Publications
2025
-Behera A., Malavolta G., Morimae T., Mour T., Yamakawa T. (2025). A new world in the depths of microcrypt: Separating OWSGs and quantum money from QEFID. Annual International Conference on the Theory and Applications of Cryptographic Techniques. 23-52.
-Borgonovo E., Figalli A., Ghosal P., Plischke E., Savaré, G. (2025). Convexity and measures of statistical association. Journal of the Royal Statistical Society Series B. Forthcoming.
-Borst S., Eliáš M., Venzin M. (2025). Stronger adversaries grow cheaper forests: online node-weighted Steiner problems. Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 3842-3864.
-Branco P., Choudhuri A.R., Döttling N., Jain A., Malavolta G. (2025). A Srinivasan black-box non-interactive zero knowledge from vector trapdoor hash. Annual International Conference on the Theory and Applications of Cryptographic Techniques, 64-92.
-Bruè E., Naber A., Semola D. (2025). Fundamental groups and the Milnor conjecture. Annals of Mathematics, 201, 225-289.
-Cerreia-Vioglio S., Hansen L.P., Maccheroni F., Marinacci M. (2025). Making decisions under model misspecification. Review of Economic Studies, forthcoming.
-De Rosa A., Lei Y., Young R. (2025). Construction of fillings with prescribed Gaussian image and applications. Archive for Rational Mechanics and Analysis. Forthcoming.
-De Rosa A., Tione R. (2025). The double and triple bubble problem for stationary varifolds: the convex case. Transactions of the American Mathematical Society, 378, 3393–3444.
-Durante D., Gaffi F., Lijoi A., Prünster I. (2025). Partially exchangeable stochastic block models for (node-colored) multilayer networks. Journal of the American Statistical Association. Forthcoming.
-Fortini S., Petrone S. (2025). Exchangeability, prediction and predictive modeling in Bayesian statistics. Statistical Science, 40, 40-67.
-Gaffi F., Lijoi A., Prünster I. (2025). Random probability measures with fixed mean distribution. The Annals of Applied Probability. Forthcoming.
-Goplerud M., Papaspiliopoulos O., Zanella G. (2025). Partially factorized variational inference for high-dimensional mixed models. Biometrika. Forthcoming.
-Legramanti S., Durante D., Alquier P. (2025). Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity. Annals of Statistics, 53, 37–60.
- Maccheroni F., Marinacci M., Wang R. Wu Q. (2025). Risk aversion and insurance propensity. American Economic Review, forthcoming.
-Malavolta G. (2025). Key-homomorphic and aggregate verifiable random functions. Theory of Cryptography Conference, 98-129.
-Mour T., Rosen A., Rothblum R. (2025). Locally testable tree codes. Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), 5523-5559.
-Pozza F., Zanella G. (2025) On the fundamental limitations of multiproposal Markov chain Monte Carlo algorithms. Biometrika. Forthcoming.
- Röttger P., Pernisi F., Vidgen B., Hovy D. (2025). Safetyprompts: a systematic review of open datasets for evaluating and improving large language model safety. Proceedings of the AAAI Conference on Artificial Intelligence, 39(26), 27617-27627.
- Szabo, B.T., Hadji, A., van der Vaart, A. (2025) Adaptation using spatially distributed Gaussian Processes. Journal of the American Statistical Association. Forthcoming.
-Taylor A., Macaulay V.M., Miossec M.J., Maurya A.K., Buffa F.M. (2025). GeneFEAST: the pivotal, gene-centric step in functional enrichment analysis interpretation. Bioinformatics 41 (3), btaf100.
-Yang D., Hovy D., Jurgens D., Plank B. (2025). Socially aware language technologies: Perspectives and practices. Computational Linguistics. Forthcoming.
2024
-Abe M., Bogdanov A., Ohkubo M., Rosen A., Shang Z., Tibouchi M. (2024). CDS composition of multi-round protocols. Annual International Cryptology Conference, 391-423.
-Agrawalr S., Malavolta G., Zhang T. (2024). Time-lock puzzles from lattices. Annual International Cryptology Conference, 425-456.
-Amore M., Schwenen, S. (2024). Hiring lucky CEOs. The Journal of Law Economics & Organization, 40, 571-596.
-Ascolani F., Franzolini B., Lijoi A., Prünster I. (2024). Nonparametric priors with full-range borrowing of information. Biometrika, 111, 945-969.
-Ascolani F., Zanella G. (2024). Dimension-free mixing times of Gibbs samplers for Bayesian hierarchical models. Annals of Statistics, 52, 869-894.
-Battigalli P., Catonini E. (2024). The epistemic spirit of divinity. Journal of Economic Theory, 222, 105903.
-Bernasconi M., Castiglioni M., Celli A., Fusco F. (2024). Beyond primal-dual methods in bandits with stochastic and adversarial constraints. Proceedings of the 38th Conference on Neural Information Processing Systems, NeurIPS 2024.
-Bernasconi M., Castiglioni M., Celli A., Fusco F. (2024). Bandits with replenishable knapsacks: the best of both worlds. 12th International Conference on Learning Representations, ICLR 2024.
-Biroli G., Bonnaire T., De Bortoli V., Mézard M. (2024). Dynamical regimes of diffusion models. Nature Communications, 15, 9957.
-Bogdanov A., Jones C., Rosen A., Zadik I. (2024). Low-degree security of the planted random subgraph problem. Theory of Cryptography Conference, 255-275.
-Borgonovo E., Figalli A., Plischke E., Savaré G. (2024). Global sensitivity analysis via optimal transport. Management Science. Forthcoming.
-Branco P., Lai R.W.F., Maitra M., Malavolta G., Rahimi A., Woo I.K.Y. (2024). Traitor tracing without trusted authority from registered functional encryption. International Conference on the Theory and Application of Cryptology and Information Security, 33-66.
-Bruè E., Coti Zelati M., Marconi E. (2024). Enhanced dissipation for two-dimensional Hamiltonian flows. Archive for Rational Mechanics and Analysis, 248, 84.
-Bruè E. (2024). Instability and nonuniqueness in mathematical fluid dynamics. Journal of Hyperbolic Differential Equations, 21, 563-620.
-Castiglioni M., Celli A., Kroer, C. (2024). Online learning under budget and ROI constraints via weak adaptivity. ICML'24: Proceedings of the 41st International Conference on Machine Learning, 5792-5816.
-Catalano M., Lavenant H., Lijoi A., Prünster I. (2024). A Wasserstein index of dependence for random measures. Journal of the American Statistical Association, 119, 2396-2406.
-Cini V., Malavolta G., Nguyen N.K., Wee H. (2024). Polynomial commitments from lattices: post-quantum security, fast verification and transparent setup. Annual International Cryptology Conference, 207-242.
-De Philippis G., Pigati A. (2024). Non-degenerate minimal submanifolds as energy concentration sets: A variational approach. Communications on Pure and Applied Mathematics, 77, 3581-3627.
-De Philippis G., De Rosa A. (2024). The anisotropic Min-Max theory: Existence of anisotropic minimal and CMC surfaces. Communications on Pure and Applied Mathematics, 77, 3184–3226.
-De Rosa A. (2024). On the theory of anisotropic minimal surfaces. Notices of the American Mathematical Society, 71, 853–859.
-Durante D., Pozza F., Szabo, B.T. (2024). Skewed Bernstein-von Mises theorem and skew-modal approximations. Annals of Statistics, 52, 2714–2737.
-Eliáš M., Kaplan H., Mansour Y., Moran S. (2024). Learning-augmented algorithms with explicit predictors. Proceedings of the 38th Conference on Neural Information Processing Systems, NeurIPS 2024.
-Favaro S., Fortini S., Pelucchetti S. (2024). Large-width asymptotics and training dynamics of alpha-Stable ReLU neural networks. Transactions on Machine Learning Research. TRANSACTIONS ON MACHINE LEARNING RESEARCH.
-Favero C.A., Melone A., Tamoni A. (2024). Monetary policy and bond prices with drifting equilibrium rates. Journal of Financial and Quantitative Analysis, 59, 626-651.
-Franzolini B., Beskos A., De Iorio M., Poklewski Koziell W., Grzeszkiewicz K. (2024). Change point detection in dynamic Gaussian graphical models: the impact of COVID-19 pandemic on the US stock market. The Annals of Applied Statistics, 18(1), 555-584.
-Gerace F., Doimo D., Sarao Mannelli S., Saglietti L., Laio A. (2024). How to choose the right transfer learning protocol? A qualitative analysis in a controlled set-up. Transactions on Machine Learning Research.
-Lauditi C., Troiani E., Mézard M. (2024). Sparse representations, inference and learning. Journal of Statistical Mechanics: Theory and Experiment, 2024, 104001.
-Lavenant H., Zhang S., Kim Y.-H., Schiebinger G. (2024). Towards a mathematical theory of trajectory inference (slides). Annals of Applied Probability, 34, 428-500.
-Lavenant H., Zanella G. (2024). Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity. SIAM Journal on Optimization, 34, 3750-3761.
-Lijoi A., Prünster I., Rigon T. (2024). Finite-dimensional discrete random structures and Bayesian clustering. Journal of the American Statistical Association, 119, 929-941.
-Lucibello C., Mézard M. (2024). Exponential capacity of dense associative memories. Physical Review Letters, 132, 077301.
-Marcellino M., Carriero A., Clark Todd E. (2024). Capturing macroeconomic tail risks with Bayesian vector autoregressions. Journal of Money, Credit and Banking, 56, 1099-1127.
-Ottaviani M., Wickelgren A.L. (2024). Approval regulation and learning, with application to timing of merger control. The Journal of Law & Organization, 40, 597-624.
-Parise D., Pigati A., Stern D. (2024). The parabolic U(1)-Higgs equations and codimension-two mean curvature flows. Geometric and Functional Analysis, 34, 1171-1225.
-Rooein D., Rottger P., Shaitarova A., Hovy D. (2024). Beyond flesch-kincaid: Prompt-based metrics improve difficulty classification of educational texts. Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024), 54-67.
-Röttger P., Kirk H., Vidgen B., Attanasio G., Bianchi F., Hovy D. (2024). XSTest: A test suite for identifying exaggerated safety behaviours in Large Language Models. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 5377–5400.
-Silva, L., Zanella G. (2024). Robust leave-one-out cross-validation for high-dimensional Bayesian models. Journal of the American Statistical Association, 119, 2369–238.
-Wang X., Ma B., Hu C., Weber-Genzel L., Röttger P., Kreuter F., Hovy D., Plank, B. (2024). "My answer is C”: first-token probabilities do not match text answers in instruction-tuned language models. Findings of the Association for Computational Linguistics (ACL 2024), 7407-7416.
2023
-Adda J, Jerome F., Dustmann, C. (2022). Sources of wage growth. Journal of Political Economy. Forthcoming.
-Adda J, Jerome F., Dustmann, C. (2023). Sources of wage growth. Journal of Political Economy, 131, 456-503.
-Alfano M., Goerlach Joseph-S. (2023). Terrorism, media coverage and education: evidence from al-Shabaab attacks in Kenya. Journal of the European Economic Association, 21, 727-763.
-Anceschi N., Fasano A., Durante D., Zanella G. (2023). Bayesian conjugacy in probit, tobit, multinomial probit and extensions: A review and new results. Journal of the American Statistical Association, 118, 1451-1469.
-Annesi B.L., Lauditi C., Lucibello C., Malatesta E.M., Perugini G., Pittorino F., Saglietti, L. (2023). Star-shaped space of solutions of the spherical negative perceptron. Physical Review Letters, 131, 227301.
-Antoniadis A., Coester C., Eliáš M., Polak A., Simon B. (2023). Mixing predictions for online metric algorithms. Proceedings of the 40th International Conference on Machine Learning, PMLR 202:969-983, 2023.
-Ascolani F., Lijoi A., Rebaudo G., Zanella G. (2023). Clustering consistency with Dirichlet process mixtures. Biometrika, 110, 551-558.
-Battigalli P., Panebianco F., Pin P. (2023). Learning and selfconfirming equilibria in network games. Journal of Economic Theory. 212, 105700.
-Borgonovo E., Rabitti G. (2023) Screening: from tornado diagrams to effective dimensions. European Journal of Operational Research. 304, 1200-1211.
-Bruè E., De Lellis C. (2023). Anomalous dissipation for the forced 3D Navier–Stokes equations. Communications in Mathematical Physics, 400, 1507-1533.
-Cavagnari G., Savaré G., Sodini G.E. (2023). Dissipative probability vector fields and generation of evolution semigroups in Wasserstein spaces. Probability Theory and Related Fields, 185, 1087-1182.
-Cerreia Vioglio S., Maccheroni F., Marinacci M., Rustichini A. (2022). Multinomial logit processes and preference discovery: inside and outside the black box. Review of Economic Studies. Forthcoming .
-Cerreia Vioglio S., Maccheroni F., Marinacci M., Rustichini A. (2023). Multinomial logit processes and preference discovery: inside and outside the black box. Review of Economic Studies, 90, 1155-1194.
-Goerlach Joseph-S., Alfano M., (2022). Terrorism, media coverage and education: evidence from al-Shabaab attacks in Kenya. Journal of the European Economic Association. Forthcoming.
-Liero M., Mielke A., Savaré G. (2023). Fine properties of geodesics and geodesic lambda-convexity for the Hellinger–Kantorovich distance. Archive for Rational Mechanics and Analysis 247, 112.
-Lu, X., Borgonovo, E. (2023). Global sensitivity analysis in epidemiological modeling. European Journal of Operational Research, 304, 9-24.
-Lucibello C., Feinauer C., Meynard-Piganeau B. (2022). Interpretable pairwise distillations for generative protein sequence models. PLOS Computational Biology. Forthcoming.
-Maccheroni Fabio A., Cerreia-Vioglio S., Marinacci M., Rustichini A. (2022). Multinomial logit processes and preference discovery: inside and outside the black box. Review of Economic Studies. Forthcoming.
-Manconi Alberto B., F., Zhu H. (2022). Household credit and regulatory arbitrage: evidence from online marketplace lending. Management Science. Forthcoming.
-Marinacci M., Cerreia-Vioglio S., Maccheroni F., Rustichini A. (2022). Multinomial logit processes and preference discovery: inside and outside the black box. Review of Economic Studies. Forthcoming.
-Moon Sungkyun, Tuli Kapil R., Mukherjee A. (2022). Does disclosure of advertising spending help investors and analysts? Journal of Marketing. Forthcoming.
-Moon, S., Tuli, K. R., Mukherjee, A. (2023). Does Disclosure of Advertising Spending Help Investors and Analysts? Journal of Marketing, 87, 359-382.
-Nozza D., Hovy D. (2023). The state of profanity obfuscation in Natural Language Processing scientific publications. Findings of the Association for Computational Linguistics (ACL 2023), 3897-3909.
-Szabo B.T., Vuursteen L., van Zanten J.H. (2023). Optimal high-dimensional and nonparametric distributed testing under communication constraints. Annals of Statistics, 51, 909-934.
-Vogrinc J., Livingstone S., Zanella G. (2023). Optimal design of the Barker proposal and other locally-balanced Metropolis-Hastings algorithms. Biometrika, 110, 579-595.
2022
-Amore M., Mario, D., Marzano, R. (2022). Corporate ownership and antitrust violations. The Journal of Law & Economics. 65, 369-394.
-Attanasio, G., Nozza, D., Hovy, D., Baralis, E. (2022). Entropy-based attention regularization frees unintended bias mitigation from lists, Findings of the Association for Computational Linguistics: ACL 2022, 1105–1119.
-Bedford, D. S., Ditillo, A. (2022). From governing to managing: exploring modes of control in private equity relationships. European Accounting Review, 4, 843-875.
-Bergman, A. S., Abercrombie, G., Spruit, S., Hovy, D., Dinan, E., Boureau, Y-L., Rieser, V. (2022). Guiding the release of safer E2E conversational AI through value sensitive design, Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 39–52.
-Bianchi, F., Nozza, D., Hovy, D. (2022). XLM-EMO: multilingual emotion prediction in social media text, Proceedings of the 12th workshop on computational approaches to subjectivity, sentiment & social media analysis, 195–203.
-Borgonovo E., Li, G., Barr, J., Plischke E., Rabitz H. (2022). Global sensitivity analysis with mixtures: a generalized functional ANOVA approach. Risk Analysis. 42, 304-333.
-Borgonovo E., Plischke E., Rabitti G. (2022). Interactions and computer experiments. Scandinavian Journal of Statistics. 49, 1274-1303.
-Durante D., Legramanti S., Rigon T., Dunson David B. (2022). Extended stochastic block models with application to criminal networks. The Annals of Applied Statics. 16, 2369-2395.
-Fasano, A., Durante D., (2022). A class of conjugate priors for multinomial probit models which includes the multivariate normal one. Journal of Machine Learning Research. 23, 1-26.
-Fasano A., Durante D., Zanella G. (2022). Scalable and accurate variational Bayes for high-dimensional binary regression models. BIOMetrika. 109, 901-919.
-Fosfuri A., Abolfathi, N., Santamaria, S. (2022). Out of the trap: conversion funnel business model, customer switching costs, and industry profitability. Strategic Management Journal. 43, 1872-1896.
-Grossetti, Francesco G., Lewis, Craig M., (2022). A statistical approach for optimal topic model identification. Journal of Machine Learning Research. 23, 1−20.
-Lauscher, A., Crowley, A., Hovy, D. (2022). Welcome to the modern world of pronouns: identity-inclusive Natural Language Processing beyond gender, Proceedings of the 29th International Conference on Computational Linguistics COLING 2022, 1221–1232.
-Lijoi A., Catalano M., De Blasi P., Pruenster I. (2022). Posterior asymptotics for boosted Hierarchical Dirichlet Process mixtures. Journal of Machine Learning Research. 23, 1−23.
-Lucibello C., Angelini Maria C., Parisi G., Perrupato G., Ricci-Tersenghi F., Rizzo T. (2022). Unexpected upper critical dimension for spin glass models in a field predicted by the loop expansion around the Bethe solution at zero temperature. Physical Review Letters, 128.
-Maccheroni Fabio A., Castagnoli, E., Cattelan, G., Tebaldi, C., Wang, R. (2022). Star-shaped risk measures. Operations Research. 70, 2597-3033.
-Maffezzoli M., Cunat, A., Deak, S. (2022). Tax cuts in open economies. Review of Economic Dynamics. 45, 83-108.
-Marcellino M., Carriero A., Clark, Todd E., Mertens E. (2022). Addressing COVID-19 outliers in BVARs with stochastic volatility. The Review of Economics and Statistics, 1–38.
-Marcellino M., Carriero A., Clark, Todd E., (2022). Nowcasting tail risk to economic activity at a weekly frequency. Journal of Applied Econometrics. 37, 843-866.
-Marinacci M., Denti T., Rustichini A. (2022). Experimental cost of informations. The American Economic Review. 112, 3106-23.
-Nozza, D., Bianchi, F., Hovy, D. (2022). Pipelines for social bias testing of large language models, Proceedings of BigScience Episode #5. Workshop on Challenges & Perspectives in Creating Large Language Models, 68–74.
-Nozza, D., Bianchi, F., Attanasio, G. (2022). HATE-ITA: hate speech detection in Italian social media text. Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH), 252–260.
-Ottaviani, Marco M., Henry E., Loseto M. (2022). Regulation with experimentation: ex ante approval, ex post withdrawal, and liability. Management Science. 68, 4755-5555.
-Padoan, S., Davison Anthony, C., Stupfler, G. (2022). Tail risk inference via expectiles in heavy-tailed time series. Journal of Business & Economic Statistics. 0, 1–14.
-Piccarreta, R., Mencarini, L., Le Moglie, M. (2022). Life-course perspective on personality traits and fertility with sequence analysis. Journal of the Royal Statistical Society. Series A. Statistics in Society. 185, 1344-1369.
-Rottger, P., Vidgen, B., Hovy, D., Pierrehumbert, J. (2022). Two contrasting data annotation paradigms for subjective NLP tasks, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 175–190.
-Shi Qiaoni, Gal-Or, E. (2022). Designing entry strategies for subscription platforms. Management Science. 68, 7597-7613.
-Szabo Botond T., Nieman, D., van Zanten H. (2022). Contraction rates for sparse variational approximations in Gaussian process regression. Journal of Machine Learning Research. 23, 1-26.
-Szabo Botond T., Ray, K. (2022). Variational Bayes for high-dimensional linear regression with sparse priors. Journal of the American Statistical Association. 117, 1270-1281.
2021
- Adda, J., Dustmann, C., Goerlach, J. S. (2021). The dynamics of return migration, human capital accumulation, and wage assimilation. The Review of Economic Studies, 89, 2841–2871.
- Ascolani, F., Lijoi, A. and Ruggiero, M. (2021). Predictive inference with Fleming-Viot driven dependent Dirichlet processes. Bayesian Analysis, 16, 371-395.
- Becchetti, L., Clementi, A., Pasquale, F., Trevisan, L. and Ziccardi,I. (2021). Expansion and Flooding in Dynamic Random Networks with Node Churn. Proc. of ICDCS 2021.
- Beranger, B., Padoan, S. A., Sisson, S. A. (2021). Estimation and uncertainty quantification for extreme quantile regions. Extremes, 24, 377–378.
- Berger, L., Marinacci, M., Berger, N., Bosetti, V., Gilboa, I., Hansen, L. P., Jarvis, C., Smith, R. D. (2021). Rational policymaking during a pandemic. Proceedings of the National Academy of Sciences of the United States of America, 118, 4.
- Betancourt, B., Zanella, G. and Steorts, R. (2021). Random Partition Models for Microclustering Tasks. Journal of the American Statistical Association, 117, 1215-1227.
- Bianchi, F., Terragni, S., Hovy, D. (2021). Pre-training is a hot topic: contextualized document embeddings improve topic coherence. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2.
- Bianchi, F., Terragni, S., Hovy, D., Nozza, D., Fersini, E. (2021). Cross-lingual contextualized topic models with zero-shot learning, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics.
- Borgonovo, E., Gordon B., H., Victor Richmond R. J., Plischke, E. (2021). Probabilistic sensitivity measures as information value. European Journal of Operational Research, 289, 595-610.
- Camerlenghi, F., Lijoi, A., Prünster, I. (2021). Survival analysis via hierarchically dependent mixture hazards. The Annals of Statistics, 49, 863-884.
- Cao, J., Durante, D., Genton, M.G. (2021). Scalable computation of predictive probabilities in probit models with Gaussian process priors. Journal of Computational and Graphical Statistics, 31, 709-720.
- Catalano, M., Antonio L., Prünster, I. (2021). Measuring dependence in the Wasserstein distance for Bayesian nonparametric models. Annals of Statistics, 49, 2916 - 2947.
- Chen, A., Shi, J., Trevisan, L. (2021). Cut Sparsification of the
Clique Beyond the Ramanujan Bound. Proc. of SODA 2022, arXiv:2008.05648.
- Cunat, A., Deak, S., Maffezzoli, M. (2021). Tax cuts in open economies. Review of Economic Dynamics, 45, 83-108.
- Denti, F., Guindani, M., Leisen, F., Lijoi, A., Vannucci, M. and Wadsworth, D. (2021). Two-group Poisson-Dirichlet mixtures for multiple testing. Biometrics, 77, 622-633.
- Fasano, A., Durante, D., Rebaudo, G., Petrone, S. (2021). A closed-form filter for binary time series. Statistics and Computing, 31, 47
- Fochesato, M., Higham, C., Bogaard, A., Castillo, C. C. (2021). Changing social inequality from first farmers to early states in Southeast Asia. Proceedings of the National Academy of Sciences of the United States of America, 118, 47.
- Goerlach, J.S., Motz, N. (2021). Spillovers and strategic interaction in immigration policy. Journal of Economic Geography, 22, 215.
- Hashorva, E., Padoan S., Rizzelli, S. (2021). Multivariate extremes over a random number of observations. Scandinavian Journal of Statistics, 48, 845-880.
- Hoffmann, F., Inderst, R., Ottaviani, M. (2021). Persuasion through selective disclosure: implications for marketing, campaigning, and privacy regulation. Management Science, 66, 4921-5484.
- Hovy, D., Melumad, S., Inman, J. J. (2021). Wordify: a tool for discovering and differentiating consumer vocabularies. The Journal of Consumer Research, 48, 394 - 414.
- Hovy, D., Yang, D. (2021). The importance of modeling social factors of language: theory and practice. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
- Legramanti, S., Rigon, T., Durante, D., Dunson, D.B. (2021). Extended stochastic block models with application to criminal networks. Annals of Applied Statistics, 16, 2369-2395.
- Livingstone, S., Zanella, G. (2021). The Barker proposal: combining robustness and efficiency in gradient-based MCMC. Journal of the Royal Statistical Society Series B Statistical Methodology, 84, 496-523.
- Lijoi, A., Prünster, I., Rebaudo, G. (2021). Flexible clustering via hidden hierarchical Dirichlet priors. Scandinavian Journal of Statistics, forthcoming.
- Nunnari, S. (2021). Dynamic legislative bargaining with veto power: theory and experiments. Games and Economic Behavior, 126, 186-230.
- Padoan, S. A., Stupfler, G. (2021). Joint inference on extreme expectiles for multivariate heavy-tailed distributions. Bernoulli, 28, 1021-1048.
- Padoan, S. A., Rizzelli, S. (2021). Consistency of Bayesian inference for multivariate max-stable distributions. Annals of Statistics, 3, 1490-1518.
- Puy, A., Borgonovo, E., Lo Piano, S. et al. Irrigated areas drive irrigation water withdrawals. Nature Communications, 12, 4525.
- Rossi, F., Rubera, G., (2021). Measuring competition for attention in social media: National Women?s Soccer League players on Twitter. Marketing Sciences, 40, 1009-1216.
- Wade, S., Piccarreta, R., Cremaschi, A., Antoniano-Villalobos, I. (2021). Colombian women's life patterns: a multivariate density regression approach. Bayesian Analysis, 17, 405–433.
- Zanella, G., and Roberts, G.O. (2021). Multilevel linear models, Gibbs samplers and multigrid decompositions. Bayesian Analysis (with discussion), 16, 1309–1391.
2020
- Adda, J. Decker, C., Ottaviani, M. (2020). P-hacking in clinical trials and how incentives shape the distribution of results across phases. Proceedings of the National Academy of Sciences of the USA, 117, 24.
- Angelini, M. C., Lucibello C., Parisi, G., Ricci-Tersenghi, F., Rizzo, T. (2020). Loop expansion around the Bethe solution for the random magnetic field Ising ferromagnets at zero temperature. Proceedings of the National Academy of Sciences of the USA, 117, 2268-2274.
- Antoniano-Villalobos, I., Borgonovo, E., Lu, X. (2020). Nonparametric estimation of probabilistic sensitivity measures. Statistics and Computing, 30, 447-467.
- Baldassi, C., Pittorino, F., Zecchina, R. (2020). Shaping the learning landscape in neural networks around wide flat minima. Proceedings of the National Academy of Sciences of the USA, 117, 161-170.
- Carletti, E., Marquez, R., Petriconi S. (2020). The redistributive effects of bank capital regulation. Journal of Financial Economics, 136, 743-759.
- Carroni, E., Pin, P., Righi, S. (2020). Bring a friend! Privately or publicly? Management Science, 66, 2269-2290.
- Catalano, M., Lijoi, A., and Prünster, I. (2020). Approximation of Bayesian models for time-to-event data. Electronic Journal of Statistics, 14, 3366-3395.
- De Blasi, P., Martinez, A.E., Mena, R.H., Prünster, I. (2020). On the inferential implications of decreasing weight structures in mixture models. Computational Statistics & Data Analysis, 147, 106940.
- Falk, M., Khorrami Chokami, A., Padoan, S. A. (2020). Records for some stationary dependence sequences. Journal of Applied Probability, 57, 78-96.
- Falk, M., Padoan, S. A., Rizzelli, S. (2020).Strong convergence of multivariate maxima. Journal of Applied Probability, 57, 314-331.
- Favero, C. (2020). Why is COVID-19 mortality in Lombardy so high? Evidence from the simulation of a SEIHCR model. COVID Economics, 1, 47-62.
- Fortini, S., and Petrone, S. (2020). Quasi‐Bayes properties of a procedure for sequential learning in mixture models. Journal of the Royal Statistical Society: Series B, 82, 1087-1114.
- Giannetti, V., Rubera, G. (2020). Innovation for and from emerging countries: a closer look at the antecedents of trickle-down and reverse innovation. Journal of the Academy of the Marketing Science, 48, 987–1008.
- Graziadei, H., Lijoi, A., Lopes, H.F., Marques F., P.C, Prünster, I. (2020). Prior sensitivity analysis in a semi-parametric integer-valued time series model. Entropy, 22, 69.
- Gueudré, T., Baldassi, C., Pagnani, A., Weigt, M. (2020). Predicting interacting protein pairs by coevolutionary paralog matching. Protein-protein interaction networks, Springer.
- Hovy, D., Bianchi, F., Fornaciari, T. (2020). "You sound just like your father". Commercial machine translation systems include stylistic biases. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
- Li, Y., Luo, P., Pin, P. (2020). Utility-based model for characterizing the evolution of social networks. IEEE Transactions on Systems, Man and Cybernetics: Systems, 50, 1083-1094.
- Lijoi, A., Prünster, I., Rigon, T. (2020). The Pitman-Yor multinomial model for mixture modelling. Biometrika, 107, 891–906.
- Lijoi, A., Prünster, I., and Rigon, T. (2020). Sampling hierarchies of discrete random structures. Statistics and Computing, 30, 1591-1607.
- Lu, X., Rudi, A., Borgonovo E., Rosasco, L. (2020). Faster kriging: facing high-dimensional simulators Operations Research, 68, 233-249.
- Papaspiliopoulos, O., Roberts, G.O., Zanella, G. (2020). Scalable inference for crossed random effects models. Biometrika, 107, 25-40.
- Shah, D. S., Schwartz, H. A., Hovy, D. (2020). Predictive biases in natural language processing models: a conceptual framework and overview. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.
- Zanella, G. (2020). Informed proposals for local MCMC in discrete spaces. Journal of the American Statistical Association, 115, 852-865.
2019
- Aliverti, E., Durante, D. (2019). Spatial modeling of brain connectivity data via latent distance models with nodes clustering. Statistical Analysis and Data Mining.
- Arbel, J., De Blasi, P., Prünster, I. (2019). Stochastic approximations to the Pitman-Yor process. Bayesian Analysis, 15, 1201-1219.
- Baldassi, C., Malatesta, E. M., Zecchina, R. (2019). Properties of the geometry of solutions and capacity of multilayer neural networks with rectified linear unit activations. Physical Review Letters 123.
- Bonetti, M., Cirillo, P., Ogay, A. (2019). Computing the exact distributions of some functions of the ordered multinomial counts: maximum, minimum, range and sums of order statistics. Royal Society Open Science, 6.
- Camerlenghi, F., Dunson, D.B., Lijoi, A., Prünster, I., Rodriguez, A. (2019). Latent nested nonparametric priors (with discussion). Bayesian Analysis, 15, 1303-1356.
- Camerlenghi, F., Lijoi, A., Orbanz, P., Prünster, I. (2019). Distribution theory for hierarchical process. The Annals of Statistics, 47, 67-92.
- Durante, D. (2019). Conjugate Bayes for probit regression via unified skew-normal distributions. Biometrika, 106, 765-779.
- Durante, D., Canale A., Rigon T. (2019). A nested expectation–maximization algorithm for latent class models with covariates. Statistics and Probability Letters, 146, 97-103.
- Durante, D., Rigon, T. (2019). Conditionally conjugate mean-field variational Bayes for logistic models. Statistical Science, 34, 472-485.
- Falk, M., Padoan, S. A., Wisheckel, F. (2019). Generalized Pareto copulas: a key to multivariate extremes. Journal of Multivariate Analysis, 174.
- Fornaciari, T., Hovy, D. (2019). Dense Node Representation for Geolocation. Proceedings of the 2019 EMNLP Workshop W-NUT: The 5th Workshop on Noisy User-generated Text.
- Fornaciari, T., Hovy, D. (2019). Geolocation with Attention-Based Multitask Learning Models. Proceedings of the 2019 EMNLP Workshop W-NUT: The 5th Workshop on Noisy User-generated Text.
- Fornaciari, T., Hovy, D. (2019). Identifying Linguistic Areas for Geolocation. Proceedings of the 2019 EMNLP Workshop W-NUT: The 5th Workshop on Noisy User-generated Text.
- Garimella, A., Banea, C., Hovy, D., Mihalcea, R. (2019). Women’s Syntactic Resilience and Men’s Grammatical Luck: Gender-Bias in Part-of-Speech Tagging and Dependency Parsing. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.
- Giussani, A., Bonetti, M. (2019). A note on the length-biased Weibull-Gamma frailty survival modeL. Statistics & Probability Letters, 153, 32-36.
- Giussani, A., Bonetti, M. (2019). Marshall–Olkin frailty survival models for bivariate right-censored failure time data. Journal of Applied Statistics, 46, 2945-2961.
- Henry, E., Ottaviani, M. (2019). Research and the approval process: the organization of persuasion. American Economic Review, 109, 911-955.
- Lee, A., Tiberi, S., Zanella, G. (2019). Unbiased approximations of products of expectations. Biometrika, 106, 708–715.
- Lucibello C., Saglietti L., Lu, Y. (2019). Generalized approximate survey propagation for high-dimensional estimation. Proceedings of Machine Learning Research. Vol. 97: International Conference on Machine Learning, 9-15 June 2019, Long Beach, California, USA.
- Nguyen, H., Hovy, D. (2019). Hey Siri. Ok Google. Alexa: A topic modeling of user reviews for smart speakers. Proceedings of the 2019 EMNLP Workshop W-NUT: The 5th Workshop on Noisy User-generated Text.
- Plischke, E., Borgonovo, E. (2019). Copula theory and probabilistic sensitivity analysis: is there a connection? European Journal of Operational Research, 277, 1046-1059.
- Purschke, C., Hovy, D. (2019). Lörres, Möppes, and the Swiss. (Re)Discovering regional patterns in anonymous social media data. Journal of Linguistic Geography, 7, 113-134.
- Rabitti, G., Borgonovo, E. (2019). A Shapley-Owen index for interaction quantification. SIAM/ASA Journal on Uncertainty Quantification, 7, 1060-1075.
- Rigon, T., Durante, D., Torelli, N. (2019). Bayesian semiparametric modelling of contraceptive behaviour in India via sequential logistic regressions. Journal of the Royal Statistical Society Series A, 182, 225-247.
2018
- Antoniano-Villalobos, I., Borgonovo, E., Siriwardena, S. N. (2018). Which parameters are important? Differential importance under uncertainty. Risk Analysis, 38, 2459-2477.
- Anzarut, M., Mena, R.H., Nava, C. and Prünster, I. (2018). Poisson driven stationary Markov models. Journal of Business and Economic Statistics, 36, 684-694.
- Baldassi, C., Zecchina, R. (2018). Efficiency of quantum vs. classical annealing in nonconvex learning problems. Proceedings of the National Academy of Sciences, 1457-1462.
- Baldassi, C., Gerace, F., Saglietti, L., Zecchina, R. (2018). From inverse problems to learning: a statistical mechanics approach. Journal of Physics: Conference Series 955.
- Baldassi, C., Gerace, F., Kappen, H. J., Lucibello, C., Saglietti, L., Tartaglione, E., Zecchina, R. (2018). Role of synaptic stochasticity in training low-precision neural networks Physical Review Letters, 120.
- Boncinelli, L., Pin, P. (2018). The stochastic stability of decentralized matching on a graph. Games and Economic Behavior, 108, 239-244.
- Borgonovo, E., Buzzard, G., Wendell, R. (2018). A global tolerance approach to sensitivity analysis in linear programming. European Journal of Operational Research, 267, 321-337.
- Caglio, A. 2018 To disclose or not to disclose? An investigation of the antecedents and effects of open book accounting. European Accounting Review, 27, 263-287.
- Camerlenghi, F., Lijoi, A., Prünster, I. (2018). Bayesian nonparametric inference beyond the Gibbs-type framework. Scandinavian Journal of Statistics, 45, 1062-1091.
- Camerlenghi, F., Lijoi, A., Prünster, I. (2018). Density estimation via hierarchies of nonparametric priors. JSM proceedings, Section on Bayesian Statistical Science, ASA, 2569-2605.
- Canale, A., Durante, D., Dunson, D. B. (2018). Convex mixture regression for quantitative risk assessment. Biometrics, 74, 1331-1340.
- Cillo, P., Griffith, D. A., Rubera, G. (2018). The new product portfolio innovativeness–stock returns relationship: the role of large individual investors’ culture. Journal Of Marketing, 82, 49-70.
- Ditillo, A., Caglio, A. (2018). Combining differentiated knowledge for innovation across organizations: the role of accounting and management controls. Accounting, innovation and inter-organisational relationships.
- Hovy, D., Fornaciari, T., (2018). Increasing In-Class Similarity by Retrofitting Embeddings with Demographic Information. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 671-677.
- Hovy, D. (2018). The Social and the Neural Network: How to Make Natural Language Processing about People again. Proceedings of the Second Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media, 42-49.
- Kume, A., Leisen, F., Lijoi, A. (2018). Limiting behaviour of the stationary search cost distribution driven by a generalized gamma process. Electronic Communications In Probability, 23, 1-10.
- Li, Y., Liu, G., Pin, P. (2018). Network-based risk measurements for interbank systems. PLOS ONE 13, 1-18
- Saglietti, L., Gerace, F., Ingrosso, A., Baldassi, C., Zecchina, R. (2018). From statistical inference to a differential learning rule for stochastic neural networks. Interface Focus, 22.
- Russo, M., Durante, D., Scarpa, B. (2018). Bayesian inference on group differences in multivariate categorical data. Computational Statistics & Data Analysis, 126, 136-149 .
2017
- Aliee, H., Borgonovo, E., Glaß, M., Teich, J. (2017). On the Boolean extension of the Birnbaum importance to non-coherent systems. Reliability Engineering and System Safety, 160, 191-200.
- Arbel, J. and Prünster, I. (2017). A moment-matching Ferguson & Klass algortihm. Statistics and Computing, 27, 3-17.
- Arbel, J., Prünster, I. (2017). On the truncation error of a superposed gamma process. Springer Proceedings in Mathematics and Statistics, 194, 151-159.
- Benavoli, A., Lijoi, A., Mira, A. (2017). Introduction to the special issue on Bayesian Nonparametrics International Journal of Approximate Reasoning, 83, 193-195.
- Borgonovo E. and Cillo A. (2017). Importance, Thresholds and Value of Information. Risk Analysis, 37, 1828-1848.
- Borgonovo E., and Iooss B. (2017). Moment Independent Importance Measures. Springer Handbook on Uncertainty Quantification, 1265-1287.
- Brummitt, C. D., Huremović, K., Pin, P., Bonds, M. H.,Vega-Redondo, F. (2017). Contagious disruptions and complexity traps in economic development Nature Human Behavour, 1, 665–672.
- Camerlenghi, F., Lijoi, A., Prünster, I. (2017). Bayesian prediction with multiple-samples information Journal of Multivariate Analysis, 156, 18-28.
- Camerlenghi, F., Lijoi, A., Prünster, I. (2017). On some distributional properties of hierarchical processes JSM proceedings, Section on Bayesian Statistical Science, ASA, 853-860.
- Canale, A., Lijoi, A., Nipoti, B., Prünster, I. (2017). On the Pitman-Yor process with spike and slab base measure. Biometrika, 104, 681-697.
- Canale, A. and Prünster, I. (2017). Robustifying Bayesian nonparametric mixtures for count data. Biometrics, 73, 174-184.
- Fortini, S., Petrone, S. (2017). Predictive Characterization of Mixtures of Markov Chains. Bernoulli, 23, 1538-1565.
- Gambardella, A., Raasch, C. and Von Hippel, E. (2017). The User Innovation Paradigm: Impacts on Markets and Welfare. Management Science, 63, 1450-1468.
- Kon Kam King, G., Arbel, J., Prünster, I. (2017). A Bayesian nonparametric approach to ecological risk assessment. Springer Proceedings in Mathematics and Statistics, 194, 11-19.
- Marcon, G., Padoan, S. A., Naveau P., Muliere P. and J. Segers (2017). Multivariate Nonparametric Estimation of the Pickands Dependence Function using Bernstein Polynomials. Journal of Statistical Planning and Inference, 183, 1-17.
- Pin, P., Weidenholzer, E., Weidenholzer, S. (2017). Constrained mobility and the evolution of efficient outcomes Journal of Economic Dynamics and Control 82, 165-175.
- Zanella, G., Bedard, M., S Kendall, W. (2017). A Dirichlet form approach to MCMC optimal scaling Stochastic Processes and their Applications, 127, 4053-4082.
2016
- Adda, J., Dustmann, C. and Stevens, C. (2016). The Career Costs of Children. Journal of Political Economy, 125, 293 - 337.
- Amore, M. and Garofalo, O. (2016). Executive gender, competitive pressures, and corporate performance. Journal of Economic Behavior and Organization, 131, 308-327.
- Andersson, U., Dasi, A., Mudambi, R. and Pedersen, T. (2016). Technology, Innovation and Knowledge: The Importance of Ideas and International Connectivity. Journal of World Business, 51, 153-162.
- Antoniano-Villalobos, I. and Walker, S.G. (2016). A Nonparametric Model for Stationary Time Series. Journal of Time Series Analysis, 37, 126–142.
- Asmussen, C.G., Larsen, M.M. and Pedersen, T. (2016). Organizational Adaptation in Offshoring: The Relative Performance of Home- and Host-based Learning Strategies. Organization Science, 27, 911-928.
- Berchicci, L., Dutt, N. and Mitchell, W. (2016). Knowledge Sources and Waste Reduction: Less is More. Working paper.
- Beranger, B., Padoan, S.A. and Sisson, S.A. (2016). Models for extremal dependence derived from skew-symmetric families. Scandinavian Journal of Statistics, 44, 21-45.
- Birhanu, A., Gambardella, A. and Valentini, G. (2016). Bribery and Investment: Firm-level Evidence from Africa and Latin America. Strategic Management Journal, 37, 1865-1877.
- Bisetti, E., Favero, C. Nocera, G. and Tebaldi, C. (2016). A Multivariate Model of Strategic Asset Allocation with Longevity Risk, No. 10595, CEPR Discussion Papers.
- Borgonovo, E., Aliee, H., Glaß, M. and Teich, J., (2016). A new time-independent reliability importance measure. European Journal of Operational Research, 254, 427-442.
- Borgonovo, E., Plischke, E. (2016). Sensitivity analysis: A review of recent advances. European Journal of Operational Research, 248, 869-887.
- Buonaguidi, B. and Muliere, P. (2016). Bayesian sequential testing for Lévy processes with diffusion and jump components. Stochastics, 88, 1099-1113.
- Buonaguidi, B. and Muliere, P. (2016). Optimal sequential testing for an inverse Gaussian process. Sequential Analysis, 35, 69-83.
- Camerlenghi, F., Prünster I., Ruggiero, M. (2016). On time Gibbs-type random probability measures. JSM Proceedings, Section on Nonparamteric Statistics, ASA, 1969-1976.
- Carriero, A., Clark, T. and Marcellino, M. (2016). Common Drifting Volatility in Large Bayesian VARs. Journal of Business and Economic Statistics, 34, 375-390.
- Carriero, A., Kapetanios, G. and Marcellino, M. (2016). Structural analysis with Multivariate Autoregressive Index models. Journal of Econometrics, 192, 332-348.
- Cillo, P. and Rubera, G. (2016). Blessed from birth? Using Twitter data to predict startup success. Working Paper.
- Cucurachi, S., Borgonovo, E. and Heijungs, R. (2016). A Protocol for the Global Sensitivity Analysis of Impact Assessment Models in Life Cycle Assessment. Risk Analysis, 36, 357-377.
- Del Fava, E., Piccarreta, R., Gregson, S. and Melegaro, A. (2016). Transition to Parenthood and HIV Infection in Rural Zimbabwe. PLoS One 11, e0163730.
- Di Maio, F., Nicola, G., Borgonovo, E. and Zio, E. (2016). Invariant methods for an ensemble-based sensitivity analysis of a passive containment cooling system of an AP1000 nuclear power plant. Reliability Engineering and System Safety, 151, 12-19.
- Di Tillio, A., Ottaviani, M., and Sorensen, P.N. (2016). Strategic Sample Selection. Working paper.
- Dustmann, C. and Görlach, J.-S. (2016). Estimating Immigrant Earnings Profiles when Migrations Are Temporary. Labour Economics, 41, 1-8.
- Favaro, S., Lijoi, A., Nava, C., Nipoti, B, Prünster, I. and Teh, Y.W. (2016). On the stick-breaking representation for homogeneous NRMIs. Bayesian Analysis, 11, 697-724.
- Favero, C., Gozluklu, A. and Yang, H. (2016). Demographics and the Behaviour of Interest Rates. IMF Economic Review, 64, 732-776.
- Foroni, C. and Marcellino, M. (2016). Mixed frequency structural VARs. Journal of the Royal Statistical Society, Series A, 179, 403-425.
- Fosfuri A., Giarratana M.S. and Roca E. (2016). Social Business Hybrids: Demand Externalities, Competitive Advantage and Growth through Diversification. Organization Science, 25, 1275-1289.
- Henry, E. and Ottaviani, M. (2016). Wald Deconstructed: The Organization of Persuasion. Working paper.
- Kapetanios, G., Marcellino, M. and Papailias, F. (2016). Variable Selection for Large Unbalanced Datasets Using Non-Standard Optimisation of Information Criteria and Variable Reduction Methods. Computational Statistics and Data Analysis, 100, 369-382.
- Kon Kam King, G., Arbel, J., Prünster I., (2016). Bayesian Nonparametric Density Estimation in Ecotoxicology. 48e Journées de la Statistique de la SdSF, 6pp.
- Kremena, S., Fosfuri, A. and De Castro, J. (2016). Learning by Hiring: The Effect of Scientists’ Inbound Mobility on Research Performance in Academia. Organization Science, 27, 72-89.
- Lijoi, A., Muliere, P., Prünster, I. and Taddei, F. (2016). Innovation, growth and aggregate volatility from a Bayesian nonparametric perspective. Electronic Journal of Statistics, 10, 2179-2203.
- Manconi, A., Rizzo, A.E., and Spalt, O.G. (2016). Diversity investing. Working paper.
- Marcellino, M., Porqueddu, M. and Venditti, F. (2016). Short-term GDP forecasting with a mixed frequency dynamic factor model with stochastic volatility. Journal of Business and Economic Statistics, 34, 118-127.
- Marcellino, M. and Sivec, V. (2016). Monetary, Fiscal and Oil Shocks: Evidence based on Mixed Frequency Structural FAVARs. Journal of Econometrics, 193, 335–348.
- Marcon, G., Padoan, S.A., and Antoniano-Villalobos, I. (2016). Bayesian Inference for the Extremal Dependence. Electronic Journal of Statistics, 10, 3310-3337.
- Molteni, L. and Ponce de Leon, J. (2016). Forecasting With Twitter Data: An Application To USA TV Series Audience. Special Issue on Big Data, International Journal of Design & Nature and Ecodynamics, 11, 220-229.
- Rubera, G., Cillo, P., and Balocco, F. (2016). How should CEOs talk? Targeting and segmenting financial analysts with topic modeling. Working Paper.
- Torrisi, S., Gambardella, A., Giuri, P., Harhoff, D., Hoisl, K. and Mariani, M. (2016). Using, blocking, and sleeping patents: empirical evidence from a large inventor survey. Research Policy, 45, 1374–1385.
- Xiao, X., van Hoek, A.J., Kenward, M.G. Melegaro, A. and Jit, M.C. (2016). Clustering of contacts relevant to the spread of infectious disease. Epidemics, 17, 1-9.