Steyvers, Mark

18 publications

ICML 2025 Bayesian Inference for Correlated Human Experts and Classifiers Markelle Kelly, Alex James Boyd, Sam Showalter, Mark Steyvers, Padhraic Smyth

AISTATS 2024 Bayesian Online Learning for Consensus Prediction Samuel Showalter, Alex J Boyd, Padhraic Smyth, Mark Steyvers

ICMLW 2023 Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang

NeurIPS 2023 Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang

AAAI 2021 Active Bayesian Assessment of Black-Box Classifiers Disi Ji, Robert L. Logan Iv, Padhraic Smyth, Mark Steyvers

NeurIPS 2021 Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration Gavin Kerrigan, Padhraic Smyth, Mark Steyvers

NeurIPS 2020 Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference Disi Ji, Padhraic Smyth, Mark Steyvers

IJCAI 2019 SAGE: A Hybrid Geopolitical Event Forecasting System Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andrés Abeliuk, Mehrnoosh Mirtaheri, K. S. M. Tozammel Hossain, Pedro A. Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennett, David V. Budescu, Mark Himmelstein, Michael D. Ward, Andreas Beger, Michele Catasta, Rok Sosic, Jure Leskovec, Pavel Atanasov, Regina Joseph, Rajiv Sethi, Ali E. Abbas

MLJ 2014 Forecast Aggregation via Recalibration Brandon M. Turner, Mark Steyvers, Edgar C. Merkle, David V. Budescu, Thomas S. Wallsten

NeurIPS 2013 Scoring Workers in Crowdsourcing: How Many Control Questions Are Enough? Qiang Liu, Alex Ihler, Mark Steyvers

MLJ 2012 Statistical Topic Models for Multi-Label Document Classification Timothy N. Rubin, America Chambers, Padhraic Smyth, Mark Steyvers

NeurIPS 2010 Learning Concept Graphs from Text with Stick-Breaking Priors America Chambers, Padhraic Smyth, Mark Steyvers

NeurIPS 2009 The Wisdom of Crowds in the Recollection of Order Information Mark Steyvers, Brent Miller, Pernille Hemmer, Michael D. Lee

NeurIPS 2006 Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model Chaitanya Chemudugunta, Padhraic Smyth, Mark Steyvers

NeurIPS 2005 Prediction and Change Detection Mark Steyvers, Scott Brown

NeurIPS 2004 Integrating Topics and Syntax Thomas L. Griffiths, Mark Steyvers, David M. Blei, Joshua B. Tenenbaum

UAI 2004 The Author-Topic Model for Authors and Documents Michal Rosen-Zvi, Thomas L. Griffiths, Mark Steyvers, Padhraic Smyth

NeurIPS 2002 Prediction and Semantic Association Thomas L. Griffiths, Mark Steyvers