Goodman, Noah D.

14 publications

NeurIPS 2024 Learning Formal Mathematics from Intrinsic Motivation Gabriel Poesia, David Broman, Nick Haber, Noah D. Goodman

NeurIPS 2024 On Scalable Oversight with Weak LLMs Judging Strong LLMs Zachary Kenton, Noah Y. Siegel, János Kramár, Jonah Brown-Cohen, Samuel Albanie, Jannis Bulian, Rishabh Agarwal, David Lindner, Yunhao Tang, Noah D. Goodman, Rohin Shah

NeurIPS 2024 Self-Supervised Alignment with Mutual Information: Learning to Follow Principles Without Preference Labels Jan-Philipp Fränken, Eric Zelikman, Rafael Rafailov, Kanishk Gandhi, Tobias Gerstenberg, Noah D. Goodman

CVPRW 2023 Multispectral Contrastive Learning with Viewmaker Networks Jasmine Bayrooti, Noah D. Goodman, Alex Tamkin

AAAI 2021 Pragmatic Code Autocomplete Gabriel Poesia, Noah D. Goodman

AAAI 2020 Meta-Amortized Variational Inference and Learning Mike Wu, Kristy Choi, Noah D. Goodman, Stefano Ermon

MLOSS 2019 Pyro: Deep Universal Probabilistic Programming Eli Bingham, Jonathan P. Chen, Martin Jankowiak, Fritz Obermeyer, Neeraj Pradhan, Theofanis Karaletsos, Rohit Singh, Paul Szerlip, Paul Horsfall, Noah D. Goodman

AAAI 2019 Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference Mike Wu, Milan Mosse, Noah D. Goodman, Chris Piech

AISTATS 2016 C3: Lightweight Incrementalized MCMC for Probabilistic Programs Using Continuations and Callsite Caching Daniel Ritchie, Andreas Stuhlmüller, Noah D. Goodman

AAAI 2016 Learning the Preferences of Ignorant, Inconsistent Agents Owain Evans, Andreas Stuhlmüller, Noah D. Goodman

AISTATS 2014 Generating Efficient MCMC Kernels from Probabilistic Programs Lingfeng Yang, Pat Hanrahan, Noah D. Goodman

IJCAI 2011 Bayesian Policy Search with Policy Priors David Wingate, Noah D. Goodman, Daniel M. Roy, Leslie Pack Kaelbling, Joshua B. Tenenbaum

UAI 2009 The Infinite Latent Events Model David Wingate, Noah D. Goodman, Daniel M. Roy, Joshua B. Tenenbaum

UAI 2008 Church: A Language for Generative Models Noah D. Goodman, Vikash K. Mansinghka, Daniel M. Roy, Kallista A. Bonawitz, Joshua B. Tenenbaum