Kalai, Adam Tauman

23 publications

ICLR 2025 First-Person Fairness in Chatbots Tyna Eloundou, Alex Beutel, David G. Robinson, Keren Gu, Anna-Luisa Brakman, Pamela Mishkin, Meghan Shah, Johannes Heidecke, Lilian Weng, Adam Tauman Kalai

NeurIPS 2023 A Theory of Unsupervised Translation Motivated by Understanding Animal Communication Shafi Goldwasser, David Gruber, Adam Tauman Kalai, Orr Paradise

ICLR 2023 Language Models Can Teach Themselves to Program Better Patrick Haluptzok, Matthew Bowers, Adam Tauman Kalai

NeurIPS 2023 Partial Matrix Completion Elad Hazan, Adam Tauman Kalai, Varun Kanade, Clara Mohri, Y. Jennifer Sun

NeurIPSW 2023 Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation Eric Zelikman, Eliana Lorch, Lester Mackey, Adam Tauman Kalai

NeurIPSW 2023 Testing Language Model Agents Safely in the Wild Silen Naihin, David Atkinson, Marc Green, Merwane Hamadi, Craig Swift, Douglas Schonholtz, Adam Tauman Kalai, David Bau

ICML 2023 Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies Gati V Aher, Rosa I. Arriaga, Adam Tauman Kalai

NeurIPSW 2022 A Theory of Unsupervised Translation for Understanding Animal Communication Shafi Goldwasser, David Gruber, Adam Tauman Kalai, Orr Paradise

ICLRW 2022 Generating Programming Puzzles to Train Language Models Patrick Haluptzok, Matthew Bowers, Adam Tauman Kalai

NeurIPSW 2022 Language Models Can Teach Themselves to Program Better Patrick Haluptzok, Matthew Bowers, Adam Tauman Kalai

ALT 2021 Efficient Learning with Arbitrary Covariate Shift Adam Tauman Kalai, Varun Kanade

NeurIPS 2020 Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples Shafi Goldwasser, Adam Tauman Kalai, Yael Kalai, Omar Montasser

COLT 2019 Learning to Prune: Speeding up Repeated Computations Daniel Alabi, Adam Tauman Kalai, Katrina Liggett, Cameron Musco, Christos Tzamos, Ellen Vitercik

COLT 2018 Actively Avoiding Nonsense in Generative Models Steve Hanneke, Adam Tauman Kalai, Gautam Kamath, Christos Tzamos

AAAI 2018 Glass-Box Program Synthesis: A Machine Learning Approach Konstantina Christakopoulou, Adam Tauman Kalai

IJCAI 2015 Matching and Grokking: Approaches to Personalized Crowdsourcing Peter Organisciak, Jaime Teevan, Susan T. Dumais, Robert C. Miller, Adam Tauman Kalai

COLT 2010 COLT 2010 - The 23rd Conference on Learning Theory, Haifa, Israel, June 27-29, 2010 Adam Tauman Kalai, Mehryar Mohri

JMLR 2009 Analysis of Perceptron-Based Active Learning Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni

COLT 2009 Reliable Agnostic Learning Adam Tauman Kalai, Varun Kanade, Yishay Mansour

COLT 2009 The Isotron Algorithm: High-Dimensional Isotonic Regression Adam Tauman Kalai, Ravi Sastry

COLT 2007 Learning Nested Halfspaces and Uphill Decision Trees Adam Tauman Kalai

COLT 2005 Analysis of Perceptron-Based Active Learning Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni

NeurIPS 2005 From Batch to Transductive Online Learning Sham Kakade, Adam Tauman Kalai