Kalai, Adam

24 publications

NeurIPSW 2023 Do Language Models Know When They're Hallucinating References? Ayush Agrawal, Mirac Suzgun, Lester Mackey, Adam Kalai

NeurIPS 2022 Are GANs Overkill for NLP? David Alvarez-Melis, Vikas Garg, Adam Kalai

NeurIPS 2022 Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms Surbhi Goel, Sham Kakade, Adam Kalai, Cyril Zhang

NeurIPS 2021 Towards Optimally Abstaining from Prediction with OOD Test Examples Adam Kalai, Varun Kanade

ALT 2019 Generalize Across Tasks: Efficient Algorithms for Linear Representation Learning Brian Bullins, Elad Hazan, Adam Kalai, Roi Livni

ICML 2019 Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops Limor Gultchin, Genevieve Patterson, Nancy Baym, Nathaniel Swinger, Adam Kalai

COLT 2018 Unleashing Linear Optimizers for Group-Fair Learning and Optimization Daniel Alabi, Nicole Immorlica, Adam Kalai

ICML 2013 A Machine Learning Framework for Programming by Example Aditya Menon, Omer Tamuz, Sumit Gulwani, Butler Lampson, Adam Kalai

ICML 2013 Feature Multi-Selection Among Subjective Features Sivan Sabato, Adam Kalai

ICML 2011 Adaptively Learning the Crowd Kernel Omer Tamuz, Ce Liu, Serge J. Belongie, Ohad Shamir, Adam Kalai

NeurIPS 2011 Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression Sham M. Kakade, Varun Kanade, Ohad Shamir, Adam Kalai

NeurIPS 2009 Potential-Based Agnostic Boosting Varun Kanade, Adam Kalai

COLT 2008 A Query Algorithm for Agnostically Learning DNF? Parikshit Gopalan, Adam Kalai, Adam R. Klivans

NeurIPS 2006 An Approach to Bounded Rationality Eli Ben-sasson, Ehud Kalai, Adam Kalai

ICML 2006 Graph Model Selection Using Maximum Likelihood Ivona Bezáková, Adam Kalai, Rahul Santhanam

COLT 2006 Logarithmic Regret Algorithms for Online Convex Optimization Elad Hazan, Adam Kalai, Satyen Kale, Amit Agarwal

COLT 2004 Learning Monotonic Linear Functions Adam Kalai

COLT 2003 Efficient Algorithms for Online Decision Problems Adam Kalai, Santosh S. Vempala

JMLR 2002 Efficient Algorithms for Universal Portfolios Adam Kalai, Santosh Vempala

COLT 1999 Beating the Hold-Out: Bounds for K-Fold and Progressive Cross-Validation Avrim Blum, Adam Kalai, John Langford

ICCV 1999 Omnivergent Stereo Heung-Yeung Shum, Adam Kalai, Steven M. Seitz

MLJ 1999 Universal Portfolios with and Without Transaction Costs Avrim Blum, Adam Kalai

MLJ 1998 A Note on Learning from Multiple-Instance Examples Avrim Blum, Adam Kalai

COLT 1997 Universal Portfolios with and Without Transaction Costs Avrim Blum, Adam Kalai