Adam Kalai - RankMe

56 papers A* 24A 1B 3C 1Misc 1Journal 16Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Do Language Models Know When They're Hallucinating References? EACL (Findings) Ayush Agrawal, Mirac Suzgun, Lester Mackey, Adam Kalai
2022	A*	`conf`	Are GANs overkill for NLP? NeurIPS David Alvarez-Melis, Vikas Garg, Adam Kalai
2022	A*	`conf`	Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms. NeurIPS Surbhi Goel, Sham M. Kakade, Adam Kalai, Cyril Zhang
2021	J	`jnl`	Efficient Learning with Arbitrary Covariate Shift. CoRR Adam Kalai, Varun Kanade
2021	—	`conf`	Programming Puzzles. NeurIPS Datasets and Benchmarks Tal Schuster, Ashwin Kalyan, Alex Polozov, Adam Kalai
2021	A*	`conf`	Towards optimally abstaining from prediction with OOD test examples. NeurIPS Adam Kalai, Varun Kanade
2020	J	`jnl`	Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization. CoRR Vikas K. Garg, Adam Kalai, Katrina Ligett, Zhiwei Steven Wu
2019	B	`conf`	Generalize Across Tasks: Efficient Algorithms for Linear Representation Learning. ALT Brian Bullins, Elad Hazan, Adam Kalai, Roi Livni
2019	A*	`conf`	Humor in Word Embeddings: Cockamamie Gobbledegook for Nincompoops. ICML Limor Gultchin, Genevieve Patterson, Nancy Baym, Nathaniel Swinger, Adam Kalai
2019	—	`conf`	What's in a Name? Reducing Bias in Bios without Access to Protected Attributes. NAACL-HLT (1) Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Kalai
2018	J	`jnl`	Actively Avoiding Nonsense in Generative Models. CoRR Steve Hanneke, Adam Kalai, Gautam Kamath, Christos Tzamos
2018	A*	`conf`	Unleashing Linear Optimizers for Group-Fair Learning and Optimization. COLT Daniel Alabi, Nicole Immorlica, Adam Kalai
2017	—	`conf`	Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context. Rep4NLP@ACL Shyam Upadhyay, Kai-Wei Chang, Matt Taddy, Adam Kalai, James Y. Zou
2017	—	`conf`	Counterfactual Language Model Adaptation for Suggesting Phrases. IJCNLP(2) Kenneth C. Arnold, Kai-Wei Chang, Adam Kalai
2017	J	`jnl`	Supervising Unsupervised Learning. CoRR Vikas K. Garg, Adam Kalai
2016	J	`jnl`	Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. CoRR Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Kalai
2015	C	`conf`	OMG UR Funny! Computer-Aided Humor with an Application to Chat. ICCC Miaomiao Wen, Nancy Baym, Omer Tamuz, Jaime Teevan, Susan T. Dumais, Adam Kalai
2013	—	`conf`	A Machine Learning Framework for Programming by Example. ICML (1) Aditya Krishna Menon, Omer Tamuz, Sumit Gulwani, Butler W. Lampson, Adam Kalai
2013	A*	`conf`	A colorful approach to text processing by example. UIST Kuat Yessenov, Shubham Tulsiani, Aditya Krishna Menon, Robert C. Miller, Sumit Gulwani, Butler W. Lampson, Adam Kalai
2013	J	`jnl`	Feature Multi-Selection among Subjective Features CoRR Sivan Sabato, Adam Kalai
2013	—	`conf`	Feature Multi-Selection among Subjective Features. ICML (3) Sivan Sabato, Adam Kalai
2011	A*	`conf`	Adaptively Learning the Crowd Kernel. ICML Omer Tamuz, Ce Liu, Serge J. Belongie, Ohad Shamir, Adam Kalai
2011	J	`jnl`	Cooperation in two person games, revisited. SIGecom Exch. Adam Kalai, Ehud Kalai
2011	—	`conf`	Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression. NIPS Sham M. Kakade, Adam Kalai, Varun Kanade, Ohad Shamir
2010	A*	`conf`	On the Equilibria of Alternating Move Games. SODA Aaron Roth, Maria-Florina Balcan, Adam Kalai, Yishay Mansour
2010	A	`conf`	Playing Games without Observing Payoffs. ICS Michal Feldman, Adam Kalai, Moshe Tennenholtz
2010	B	`conf`	Tight asymptotic bounds for the deletion channel with small deletion probabilities. ISIT Adam Kalai, Michael Mitzenmacher, Madhu Sudan
2009	—	`conf`	Potential-Based Agnostic Boosting. NIPS Adam Kalai, Varun Kanade
2008	A*	`conf`	A Query Algorithm for Agnostically Learning DNF?. COLT Parikshit Gopalan, Adam Kalai, Adam R. Klivans
2008	A*	`conf`	Trust-based recommendation systems: an axiomatic approach. WWW Reid Andersen, Christian Borgs, Jennifer T. Chayes, Uriel Feige, Abraham D. Flaxman, Adam Kalai, Vahab S. Mirrokni, Moshe Tennenholtz
2007	J	`jnl`	The Myth of the Folk Theorem. Electron. Colloquium Comput. Complex. Christian Borgs, Jennifer T. Chayes, Nicole Immorlica, Adam Kalai, Vahab S. Mirrokni, Christos H. Papadimitriou
2006	A*	`conf`	Graph model selection using maximum likelihood. ICML Ivona Bezáková, Adam Kalai, Rahul Santhanam
2006	A*	`conf`	Logarithmic Regret Algorithms for Online Convex Optimization. COLT Elad Hazan, Adam Kalai, Satyen Kale, Amit Agarwal
2005	—	`conf`	From Batch to Transductive Online Learning. NIPS Sham M. Kakade, Adam Kalai
2004	A*	`conf`	Learning Monotonic Linear Functions. COLT Adam Kalai
2003	A*	`conf`	Boosting in the presence of noise. STOC Adam Kalai, Rocco A. Servedio
2003	A*	`conf`	Efficient Algorithms for Online Decision Problems. COLT Adam Kalai, Santosh S. Vempala
2003	J	`jnl`	Generating Random Factored Numbers, Easily. J. Cryptol. Adam Kalai
2003	J	`jnl`	Noise-tolerant learning, the parity problem, and the statistical query model. J. ACM Avrim Blum, Adam Kalai, Hal Wasserman
2003	J	`jnl`	Static Optimality and Dynamic Search-Optimality in Lists and Trees. Algorithmica Avrim Blum, Shuchi Chawla, Adam Kalai
2002	J	`jnl`	Efficient Algorithms for Universal Portfolios. J. Mach. Learn. Res. Adam Kalai, Santosh S. Vempala
2002	A*	`conf`	Efficient pattern-matching with don't cares. SODA Adam Kalai
2002	A*	`conf`	Generating random factored numbers, easily. SODA Adam Kalai
2002	J	`jnl`	Omnivergent Stereo. Int. J. Comput. Vis. Steven M. Seitz, Adam Kalai, Heung-Yeung Shum
2002	A*	`conf`	Static optimality and dynamic search-optimality in lists and trees. SODA Avrim Blum, Shuchi Chawla, Adam Kalai
2001	B	`conf`	Admission Control to Minimize Rejections. WADS Avrim Blum, Adam Kalai, Jon M. Kleinberg
2000	A*	`conf`	Efficient Algorithms for Universal Portfolios. FOCS Adam Kalai, Santosh S. Vempala
2000	J	`jnl`	Noise-Tolerant Learning, the Parity Problem, and the Statistical Query Model CoRR Avrim Blum, Adam Kalai, Hal Wasserman
2000	A*	`conf`	Noise-tolerant learning, the parity problem, and the statistical query model. STOC Avrim Blum, Adam Kalai, Hal Wasserman
1999	A*	`conf`	Beating the Hold-Out: Bounds for K-fold and Progressive Cross-Validation. COLT Avrim Blum, Adam Kalai, John Langford
1999	A*	`conf`	Finely-Competitive Paging. FOCS Avrim Blum, Carl Burch, Adam Kalai
1999	A*	`conf`	Omnivergent Stereo. ICCV Heung-Yeung Shum, Adam Kalai, Steven M. Seitz
1999	Misc	`conf`	On-line algorithms for combining language models. ICASSP Adam Kalai, Stanley F. Chen, Avrim Blum, Ronald Rosenfeld
1999	J	`jnl`	Universal Portfolios With and Without Transaction Costs. Mach. Learn. Avrim Blum, Adam Kalai
1998	J	`jnl`	A Note on Learning from Multiple-Instance Examples. Mach. Learn. Avrim Blum, Adam Kalai
1997	A*	`conf`	Universal Portfolios With and Without Transaction Costs. COLT Avrim Blum, Adam Kalai