Adam Tauman Kalai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
16
Active years
2005–2025
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | 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 |
| 2024 | STOC | Calibrated Language Models Must Hallucinate. | Adam Tauman Kalai, Santosh S. Vempala |
| 2023 | AIED | Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models. | Ethan Prihar, Morgan P. Lee, Mia Hopman, Adam Tauman Kalai, Sofia Vempala, Allison Wang, Gabriel Wickline, Aly Murray, Neil T. Heffernan |
| 2023 | ICLR | Language Models Can Teach Themselves to Program Better. | Patrick Haluptzok, Matthew Bowers, Adam Tauman Kalai |
| 2023 | ICML | Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies. | Gati V. Aher, Rosa I. Arriaga, Adam Tauman Kalai |
| 2021 | AISTATS | Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization. | Vikas K. Garg, Adam Tauman Kalai, Katrina Ligett, Zhiwei Steven Wu |
| 2021 | ALT | Efficient Learning with Arbitrary Covariate Shift. | Adam Tauman Kalai, Varun Kanade |
| 2020 | ITA | Identifying unpredictable test examples with worst-case guarantees. | Shafi Goldwasser, Adam Tauman Kalai, Yael Tauman Kalai, Omar Montasser |
| 2020 | IUI | HAI-GEN 2020: Workshop on Human-AI Co-Creation with Generative Models. | Werner Geyer, Lydia B. Chilton, Ranjitha Kumar, Adam Tauman Kalai |
| 2020 | IUI | HAI-GEN 2020 : Workshop on Human-AI Co-Creation with Generative Models. | Werner Geyer, Lydia B. Chilton, Ranjitha Kumar, Adam Tauman Kalai |
| 2019 | AIES | Algorithmic Greenlining: An Approach to Increase Diversity. | Christian Borgs, Jennifer T. Chayes, Nika Haghtalab, Adam Tauman Kalai, Ellen Vitercik |
| 2019 | AIES | What are the Biases in My Word Embedding? | Nathaniel Swinger, Maria De-Arteaga, Neil Thomas Heffernan IV, Mark D. M. Leiserson, Adam Tauman Kalai |
| 2019 | COLT | Learning to Prune: Speeding up Repeated Computations. | Daniel Alabi, Adam Tauman Kalai, Katrina Ligett, Cameron Musco, Christos Tzamos, Ellen Vitercik |
| 2018 | AAAI | Glass-Box Program Synthesis: A Machine Learning Approach. | Konstantina Christakopoulou, Adam Tauman Kalai |
| 2018 | COLT | Actively Avoiding Nonsense in Generative Models. | Steve Hanneke, Adam Tauman Kalai, Gautam Kamath, Christos Tzamos |
| 2018 | HCOMP | Usability of Humanly Computable Passwords. | Samira Samadi, Santosh S. Vempala, Adam Tauman Kalai |
| 2017 | AAAI | Learning to Suggest Phrases. | Kenneth Charles Arnold, Kai-Wei Chang, Adam Tauman Kalai |
| 2017 | UIST | Designing and Evaluating Livefonts. | Danielle Bragg, Shiri Azenkot, Kevin Larson, Ann Bessemans, Adam Tauman Kalai |
| 2016 | UIST | On Suggesting Phrases vs. Predicting Words for Mobile Text Composition. | Kenneth C. Arnold, Krzysztof Z. Gajos, Adam Tauman Kalai |
| 2016 | UIST | Reading and Learning Smartfonts. | Danielle Bragg, Shiri Azenkot, Adam Tauman Kalai |
| 2015 | HCOMP | Crowdsourcing Feature Discovery via Adaptively Chosen Comparisons. | James Y. Zou, Kamalika Chaudhuri, Adam Tauman Kalai |
| 2015 | IJCAI | Matching and Grokking: Approaches to Personalized Crowdsourcing. | Peter Organisciak, Jaime Teevan, Susan T. Dumais, Robert C. Miller, Adam Tauman Kalai |
| 2014 | HCOMP | A Crowd of Your Own: Crowdsourcing for On-Demand Personalization. | Peter Organisciak, Jaime Teevan, Susan T. Dumais, Robert C. Miller, Adam Tauman Kalai |
| 2013 | HCOMP | Personalized Human Computation. | Peter Organisciak, Jaime Teevan, Susan T. Dumais, Robert C. Miller, Adam Tauman Kalai |
| 2011 | STOC | Dueling algorithms. | Nicole Immorlica, Adam Tauman Kalai, Brendan Lucier, Ankur Moitra, Andrew Postlewaite, Moshe Tennenholtz |
| 2010 | STOC | Efficiently learning mixtures of two Gaussians. | Adam Tauman Kalai, Ankur Moitra, Gregory Valiant |
| 2009 | COLT | Reliable Agnostic Learning. | Adam Tauman Kalai, Varun Kanade, Yishay Mansour |
| 2009 | COLT | The Isotron Algorithm: High-Dimensional Isotonic Regression. | Adam Tauman Kalai, Ravi Sastry |
| 2009 | FOCS | Learning and Smoothed Analysis. | Adam Tauman Kalai, Alex Samorodnitsky, Shang-Hua Teng |
| 2008 | STOC | The myth of the folk theorem. | Christian Borgs, Jennifer T. Chayes, Nicole Immorlica, Adam Tauman Kalai, Vahab S. Mirrokni, Christos H. Papadimitriou |
| 2008 | STOC | Agnostically learning decision trees. | Parikshit Gopalan, Adam Tauman Kalai, Adam R. Klivans |
| 2008 | STOC | On agnostic boosting and parity learning. | Adam Tauman Kalai, Yishay Mansour, Elad Verbin |
| 2007 | COLT | Learning Nested Halfspaces and Uphill Decision Trees. | Adam Tauman Kalai |
| 2007 | STOC | Playing games with approximation algorithms. | Sham M. Kakade, Adam Tauman Kalai, Katrina Ligett |
| 2005 | COLT | Analysis of Perceptron-Based Active Learning. | Sanjoy Dasgupta, Adam Tauman Kalai, Claire Monteleoni |
| 2005 | FOCS | Agnostically Learning Halfspaces. | Adam Tauman Kalai, Adam R. Klivans, Yishay Mansour, Rocco A. Servedio |
| 2005 | SODA | Online convex optimization in the bandit setting: gradient descent without a gradient. | Abraham Flaxman, Adam Tauman Kalai, H. Brendan McMahan |