| 2026 | COLT | Partition Function Estimation under Bounded f-Divergence. | Adam Block, Abhishek Shetty |
| 2026 | COLT | Revisiting the (Sub)Optimality of Best-of-N for Inference-Time Alignment. | Ved Sriraman, Adam Block |
| 2025 | COLT | A Theory of Learning with Autoregressive Chain of Thought. | Nirmit Joshi, Gal Vardi, Adam Block, Surbhi Goel, Zhiyuan Li, Theodor Misiakiewicz, Nathan Srebro |
| 2025 | COLT | Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier: Autoregressive and Imitation Learning under Misspecification (extended abstract). | Dhruv Rohatgi, Adam Block, Audrey Huang, Akshay Krishnamurthy, Dylan J. Foster |
| 2025 | ICLR | Self-Improvement in Language Models: The Sharpening Mechanism. | Audrey Huang, Adam Block, Dylan J. Foster, Dhruv Rohatgi, Cyril Zhang, Max Simchowitz, Jordan T. Ash, Akshay Krishnamurthy |
| 2025 | ICML | GaussMark: A Practical Approach for Structural Watermarking of Language Models. | Adam Block, Alexander Rakhlin, Ayush Sekhari |
| 2025 | ICML | Is Best-of-N the Best of Them? Coverage, Scaling, and Optimality in Inference-Time Alignment. | Audrey Huang, Adam Block, Qinghua Liu, Nan Jiang, Akshay Krishnamurthy, Dylan J. Foster |
| 2024 | COLT | On the Performance of Empirical Risk Minimization with Smoothed Data. | Adam Block, Alexander Rakhlin, Abhishek Shetty |
| 2024 | ICLR | Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression. | Adam Block, Dylan J. Foster, Akshay Krishnamurthy, Max Simchowitz, Cyril Zhang |
| 2023 | COLT | The Sample Complexity of Approximate Rejection Sampling With Applications to Smoothed Online Learning. | Adam Block, Yury Polyanskiy |
| 2023 | COLT | Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making. | Adam Block, Max Simchowitz, Alexander Rakhlin |
| 2022 | COLT | Smoothed Online Learning is as Easy as Statistical Learning. | Adam Block, Yuval Dagan, Noah Golowich, Alexander Rakhlin |
| 2022 | SIGIR | Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion. | Adam Block, Rahul Kidambi, Daniel N. Hill, Thorsten Joachims, Inderjit S. Dhillon |
| 2021 | COLT | Majorizing Measures, Sequential Complexities, and Online Learning. | Adam Block, Yuval Dagan, Alexander Rakhlin |