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Adam Block
Adam Block
Columbia University
Dirección de correo verificada de columbia.edu - Página principal
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Año
Generative modeling with denoising auto-encoders and langevin sampling
A Block, Y Mroueh, A Rakhlin
arXiv preprint arXiv:2002.00107, 2020
972020
Smoothed online learning is as easy as statistical learning
A Block, Y Dagan, N Golowich, A Rakhlin
Conference on Learning Theory, 1716-1786, 2022
532022
Intrinsic dimension estimation using wasserstein distance
A Block, Z Jia, Y Polyanskiy, A Rakhlin
Journal of Machine Learning Research 23 (313), 1-37, 2022
26*2022
Provable guarantees for generative behavior cloning: Bridging low-level stability and high-level behavior
A Block, A Jadbabaie, D Pfrommer, M Simchowitz, R Tedrake
Advances in Neural Information Processing Systems 36, 48534-48547, 2023
222023
Efficient model-free exploration in low-rank mdps
Z Mhammedi, A Block, DJ Foster, A Rakhlin
Advances in Neural Information Processing Systems 36, 66782-66817, 2023
222023
Majorizing measures, sequential complexities, and online learning
A Block, Y Dagan, A Rakhlin
Conference on Learning Theory, 587-590, 2021
182021
Fast mixing of multi-scale langevin dynamics under the manifold hypothesis
A Block, Y Mroueh, A Rakhlin, J Ross
arXiv preprint arXiv:2006.11166, 2020
182020
Smoothed online learning for prediction in piecewise affine systems
A Block, M Simchowitz, R Tedrake
Advances in Neural Information Processing Systems 36, 41663-41674, 2023
122023
The sample complexity of approximate rejection sampling with applications to smoothed online learning
A Block, Y Polyanskiy
The Thirty Sixth Annual Conference on Learning Theory, 228-273, 2023
122023
Is behavior cloning all you need? understanding horizon in imitation learning
DJ Foster, A Block, D Misra
arXiv preprint arXiv:2407.15007, 2024
112024
Efficient and near-optimal smoothed online learning for generalized linear functions
A Block, M Simchowitz
Advances in neural information processing systems 35, 7477-7489, 2022
112022
Butterfly effects of sgd noise: Error amplification in behavior cloning and autoregression
A Block, DJ Foster, A Krishnamurthy, M Simchowitz, C Zhang
arXiv preprint arXiv:2310.11428, 2023
92023
Oracle-efficient smoothed online learning for piecewise continuous decision making
A Block, M Simchowitz, A Rakhlin
The Thirty Sixth Annual Conference on Learning Theory, 1618-1665, 2023
72023
On the performance of empirical risk minimization with smoothed data
A Block, A Rakhlin, A Shetty
The Thirty Seventh Annual Conference on Learning Theory, 596-629, 2024
62024
Counterfactual learning to rank for utility-maximizing query autocompletion
A Block, R Kidambi, DN Hill, T Joachims, IS Dhillon
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
62022
Oracle-efficient differentially private learning with public data
A Block, M Bun, R Desai, A Shetty, SZ Wu
Advances in Neural Information Processing Systems 37, 113191-113233, 2024
52024
Rate of convergence of the smoothed empirical Wasserstein distance
A Block, Z Jia, Y Polyanskiy, A Rakhlin
arXiv preprint arXiv:2205.02128, 2022
52022
Self-Improvement in Language Models: The Sharpening Mechanism
A Huang, A Block, DJ Foster, D Rohatgi, C Zhang, M Simchowitz, JT Ash, ...
arXiv preprint arXiv:2412.01951, 2024
42024
Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier: Autoregressive and Imitation Learning under Misspecification
D Rohatgi, A Block, A Huang, A Krishnamurthy, DJ Foster
arXiv preprint arXiv:2502.12465, 2025
12025
Representation Theory of the Symmetric Group: The Verhsik-Okounkov Approach
AB Block, R Van Peski
12018
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Artículos 1–20