Adam Block

According to our database1, Adam Block authored at least 19 papers between 2020 and 2024.

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Bibliography

2024
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning.
CoRR, 2024

Oracle-Efficient Differentially Private Learning with Public Data.
CoRR, 2024

Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Performance of Empirical Risk Minimization with Smoothed Data.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Imitating Complex Trajectories: Bridging Low-Level Stability and High-Level Behavior.
CoRR, 2023

Efficient Model-Free Exploration in Low-Rank MDPs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Smoothed Online Learning for Prediction in Piecewise Affine Systems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

The Sample Complexity of Approximate Rejection Sampling With Applications to Smoothed Online Learning.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Intrinsic Dimension Estimation Using Wasserstein Distance.
J. Mach. Learn. Res., 2022

Rate of convergence of the smoothed empirical Wasserstein distance.
CoRR, 2022

Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Smoothed Online Learning is as Easy as Statistical Learning.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
Intrinsic Dimension Estimation.
CoRR, 2021

Majorizing Measures, Sequential Complexities, and Online Learning.
Proceedings of the Conference on Learning Theory, 2021

2020
Fast Mixing of Multi-Scale Langevin Dynamics under the Manifold Hypothesis.
CoRR, 2020

Generative Modeling with Denoising Auto-Encoders and Langevin Sampling.
CoRR, 2020


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