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On the Theory of Reinforcement Learning with Once-per-Episode Feedback


Jun 07, 2021
Niladri S. Chatterji, Aldo Pacchiano, Peter L. Bartlett, Michael I. Jordan


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Preference learning along multiple criteria: A game-theoretic perspective


May 05, 2021
Kush Bhatia, Ashwin Pananjady, Peter L. Bartlett, Anca D. Dragan, Martin J. Wainwright

* 47 pages; published as a conference paper at NeurIPS 2020 

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Agnostic learning with unknown utilities


Apr 17, 2021
Kush Bhatia, Peter L. Bartlett, Anca D. Dragan, Jacob Steinhardt

* 30 pages; published as a conference paper at ITCS 2021 

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Infinite-Horizon Offline Reinforcement Learning with Linear Function Approximation: Curse of Dimensionality and Algorithm


Mar 17, 2021
Lin Chen, Bruno Scherrer, Peter L. Bartlett


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Deep learning: a statistical viewpoint


Mar 16, 2021
Peter L. Bartlett, Andrea Montanari, Alexander Rakhlin


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When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations?


Feb 09, 2021
Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett

* 97 pages 

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Optimal Mean Estimation without a Variance


Dec 08, 2020
Yeshwanth Cherapanamjeri, Nilesh Tripuraneni, Peter L. Bartlett, Michael I. Jordan

* Fixed typographical errors in Theorem 1.2, Lemmas 4.3 and C.8 

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When does gradient descent with logistic loss find interpolating two-layer networks?


Dec 04, 2020
Niladri S. Chatterji, Philip M. Long, Peter L. Bartlett

* 43 pages, 4 figures 

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Failures of model-dependent generalization bounds for least-norm interpolation


Oct 30, 2020
Peter L. Bartlett, Philip M. Long


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Optimal Robust Linear Regression in Nearly Linear Time


Jul 16, 2020
Yeshwanth Cherapanamjeri, Efe Aras, Nilesh Tripuraneni, Michael I. Jordan, Nicolas Flammarion, Peter L. Bartlett


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On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration


Apr 09, 2020
Wenlong Mou, Chris Junchi Li, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan


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Self-Distillation Amplifies Regularization in Hilbert Space


Feb 25, 2020
Hossein Mobahi, Mehrdad Farajtabar, Peter L. Bartlett


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On Thompson Sampling with Langevin Algorithms


Feb 23, 2020
Eric Mazumdar, Aldo Pacchiano, Yi-an Ma, Peter L. Bartlett, Michael I. Jordan


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Oracle lower bounds for stochastic gradient sampling algorithms


Feb 01, 2020
Niladri S. Chatterji, Peter L. Bartlett, Philip M. Long

* 21 pages 

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Sampling for Bayesian Mixture Models: MCMC with Polynomial-Time Mixing


Dec 11, 2019
Wenlong Mou, Nhat Ho, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan


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Hebbian Synaptic Modifications in Spiking Neurons that Learn


Nov 17, 2019
Peter L. Bartlett, Jonathan Baxter


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Learning Near-optimal Convex Combinations of Basis Models with Generalization Guarantees


Oct 09, 2019
Tan Nguyen, Nan Ye, Peter L. Bartlett


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An Efficient Sampling Algorithm for Non-smooth Composite Potentials


Oct 01, 2019
Wenlong Mou, Nicolas Flammarion, Martin J. Wainwright, Peter L. Bartlett


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High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm


Aug 28, 2019
Wenlong Mou, Yi-An Ma, Martin J. Wainwright, Peter L. Bartlett, Michael I. Jordan


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Bayesian Robustness: A Nonasymptotic Viewpoint


Jul 27, 2019
Kush Bhatia, Yi-An Ma, Anca D. Dragan, Peter L. Bartlett, Michael I. Jordan

* 30 pages, 5 figures 

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Improved Bounds for Discretization of Langevin Diffusions: Near-Optimal Rates without Convexity


Jul 25, 2019
Wenlong Mou, Nicolas Flammarion, Martin J. Wainwright, Peter L. Bartlett


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Quantitative $W_1$ Convergence of Langevin-Like Stochastic Processes with Non-Convex Potential State-Dependent Noise


Jul 13, 2019
Xiang Cheng, Dong Yin, Peter L. Bartlett, Michael I. Jordan


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Benign Overfitting in Linear Regression


Jun 26, 2019
Peter L. Bartlett, Philip M. Long, Gábor Lugosi, Alexander Tsigler


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OSOM: A Simultaneously Optimal Algorithm for Multi-Armed and Linear Contextual Bandits


Jun 11, 2019
Niladri S. Chatterji, Vidya Muthukumar, Peter L. Bartlett

* Updated acknowledgements 

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Langevin Monte Carlo without Smoothness


May 30, 2019
Niladri S. Chatterji, Jelena Diakonikolas, Michael I. Jordan, Peter L. Bartlett


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