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Towards a Dimension-Free Understanding of Adaptive Linear Control


Mar 19, 2021
Juan C. Perdomo, Max Simchowitz, Alekh Agarwal, Peter Bartlett


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Near Optimal Policy Optimization via REPS


Mar 17, 2021
Aldo Pacchiano, Jonathan Lee, Peter Bartlett, Ofir Nachum

* 8 main pages, 37 total pages 

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Regret Bound Balancing and Elimination for Model Selection in Bandits and RL


Dec 24, 2020
Aldo Pacchiano, Christoph Dann, Claudio Gentile, Peter Bartlett

* 57 pages 

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Accelerated Message Passing for Entropy-Regularized MAP Inference


Jul 01, 2020
Jonathan N. Lee, Aldo Pacchiano, Peter Bartlett, Michael I. Jordan


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Stochastic Bandits with Linear Constraints


Jun 17, 2020
Aldo Pacchiano, Mohammad Ghavamzadeh, Peter Bartlett, Heinrich Jiang

* 9 pages 

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Dropout: Explicit Forms and Capacity Control


Mar 06, 2020
Raman Arora, Peter Bartlett, Poorya Mianjy, Nathan Srebro


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Is There an Analog of Nesterov Acceleration for MCMC?


Feb 04, 2019
Yi-An Ma, Niladri Chatterji, Xiang Cheng, Nicolas Flammarion, Peter Bartlett, Michael I. Jordan


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Rademacher Complexity for Adversarially Robust Generalization


Oct 29, 2018
Dong Yin, Kannan Ramchandran, Peter Bartlett


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Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning


Sep 14, 2018
Dong Yin, Yudong Chen, Kannan Ramchandran, Peter Bartlett


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Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates


Mar 05, 2018
Dong Yin, Yudong Chen, Kannan Ramchandran, Peter Bartlett


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Gradient Diversity: a Key Ingredient for Scalable Distributed Learning


Jan 07, 2018
Dong Yin, Ashwin Pananjady, Max Lam, Dimitris Papailiopoulos, Kannan Ramchandran, Peter Bartlett


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Spectrally-normalized margin bounds for neural networks


Dec 05, 2017
Peter Bartlett, Dylan J. Foster, Matus Telgarsky

* Comparison to arXiv v1: 1-norm in main bound refined to (2,1)-group-norm. Comparison to NIPS camera ready: typo fixes 

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Convergence of Langevin MCMC in KL-divergence


Nov 01, 2017
Xiang Cheng, Peter Bartlett


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Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families


May 19, 2013
Peter Bartlett, Peter Grunwald, Peter Harremoes, Fares Hedayati, Wojciech Kotlowski

* 23 pages 

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Advice-Efficient Prediction with Expert Advice


Apr 12, 2013
Yevgeny Seldin, Peter Bartlett, Koby Crammer


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Online and Batch Learning Algorithms for Data with Missing Features


Jun 16, 2011
Afshin Rostamizadeh, Alekh Agarwal, Peter Bartlett

* 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011) 

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Optimal Allocation Strategies for the Dark Pool Problem


Mar 11, 2010
Alekh Agarwal, Peter Bartlett, Max Dama


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