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Mathematics

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Publication

Towards a Theory of Non-Log-Concave Sampling: First-Order Stationarity Guarantees for Langevin Monte Carlo

Krishnakumar Balasubramanian, Sinho Chewi, Murat A. Erdogdu, Adil Salim, Matthew Zhang

COLT 2022 | May 2022

Publication

Perturbations and the future conformal boundary

Anthony Lasenby, Will Handley , Deaglan Bartlett, Carina Negreanu

Physics Review D | April 2022, Vol 105(8)

Publication

Perturbations and the future conformal boundary

Anthony Lasenby, William Handley, Deaglan Bartlett, Carina Negreanu

Physics Review D | April 2022, Vol 105(8)

Publication

Beyond Notations: Hygienic Macro Expansion for Theorem Proving Languages

Sebastian Ullrich, Leonardo de Moura

2022 International Joint Conference on Automated Reasoning | April 2022

Publication

On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging

Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan

2022 International Conference on Artificial Intelligence and Statistics | March 2022

Publication

Private Convex Optimization via Exponential Mechanism

Sivakanth Gopi, Yin Tat Lee, Daogao Liu

COLT 2022 | March 2022

Publication

Sample Optimality and All-for-all Strategies in Personalized Federated and Collaborative Learning

Mathieu Even, Laurent Massoulie, Kevin Scaman

2022 Neural Information Processing Systems | February 2022

Publication

An iterative security game for computing robust and adaptive network flows

Supriyo GHOSH, Patrick Jaillet

Computers & Operations Research Journal (CAOR) | February 2022, Vol 138: pp. 105558

Project

Machine Learning Theory

Our work in machine learning theory ranges from modeling to mathematical analysis of algorithms to experimental probing. The diverse set of topics include clustering, optimization, unsupervised learning, algebraic methods, fairness, causality, and deep learning.

Publication

On the Approximation Properties of Recurrent Encoder-Decoder Architectures

Zhong Li, Haotian Jiang, Qianxiao Li

2022 International Conference on Learning Representations | January 2022

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