Davis, Damek

10 publications

COLT 2025 Online Covariance Estimation in Nonsmooth Stochastic Approximation Liwei Jiang, Abhishek Roy, Krishnakumar Balasubramanian, Damek Davis, Dmitriy Drusvyatskiy, Sen Na

NeurIPS 2023 Aiming Towards the Minimizers: Fast Convergence of SGD for Overparametrized Problems Chaoyue Liu, Dmitriy Drusvyatskiy, Misha Belkin, Damek Davis, Yian Ma

NeurIPSW 2023 SGD Batch Saturation for Training Wide Neural Networks Chaoyue Liu, Dmitriy Drusvyatskiy, Mikhail Belkin, Damek Davis, Yian Ma

NeurIPS 2022 A Gradient Sampling Method with Complexity Guarantees for Lipschitz Functions in High and Low Dimensions Damek Davis, Dmitriy Drusvyatskiy, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye

JMLR 2021 From Low Probability to High Confidence in Stochastic Convex Optimization Damek Davis, Dmitriy Drusvyatskiy, Lin Xiao, Junyu Zhang

COLT 2020 High Probability Guarantees for Stochastic Convex Optimization Damek Davis, Dmitriy Drusvyatskiy

COLT 2019 Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression Jeongyeol Kwon, Wei Qian, Constantine Caramanis, Yudong Chen, Damek Davis

NeurIPS 2016 The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM Damek Davis, Brent Edmunds, Madeleine Udell

CVPR 2015 Multi-View Feature Engineering and Learning Jingming Dong, Nikolaos Karianakis, Damek Davis, Joshua Hernandez, Jonathan Balzer, Stefano Soatto

CVPR 2014 Asymmetric Sparse Kernel Approximations for Large-Scale Visual Search Damek Davis, Jonathan Balzer, Stefano Soatto