Scheinberg, Katya

12 publications

NeurIPSW 2023 Stochastic FISTA Step Search Algorithm for Convex Optimization Trang H. Tran, Lam M. Nguyen, Katya Scheinberg

ICML 2022 Nesterov Accelerated Shuffling Gradient Method for Convex Optimization Trang H Tran, Katya Scheinberg, Lam M Nguyen

NeurIPSW 2022 Stochastic Adaptive Regularization Method with Cubics: A High Probability Complexity Bound Katya Scheinberg, Miaolan Xie

NeurIPS 2021 High Probability Complexity Bounds for Line Search Based on Stochastic Oracles Billy Jin, Katya Scheinberg, Miaolan Xie

JMLR 2019 New Convergence Aspects of Stochastic Gradient Algorithms Lam M. Nguyen, Phuong Ha Nguyen, Peter Richtárik, Katya Scheinberg, Martin Takáč, Marten van Dijk

ICML 2018 SGD and Hogwild! Convergence Without the Bounded Gradients Assumption Lam Nguyen, Phuong Ha Nguyen, Marten Dijk, Peter Richtarik, Katya Scheinberg, Martin Takac

ICML 2017 SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient Lam M. Nguyen, Jie Liu, Katya Scheinberg, Martin Takáč

ECML-PKDD 2010 Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach Katya Scheinberg, Irina Rish

NeurIPS 2010 Sparse Inverse Covariance Selection via Alternating Linearization Methods Katya Scheinberg, Shiqian Ma, Donald Goldfarb

JMLR 2006 An Efficient Implementation of an Active Set Method for SVMs Katya Scheinberg

JMLR 2001 Efficient SVM Training Using Low-Rank Kernel Representations (Kernel Machines Section) Shai Fine, Katya Scheinberg

NeurIPS 2001 Incremental Learning and Selective Sampling via Parametric Optimization Framework for SVM Shai Fine, Katya Scheinberg