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Stochastic Methods

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Papers

Gradient-Free Method for Heavily Constrained Nonconvex Optimization ICML 2022 Grassmann Stein Variational Gradient Descent AISTATS 2022 Hessian-Free High-Resolution Nesterov Acceleration For Sampling ICML 2022 High-probability bounds for robust stochastic Frank-Wolfe algorithm UAI 2022 High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails ICML 2022 How to Learn when Data Gradually Reacts to Your Model AISTATS 2022 Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning ICML 2022 Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data ICML 2022 Improving sign-random-projection via count sketch UAI 2022 Inconsistent Planning: When in Doubt, Toss a Coin! AAAI 2022 Insight into Voting Problem Complexity Using Randomized Classes IJCAI 2022 Interaction and Expressivity in Collective Decision-Making IJCAI 2022 Intrinsic Gradient Compression for Scalable and Efficient Federated Learning ACL 2022 Is Sortition Both Representative and Fair? NeurIPS 2022 Iterative Double Sketching for Faster Least-Squares Optimization ICML 2022 Joint Optimization of Sampling Rate Offsets Based on Entire Signal Relationship Among Distributed Microphones Interspeech 2022 Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots ICML 2022 Lagrangian manifold Monte Carlo on Monge patches AISTATS 2022 Langevin Monte Carlo for Contextual Bandits ICML 2022 Learning Bipartite Graphs: Heavy Tails and Multiple Components NeurIPS 2022 Learning Distributed Channel Access Policies for Networked Estimation: Data-driven Optimization in the Mean-field Regime L4DC 2022 Learning Linear Models Using Distributed Iterative Hessian Sketching L4DC 2022 Learning on the Edge: Online Learning with Stochastic Feedback Graphs NeurIPS 2022 Learning with Interactive Models over Decision-Dependent Distributions ACML 2022 Least Squares Estimation using Sketched Data with Heteroskedastic Errors ICML 2022