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Stochastic Methods

2788 directly classified papers

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Papers

An Iterative Quantum Approach for Transformation Estimation From Point Sets CVPR 2022
Fast, Accurate and Memory-Efficient Partial Permutation Synchronization CVPR 2022
Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective NIPS 2022
Distributionally Robust Optimization via Ball Oracle Acceleration NIPS 2022
Learning with Interactive Models over Decision-Dependent Distributions ACML 2022
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning NIPS 2022
Trajectory Inference via Mean-field Langevin in Path Space NIPS 2022
Efficient learning of sparse and decomposable PDEs using random projection UAI 2022
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework AAAI 2022
Learning on the Edge: Online Learning with Stochastic Feedback Graphs NIPS 2022
Learning Distributed Channel Access Policies for Networked Estimation: Data-driven Optimization in the Mean-field Regime L4DC 2022
Sublinear Algorithms for Hierarchical Clustering NIPS 2022
Dynamic Learning in Large Matching Markets NIPS 2022
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants NIPS 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities NIPS 2022
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms NIPS 2022
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints NIPS 2022
Coordinate Linear Variance Reduction for Generalized Linear Programming NIPS 2022
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data NIPS 2022
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity NIPS 2021
Scalable Intervention Target Estimation in Linear Models NIPS 2021
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems NIPS 2021
Cardinality-Regularized Hawkes-Granger Model NIPS 2021
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders NIPS 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support NIPS 2021