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Stochastic Methods

2788 directly classified papers

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Papers

Lagrangian manifold Monte Carlo on Monge patches AISTATS 2022
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization AISTATS 2022
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums AISTATS 2022
Asymptotically-Optimal Gaussian Bandits with Side Observations ICML 2022
Deep Neyman-Scott Processes AISTATS 2022
Thresholded Lasso Bandit ICML 2022
SIXO: Smoothing Inference with Twisted Objectives NIPS 2022
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022
Many processors, little time: MCMC for partitions via optimal transport couplings AISTATS 2022
On Biased Stochastic Gradient Estimation JMLR 2022
A Single-Timescale Method for Stochastic Bilevel Optimization AISTATS 2022
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems NIPS 2022
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions NIPS 2022
Rejection sampling from shape-constrained distributions in sublinear time AISTATS 2022
Perfect Sampling from Pairwise Comparisons NIPS 2022
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function ICML 2022
Exact Optimal Accelerated Complexity for Fixed-Point Iterations ICML 2022
Robustness in Multi-Objective Submodular Optimization: a Quantile Approach ICML 2022
Grassmann Stein Variational Gradient Descent AISTATS 2022
Fast Algorithms for Packing Proportional Fairness and its Dual NIPS 2022
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization NIPS 2022
Constrained Langevin Algorithms with L-mixing External Random Variables NIPS 2022
Asymptotic Network Independence and Step-Size for a Distributed Subgradient Method JMLR 2022
Score-Based Diffusion meets Annealed Importance Sampling NIPS 2022
The Two-Sided Game of Googol JMLR 2022