← Optimization
Mathematics & Optimization › Optimization ›

Stochastic Methods

2788 directly classified papers

Papers per year

Papers

Scaling Laws in Linear Regression: Compute, Parameters, and Data NIPS 2024
Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo COLT 2024
Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization COLT 2024
Convergence of Kinetic Langevin Monte Carlo on Lie groups COLT 2024
Detection of $L_∞$ Geometry in Random Geometric Graphs: Suboptimality of Triangles and Cluster Expansion COLT 2024
Leveraging partial stragglers within gradient coding NIPS 2024
Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo (Extended Abstract) COLT 2024
Jolteon: Unleashing the Promise of Serverless for Serverless Workflows NSDI 2024
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NIPS 2024
Fast parallel sampling under isoperimetry COLT 2024
Sampling Polytopes with Riemannian HMC: Faster Mixing via the Lewis Weights Barrier COLT 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024
Parametric model reduction of mean-field and stochastic systems via higher-order action matching NIPS 2024
Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference L4DC 2024
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search AAAI 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NIPS 2024
Contextual Pandora’s Box AAAI 2024
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NIPS 2024
(ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits COLT 2024
On Divergence Measures for Training GFlowNets NIPS 2024
Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling COLT 2024
Universal Exact Compression of Differentially Private Mechanisms NIPS 2024
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions JMLR 2024
Time-Constrained Robust MDPs NIPS 2024
Data subsampling for Poisson regression with pth-root-link NIPS 2024