Skip to content
conftrace_

Stochastic Methods

2,991 papers

1
2
23
84
299
198
2000
'5
'10
'15
'20
'25

Papers

Randomized Confidence Bounds for Stochastic Partial Monitoring ICML 2024 Random Smoothing Regularization in Kernel Gradient Descent Learning JMLR 2024 Rate-Optimal Policy Optimization for Linear Markov Decision Processes ICML 2024 Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference NeurIPS 2024 Revisiting Convergence of AdaGrad with Relaxed Assumptions UAI 2024 RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model AISTATS 2024 Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective AAAI 2024 Robust Reward Placement under Uncertainty IJCAI 2024 Robust variance-regularized risk minimization with concomitant scaling AISTATS 2024 Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations AAAI 2024 Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NeurIPS 2024 Sample-and-Bound for Non-convex Optimization AAAI 2024 Sampling Polytopes with Riemannian HMC: Faster Mixing via the Lewis Weights Barrier COLT 2024 Sampling Winners in Ranked Choice Voting IJCAI 2024 Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features ICML 2024 Scalable DBSCAN with Random Projections NeurIPS 2024 Scalable DP-SGD: Shuffling vs. Poisson Subsampling NeurIPS 2024 Scaling Laws in Linear Regression: Compute, Parameters, and Data NeurIPS 2024 Seed Selection in the Heterogeneous Moran Process IJCAI 2024 Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract) IJCAI 2024 Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation ICML 2024 Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024 ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing OSDI 2024 Sharp analysis of power iteration for tensor PCA JMLR 2024 Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NeurIPS 2024