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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NIPS 2024
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning NIPS 2024
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics AISTATS 2024
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration NIPS 2024
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NIPS 2024
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NIPS 2024
Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions JMLR 2024
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling JMLR 2024
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NIPS 2024
On Unbiased Estimation for Partially Observed Diffusions JMLR 2024
SDEs for Minimax Optimization AISTATS 2024
Ordered Momentum for Asynchronous SGD NIPS 2024
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge AAAI 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces NIPS 2024
Pareto Smoothed Importance Sampling JMLR 2024
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures AAAI 2024
Where is the signal in tokenization space? EMNLP 2024
On the Role of Server Momentum in Federated Learning AAAI 2024
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression AAAI 2024
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024
From Past to Future: Rethinking Eligibility Traces AAAI 2024
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NIPS 2024
On Inference Stability for Diffusion Models AAAI 2024
Discerning Temporal Difference Learning AAAI 2024
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals NIPS 2024