← Optimization
Mathematics & Optimization › Optimization ›

Stochastic Methods

2788 directly classified papers

Papers per year

Papers

Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NIPS 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NIPS 2024
Global Rewards in Restless Multi-Armed Bandits NIPS 2024
Distributionally Robust Performative Prediction NIPS 2024
On Differentially Private U Statistics NIPS 2024
Quadratic Quantum Variational Monte Carlo NIPS 2024
Memory-Efficient LLM Training with Online Subspace Descent NIPS 2024
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024
An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024
Non-geodesically-convex optimization in the Wasserstein space NIPS 2024
Interaction-Force Transport Gradient Flows NIPS 2024
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NIPS 2024
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NIPS 2024
Oja's Algorithm for Streaming Sparse PCA NIPS 2024
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024
SPO: Sequential Monte Carlo Policy Optimisation NIPS 2024
Improved Regret for Bandit Convex Optimization with Delayed Feedback NIPS 2024
Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity NIPS 2024
Dissimilarity Bandits AISTATS 2024
Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets AISTATS 2024
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024
Budget Feasible Mechanisms: A Survey IJCAI 2024
Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions JMLR 2024