← Optimization
Mathematics & Optimization › Optimization ›

Stochastic Methods

2788 directly classified papers

Papers per year

Papers

Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints AISTATS 2024
Concentration Tail-Bound Analysis of Coevolutionary and Bandit Learning Algorithms IJCAI 2024
Decentralized Multi-Level Compositional Optimization Algorithms with Level-Independent Convergence Rate AISTATS 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NIPS 2024
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024
An Improved Algorithm for Learning Drifting Discrete Distributions AISTATS 2024
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models NIPS 2024
Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024
The sample complexity of ERMs in stochastic convex optimization AISTATS 2024
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NIPS 2024
Improved Evolutionary Algorithms for Submodular Maximization with Cost Constraints IJCAI 2024
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging AISTATS 2024
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024
Pure Exploration in Bandits with Linear Constraints AISTATS 2024
Dissimilarity Bandits AISTATS 2024
Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication AISTATS 2024
Exploration via linearly perturbed loss minimisation AISTATS 2024
Learning Fair Division from Bandit Feedback AISTATS 2024
Batched Energy-Entropy acquisition for Bayesian Optimization NIPS 2024
Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024
Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024
Memory-Efficient LLM Training with Online Subspace Descent NIPS 2024
Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust NIPS 2024
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression AISTATS 2024