← Optimization & Theory
Machine Learning › Optimization & Theory ›

Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency EMNLP 2023
Toward Large Kernel Models ICML 2023
Stochastic Approximation Algorithms for Systems of Interacting Particles NIPS 2023
On Robustness of Finetuned Transformer-based NLP Models EMNLP 2023
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning ICML 2023
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function ICML 2023
A Model-Based Method for Minimizing CVaR and Beyond ICML 2023
Multi-Fidelity Multi-Armed Bandits Revisited NIPS 2023
Structured Voronoi Sampling NIPS 2023
Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data ICML 2023
Byzantine-Tolerant Methods for Distributed Variational Inequalities NIPS 2023
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach NIPS 2023
Buffered Asynchronous SGD for Byzantine Learning JMLR 2023
Controllable Text Generation via Probability Density Estimation in the Latent Space ACL 2023
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference ICML 2023
Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction NIPS 2023
Practical Differentially Private Hyperparameter Tuning with Subsampling NIPS 2023
Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination NIPS 2023
A Guide Through the Zoo of Biased SGD NIPS 2023
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities NIPS 2022
Communication Efficient Federated Learning for Generalized Linear Bandits NIPS 2022
SGD with Coordinate Sampling: Theory and Practice JMLR 2022
Fourier Learning with Cyclical Data ICML 2022
Constrained Langevin Algorithms with L-mixing External Random Variables NIPS 2022
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising NIPS 2022