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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data NIPS 2023
Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel NIPS 2023
Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction NIPS 2023
Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC JMLR 2023
Buffered Asynchronous SGD for Byzantine Learning JMLR 2023
Special Properties of Gradient Descent with Large Learning Rates ICML 2023
Practical Differentially Private Hyperparameter Tuning with Subsampling NIPS 2023
Simplex Random Features ICML 2023
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation JMLR 2023
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models EMNLP 2023
Byzantine-Tolerant Methods for Distributed Variational Inequalities NIPS 2023
Learning-augmented count-min sketches via Bayesian nonparametrics JMLR 2023
EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only ACL 2023
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval JMLR 2023
InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation EMNLP 2023
Controllable Text Generation via Probability Density Estimation in the Latent Space ACL 2023
Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction NIPS 2023
Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule ICML 2023
Breaking the Lower Bound with (Little) Structure: Acceleration in Non-Convex Stochastic Optimization with Heavy-Tailed Noise COLT 2023
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality JMLR 2023
Multi-Fidelity Multi-Armed Bandits Revisited NIPS 2023
Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation AAAI 2023
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration AAAI 2023
Fast Heterogeneous Federated Learning with Hybrid Client Selection UAI 2023