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Stochastic Methods

1077 directly classified papers

Papers per year

Papers

Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards NIPS 2023
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach NIPS 2023
Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC JMLR 2023
Faster Relative Entropy Coding with Greedy Rejection Coding NIPS 2023
KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization UAI 2023
Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023
Simplex Random Features ICML 2023
PDPP:Projected Diffusion for Procedure Planning in Instructional Videos CVPR 2023
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent AISTATS 2023
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger NIPS 2023
Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity AISTATS 2023
Iterated Block Particle Filter for High-dimensional Parameter Learning: Beating the Curse of Dimensionality JMLR 2023
Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction NIPS 2023
InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation EMNLP 2023
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models EMNLP 2023
Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation EMNLP 2023
Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency EMNLP 2023
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation JMLR 2023
Practical Differentially Private Hyperparameter Tuning with Subsampling NIPS 2023
On Robustness of Finetuned Transformer-based NLP Models EMNLP 2023
Bandit Task Assignment with Unknown Processing Time NIPS 2023
Learning-augmented count-min sketches via Bayesian nonparametrics JMLR 2023
Structured Voronoi Sampling NIPS 2023
Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization NIPS 2023
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning ICML 2023