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Stochastic Methods

1,118 papers

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Papers

Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective AISTATS 2022
Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise AISTATS 2022
Primal-Dual Stochastic Mirror Descent for MDPs AISTATS 2022
Convex Analysis of the Mean Field Langevin Dynamics AISTATS 2022
Online Competitive Influence Maximization AISTATS 2022
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks AISTATS 2022
On the Last Iterate Convergence of Momentum Methods ALT 2022
Representing 3D Shapes With Probabilistic Directed Distance Fields CVPR 2022
Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel CVPR 2022
Truncation Sampling as Language Model Desmoothing EMNLP 2022
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD ICML 2022
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization ICML 2022
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk ICML 2022
Scaling Structured Inference with Randomization ICML 2022
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum ICML 2022
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes ICML 2022
Stochastic Reweighted Gradient Descent ICML 2022
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers ICML 2022
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits ICML 2022
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data ICML 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert ICML 2022
Least Squares Estimation using Sketched Data with Heteroskedastic Errors ICML 2022
C-MinHash: Improving Minwise Hashing with Circulant Permutation ICML 2022
LSB: Local Self-Balancing MCMC in Discrete Spaces ICML 2022