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Stochastic Methods

2788 directly classified papers

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Papers

A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NIPS 2023
Auditing Fairness by Betting NIPS 2023
Contextual Gaussian Process Bandits with Neural Networks NIPS 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations NIPS 2023
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance ICML 2023
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback NIPS 2022
FedPop: A Bayesian Approach for Personalised Federated Learning NIPS 2022
Faster Randomized Interior Point Methods for Tall/Wide Linear Programs JMLR 2022
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling JMLR 2022
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff AISTATS 2022
An Efficient Sampling Algorithm for Non-smooth Composite Potentials JMLR 2022
Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size AISTATS 2022
Adaptive Random Walk Gradient Descent for Decentralized Optimization ICML 2022
On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022
Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022
Efficient computation of the the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes AISTATS 2022
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint JMLR 2022
Multi-Agent Multi-Armed Bandits with Limited Communication JMLR 2022
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging AISTATS 2022
Three rates of convergence or separation via U-statistics in a dependent framework JMLR 2022
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms JMLR 2022
Optimal estimation of Gaussian DAG models AISTATS 2022
Online Nonnegative CP-dictionary Learning for Markovian Data JMLR 2022
Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems JMLR 2022