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Stochastic Methods

2,788 papers

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Papers

De-randomizing MCMC dynamics with the diffusion Stein operator NIPS 2021
Bandit Phase Retrieval NIPS 2021
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions NIPS 2021
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition NIPS 2021
Adapting to function difficulty and growth conditions in private optimization NIPS 2021
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity NIPS 2021
Optimal Underdamped Langevin MCMC Method NIPS 2021
Stochastic bandits with groups of similar arms. NIPS 2021
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization NIPS 2021
Graphical Models in Heavy-Tailed Markets NIPS 2021
Optimal Order Simple Regret for Gaussian Process Bandits NIPS 2021
Efficient and Local Parallel Random Walks NIPS 2021
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method NIPS 2021
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization NIPS 2021
On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond NIPS 2021
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization NIPS 2021
Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization NIPS 2021
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits NIPS 2021
Slice Sampling Reparameterization Gradients NIPS 2021
Optimal Sketching for Trace Estimation NIPS 2021
Fast and accurate randomized algorithms for low-rank tensor decompositions NIPS 2021
Locally differentially private estimation of functionals of discrete distributions NIPS 2021
Never Go Full Batch (in Stochastic Convex Optimization) NIPS 2021
Estimating High Order Gradients of the Data Distribution by Denoising NIPS 2021
On the Second-order Convergence Properties of Random Search Methods NIPS 2021