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Stochastic Methods

2,788 papers

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Papers

Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances AISTATS 2022
Nearly Optimal Algorithms for Level Set Estimation AISTATS 2022
Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches AISTATS 2022
Stochastic Extragradient: General Analysis and Improved Rates AISTATS 2022
Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence AISTATS 2022
A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints AISTATS 2022
Convergence of online k-means AISTATS 2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization AISTATS 2022
Optimal estimation of Gaussian DAG models AISTATS 2022
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging AISTATS 2022
Efficient computation of the the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes AISTATS 2022
Rapid Convergence of Informed Importance Tempering AISTATS 2022
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent AISTATS 2022
Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size AISTATS 2022
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff AISTATS 2022
Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks AISTATS 2022
The Mirror Langevin Algorithm Converges with Vanishing Bias ALT 2022
Asymptotic Degradation of Linear Regression Estimates with Strategic Data Sources ALT 2022
Faster Rates of Private Stochastic Convex Optimization ALT 2022
Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance COLT 2022
Stochastic Variance Reduction for Variational Inequality Methods COLT 2022
The query complexity of sampling from strongly log-concave distributions in one dimension COLT 2022
Optimal and instance-dependent guarantees for Markovian linear stochastic approximation COLT 2022
Towards a Theory of Non-Log-Concave Sampling:First-Order Stationarity Guarantees for Langevin Monte Carlo COLT 2022
On Almost Sure Convergence Rates of Stochastic Gradient Methods COLT 2022