Stochastic Methods

Faster Randomized Interior Point Methods for Tall/Wide Linear Programs JMLR 2022 Faster Rates of Private Stochastic Convex Optimization ALT 2022 Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NeurIPS 2022 Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe AISTATS 2022 Fast Graph Neural Tangent Kernel via Kronecker Sketching AAAI 2022 Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization NeurIPS 2022 Feature and Parameter Selection in Stochastic Linear Bandits ICML 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning CVPR 2022 FedPop: A Bayesian Approach for Personalised Federated Learning NeurIPS 2022 Fenrir: Physics-Enhanced Regression for Initial Value Problems ICML 2022 Field Study in Deploying Restless Multi-Armed Bandits: Assisting Non-profits in Improving Maternal and Child Health AAAI 2022 Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework AAAI 2022 Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications ICML 2022 First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces NeurIPS 2022 First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach ICML 2022 Fixation Maximization in the Positional Moran Process AAAI 2022 From Sampling to Optimization on Discrete Domains with Applications to Determinant Maximization COLT 2022 Fully Automatic Balance between Directivity Factor and White Noise Gain for Large-scale Microphone Arrays in Diffuse Noise Fields Interspeech 2022 Gaussian Process Parameter Estimation Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits JMLR 2022 Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization NeurIPS 2022 Generalized Bayesian quadrature with spectral kernels UAI 2022 Generalized Stochastic Matching AAAI 2022 Generalizing Gaussian Smoothing for Random Search ICML 2022 Global Convergence and Stability of Stochastic Gradient Descent NeurIPS 2022 GraB: Finding Provably Better Data Permutations than Random Reshuffling NeurIPS 2022