Stochastic Methods

Unbiased and Efficient Sampling of Dependency Trees EMNLP 2022 Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise AISTATS 2022 Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022 When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint JMLR 2022 ZARTS: On Zero-order Optimization for Neural Architecture Search NeurIPS 2022 Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity NeurIPS 2022 Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization AISTATS 2022 Zeroth-Order Optimization for Composite Problems with Functional Constraints AAAI 2022 Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform ICCV 2021 Accelerating Metropolis-Hastings with Lightweight Inference Compilation AISTATS 2021 Accumulations of Projections—A Unified Framework for Random Sketches in Kernel Ridge Regression AISTATS 2021 ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization AAAI 2021 A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling AISTATS 2021 Active Learning for Distributionally Robust Level-Set Estimation ICML 2021 Active Slices for Sliced Stein Discrepancy ICML 2021 Adapting to function difficulty and growth conditions in private optimization NeurIPS 2021 Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities AAAI 2021 Adaptive Risk Sensitive Model Predictive Control with Stochastic Search L4DC 2021 Adversarial Robustness of Streaming Algorithms through Importance Sampling NeurIPS 2021 A Faster Decentralized Algorithm for Nonconvex Minimax Problems NeurIPS 2021 A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021 A Hybrid Approximation to the Marginal Likelihood AISTATS 2021 A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method AAAI 2021 A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization ICML 2021 Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball COLT 2021