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Stochastic Methods

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Papers

Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements ICCV 2021
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity ICML 2021
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry ICML 2021
Combinatorial Blocking Bandits with Stochastic Delays ICML 2021
Lenient Regret and Good-Action Identification in Gaussian Process Bandits ICML 2021
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization ICML 2021
Analysis of stochastic Lanczos quadrature for spectrum approximation ICML 2021
First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint ICML 2021
GBHT: Gradient Boosting Histogram Transform for Density Estimation ICML 2021
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing ICML 2021
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction ICML 2021
On Estimation in Latent Variable Models ICML 2021
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise ICML 2021
Lossless Compression of Efficient Private Local Randomizers ICML 2021
Reserve Price Optimization for First Price Auctions in Display Advertising ICML 2021
Bayesian Quadrature on Riemannian Data Manifolds ICML 2021
The Power of Adaptivity for Stochastic Submodular Cover ICML 2021
Active Slices for Sliced Stein Discrepancy ICML 2021
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach ICML 2021
Multiplicative Noise and Heavy Tails in Stochastic Optimization ICML 2021
Active Learning for Distributionally Robust Level-Set Estimation ICML 2021
Streaming and Distributed Algorithms for Robust Column Subset Selection ICML 2021
Kernel Stein Discrepancy Descent ICML 2021