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Stochastic Methods

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Papers

Learning with Interactive Models over Decision-Dependent Distributions ACML 2022
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits AISTATS 2022
Policy Learning and Evaluation with Randomized Quasi-Monte Carlo AISTATS 2022
Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise AISTATS 2022
Spectral risk-based learning using unbounded losses AISTATS 2022
Grassmann Stein Variational Gradient Descent AISTATS 2022
Efficient Algorithms for Extreme Bandits AISTATS 2022
Rejection sampling from shape-constrained distributions in sublinear time AISTATS 2022
A Single-Timescale Method for Stochastic Bilevel Optimization AISTATS 2022
Randomized Stochastic Gradient Descent Ascent AISTATS 2022
State Dependent Performative Prediction with Stochastic Approximation AISTATS 2022
Many processors, little time: MCMC for partitions via optimal transport couplings AISTATS 2022
Deep Neyman-Scott Processes AISTATS 2022
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums AISTATS 2022
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization AISTATS 2022
How to Learn when Data Gradually Reacts to Your Model AISTATS 2022
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization AISTATS 2022
Lagrangian manifold Monte Carlo on Monge patches AISTATS 2022
Optimal Accounting of Differential Privacy via Characteristic Function AISTATS 2022
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe AISTATS 2022
Orbital MCMC AISTATS 2022
Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization AISTATS 2022
Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes AISTATS 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022