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Stochastic Methods

2788 directly classified papers

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Papers

Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020
The Kalai-Smorodinsky solution for many-objective Bayesian optimization JMLR 2020
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise JMLR 2020
A determinantal point process for column subset selection JMLR 2020
Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms JMLR 2020
Spectral bandits JMLR 2020
Estimating Reachable Sets with Scenario Optimization L4DC 2020
On Simulation and Trajectory Prediction with Gaussian Process Dynamics L4DC 2020
Sample Complexity of Kalman Filtering for Unknown Systems L4DC 2020
Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory L4DC 2020
Stochastic Gradient and Langevin Processes ICML 2020
Gaussian Sketching yields a J-L Lemma in RKHS AISTATS 2020
AdaGrad stepsizes: Sharp convergence over nonconvex landscapes JMLR 2020
The route to chaos in routing games: When is price of anarchy too optimistic? NIPS 2020
Projected Stein Variational Gradient Descent NIPS 2020
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance NIPS 2020
Stochastically Dominant Distributional Reinforcement Learning ICML 2020
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change ICML 2020
Covariance-adapting algorithm for semi-bandits with application to sparse outcomes COLT 2020
Scalable Nonparametric Factorization for High-Order Interaction Events AISTATS 2020
True Nonlinear Dynamics from Incomplete Networks AAAI 2020
Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability AAAI 2020
Probabilistic Inference for Predicate Constraint Satisfaction AAAI 2020
Cakewalk Sampling AAAI 2020