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Stochastic Methods

2,788 papers

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Papers

A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method AAAI 2021
Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition Structure Generation and Assignment AAAI 2021
Robust Finite-State Controllers for Uncertain POMDPs AAAI 2021
Robust Contextual Bandits via Bootstrapping AAAI 2021
Escaping Local Optima with Non-Elitist Evolutionary Algorithms AAAI 2021
Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives AAAI 2021
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security AAAI 2021
Sampling Partial Acyclic Orientations in Chordal Graphs by the Lovasz Local Lemma (Student Abstract) AAAI 2021
Determinantal Beam Search ACL 2021
Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction ACL 2021
The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization ACML 2021
Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types ACML 2021
Efficient Coreset Constructions via Sensitivity Sampling ACML 2021
Fast Rate Learning in Stochastic First Price Bidding ACML 2021
On Information Gain and Regret Bounds in Gaussian Process Bandits AISTATS 2021
Accelerating Metropolis-Hastings with Lightweight Inference Compilation AISTATS 2021
Contextual Blocking Bandits AISTATS 2021
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling AISTATS 2021
Tight Regret Bounds for Infinite-armed Linear Contextual Bandits AISTATS 2021
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions AISTATS 2021
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size AISTATS 2021
Differentially Private Analysis on Graph Streams AISTATS 2021
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes AISTATS 2021
Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship AISTATS 2021
Inference in Stochastic Epidemic Models via Multinomial Approximations AISTATS 2021