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Stochastic Methods

2,788 papers

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Papers

DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization ICML 2023
Action Matching: Learning Stochastic Dynamics from Samples ICML 2023
Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed! ICML 2023
Learning Hidden Markov Models When the Locations of Missing Observations are Unknown ICML 2023
Truncating Trajectories in Monte Carlo Reinforcement Learning ICML 2023
Gibbsian Polar Slice Sampling ICML 2023
Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning ICML 2023
Kernel QuantTree ICML 2023
Revisiting Sampling for Combinatorial Optimization ICML 2023
A Neural PDE Solver with Temporal Stencil Modeling ICML 2023
Optimal randomized multilevel Monte Carlo for repeatedly nested expectations ICML 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds ICML 2023
Concurrent Shuffle Differential Privacy Under Continual Observation ICML 2023
Delayed Feedback in Kernel Bandits ICML 2023
Best Arm Identification in Multi-Agent Multi-Armed Bandits ICML 2023
Nonparametric Extensions of Randomized Response for Private Confidence Sets ICML 2023
Fully-Adaptive Composition in Differential Privacy ICML 2023
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy ICML 2023
Delay-agnostic Asynchronous Coordinate Update Algorithm ICML 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation ICML 2023
A theory of representation learning gives a deep generalisation of kernel methods ICML 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games ICML 2023
Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver ICML 2023
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests ICML 2023
Revisiting Simple Regret: Fast Rates for Returning a Good Arm ICML 2023