( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization.

, , , , , , и . NeurIPS, стр. 29101-29115. (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Ian Jason

Jason Miskuly

Jason Crook

Jason Tam

Jason Pazis

 

Другие публикации лиц с тем же именем

Proximal Newton-type Methods for Minimizing Convex Objective Functions in Composite Form, , и . CoRR, (2012)Gradient Descent Finds Global Minima of Deep Neural Networks., , , , и . CoRR, (2018)Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence., , , , , и . CoRR, (2021)Learning Hierarchical Polynomials with Three-Layer Neural Networks., , и . CoRR, (2023)Few-Shot Learning via Learning the Representation, Provably., , , , и . CoRR, (2020)Towards Understanding Hierarchical Learning: Benefits of Neural Representations., , , , , , и . NeurIPS, (2020)Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot., , , , , , и . NeurIPS, (2020)Agnostic $Q$-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity., , , и . NeurIPS, (2020)Offline Reinforcement Learning with Realizability and Single-policy Concentrability., , , , и . COLT, том 178 из Proceedings of Machine Learning Research, стр. 2730-2775. PMLR, (2022)Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems., , , , и . NeurIPS, (2022)