Co-occurring keywords · papers mentioning both
Papers
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
NeurIPS 2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits
ICML 2023
Multi-User Reinforcement Learning with Low Rank Rewards
ICML 2023
Multivariate Soft Rank via Entropy-Regularized Optimal Transport: Sample Efficiency and Generative Modeling
JMLR 2023
Nearly Optimal Latent State Decoding in Block MDPs
AISTATS 2023
Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise
NeurIPS 2023
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
ICLR 2023
Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback
ICML 2023
New Bounds for Hyperparameter Tuning of Regression Problems Across Instances
NeurIPS 2023
Non-Asymptotic Analysis of a UCB-based Top Two Algorithm
NeurIPS 2023
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient
ICLR 2023
On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits
ALT 2023
Online Learning in Stackelberg Games with an Omniscient Follower
ICML 2023
Online RL in Linearly q^π-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
NeurIPS 2023
Online Stochastic Gradient Descent with Arbitrary Initialization Solves Non-smooth, Non-convex Phase Retrieval
JMLR 2023
On Single-Index Models beyond Gaussian Data
NeurIPS 2023
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
NeurIPS 2023
On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring
COLT 2023
On the Complexity of PAC Learning in Hilbert Spaces
AAAI 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration
NeurIPS 2023
On the Existence of a Complexity in Fixed Budget Bandit Identification
COLT 2023
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization
ICML 2023
On the Role of Attention in Prompt-tuning
ICML 2023
On the Role of Entanglement and Statistics in Learning
NeurIPS 2023
On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences
NeurIPS 2023