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Learning Theory

5,334 papers

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Papers

Improved Robust Algorithms for Learning with Discriminative Feature Feedback AISTATS 2023
Testing of Horn Samplers AISTATS 2023
Vector Optimization with Stochastic Bandit Feedback AISTATS 2023
Nonparametric Indirect Active Learning AISTATS 2023
Agnostic PAC Learning of $k$-juntas Using $L_2$-Polynomial Regression AISTATS 2023
An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge AISTATS 2023
Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits AISTATS 2023
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution AISTATS 2023
A Finite Sample Complexity Bound for Distributionally Robust Q-learning AISTATS 2023
On the bias of K-fold cross validation with stable learners AISTATS 2023
Sample Efficiency of Data Augmentation Consistency Regularization AISTATS 2023
ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits AISTATS 2023
Provably Efficient Reinforcement Learning via Surprise Bound AISTATS 2023
Active Learning for Single Neuron Models with Lipschitz Non-Linearities AISTATS 2023
Exploration in Reward Machines with Low Regret AISTATS 2023
Learning While Scheduling in Multi-Server Systems With Unknown Statistics: MaxWeight with Discounted UCB AISTATS 2023
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits AISTATS 2023
Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles AISTATS 2023
Bounding Evidence and Estimating Log-Likelihood in VAE AISTATS 2023
A Tighter Problem-Dependent Regret Bound for Risk-Sensitive Reinforcement Learning AISTATS 2023
Is interpolation benign for random forest regression? AISTATS 2023
Risk Bounds on Aleatoric Uncertainty Recovery AISTATS 2023
Optimism and Delays in Episodic Reinforcement Learning AISTATS 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion AISTATS 2023
Revisiting Fair-PAC Learning and the Axioms of Cardinal Welfare AISTATS 2023