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Learning Theory

5,312 papers

Papers per year

Papers

On the Hardness of Robust Classification JMLR 2021
Gaussian Approximation for Bias Reduction in Q-Learning JMLR 2021
Fast Learning for Renewal Optimization in Online Task Scheduling JMLR 2021
Linear Bandits on Uniformly Convex Sets JMLR 2021
A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines JMLR 2021
Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance L4DC 2021
Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples L4DC 2021
Suboptimal coverings for continuous spaces of control tasks L4DC 2021
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems L4DC 2021
Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems L4DC 2021
Training deep residual networks for uniform approximation guarantees L4DC 2021
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning L4DC 2021
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021
Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays MIDL 2021
An Empirical Comparison of Instance Attribution Methods for NLP NAACL 2021
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering NAACL 2021
Domain Divergences: A Survey and Empirical Analysis NAACL 2021
Learning to Learn to be Right for the Right Reasons NAACL 2021
Limitations of Autoregressive Models and Their Alternatives NAACL 2021
Task similarity aware meta learning: theory-inspired improvement on MAML UAI 2021
The curious case of adversarially robust models: More data can help, double descend, or hurt generalization UAI 2021
Robust reinforcement learning under minimax regret for green security UAI 2021
Lifted reasoning meets weighted model integration UAI 2021
Learnable uncertainty under Laplace approximations UAI 2021
Improved generalization bounds of group invariant / equivariant deep networks via quotient feature spaces UAI 2021