Learning Theory
6,809 papers
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Papers
Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case
ICML 2021
Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap
COLT 2021
Fine-grained Generalization Analysis of Structured Output Prediction
IJCAI 2021
Fine-grained Generalization Analysis of Vector-Valued Learning
AAAI 2021
Finite Sample Analysis of Average-Reward TD Learning and Q-Learning
NeurIPS 2021
Finite-sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regime
JMLR 2021
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems
L4DC 2021
Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks
AAAI 2021
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations
NeurIPS 2021
For self-supervised learning, Rationality implies generalization, provably
ICLR 2021
Forster Decomposition and Learning Halfspaces with Noise
NeurIPS 2021
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms
NeurIPS 2021
From Local Pseudorandom Generators to Hardness of Learning
COLT 2021
Functions with average smoothness: structure, algorithms, and learning
COLT 2021
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions
AISTATS 2021
Gaussian Approximation for Bias Reduction in Q-Learning
JMLR 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis
NeurIPS 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
NeurIPS 2021
Generalization Bounds for Stochastic Saddle Point Problems
AISTATS 2021
Generalization Bounds for (Wasserstein) Robust Optimization
NeurIPS 2021
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
ICML 2021
Generalization bounds via distillation
ICLR 2021
Generalization error bounds for deep unfolding RNNs
UAI 2021
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime
NeurIPS 2021
Generalization Guarantee of SGD for Pairwise Learning
NeurIPS 2021