Learning Theory
6,809 papers
Papers per year
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Papers
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
AAAI 2021
The Inductive Bias of Quantum Kernels
NeurIPS 2021
The inductive bias of ReLU networks on orthogonally separable data
ICLR 2021
The Intrinsic Dimension of Images and Its Impact on Learning
ICLR 2021
The Limitations of Limited Context for Constituency Parsing
ACL 2021
The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals in the SQ Model
COLT 2021
Theoretical bounds on estimation error for meta-learning
ICLR 2021
The Pareto Frontier of model selection for general Contextual Bandits
NeurIPS 2021
The Risks of Invariant Risk Minimization
ICLR 2021
The Sample Complexity of Level Set Approximation
AISTATS 2021
The Sample Complexity of Teaching by Reinforcement on Q-Learning
AAAI 2021
The Smoothed Complexity of Computing Kemeny and Slater Rankings
AAAI 2021
The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry
AISTATS 2021
The staircase property: How hierarchical structure can guide deep learning
NeurIPS 2021
The Teaching Dimension of Kernel Perceptron
AISTATS 2021
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning
ICML 2021
Tighter Expected Generalization Error Bounds via Wasserstein Distance
NeurIPS 2021
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms
UAI 2021
Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework
EMNLP 2021
Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries
AISTATS 2021
Toward Better Generalization Bounds with Locally Elastic Stability
ICML 2021
Towards a Dimension-Free Understanding of Adaptive Linear Control
COLT 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization
NeurIPS 2021
Towards a Unified Information-Theoretic Framework for Generalization
NeurIPS 2021
Towards Biologically Plausible Convolutional Networks
NeurIPS 2021