Learning Theory
6,809 papers
Papers per year
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Papers
The Trade-offs of Domain Adaptation for Neural Language Models
ACL 2022
The Two Dimensions of Worst-Case Training and Their Integrated Effect for Out-of-Domain Generalization
CVPR 2022
The Uncanny Similarity of Recurrence and Depth
ICLR 2022
Tight bounds for minimum ℓ_1-norm interpolation of noisy data
AISTATS 2022
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
NeurIPS 2022
Tight query complexity bounds for learning graph partitions
COLT 2022
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints
NeurIPS 2022
Top K Ranking for Multi-Armed Bandit with Noisy Evaluations
AISTATS 2022
Toward learning human-aligned cross-domain robust models by countering misaligned features
UAI 2022
Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise
AISTATS 2022
Towards Bridging Sample Complexity and Model Capacity
AAAI 2022
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality
ICLR 2022
Towards General Function Approximation in Zero-Sum Markov Games
ICLR 2022
Towards IID representation learning and its application on biomedical data
MIDL 2022
Towards painless policy optimization for constrained MDPs
UAI 2022
Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent
AISTATS 2022
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
ICML 2022
Towards Understanding Generalization via Decomposing Excess Risk Dynamics
ICLR 2022
Towards Understanding Grokking: An Effective Theory of Representation Learning
NeurIPS 2022
Towards understanding how momentum improves generalization in deep learning
ICML 2022
Towards Understanding Sharpness-Aware Minimization
ICML 2022
Towards Understanding the Condensation of Neural Networks at Initial Training
NeurIPS 2022
Towards Understanding the Mixture-of-Experts Layer in Deep Learning
NeurIPS 2022
Trading Off Resource Budgets For Improved Regret Bounds
NeurIPS 2022
Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
JMLR 2022