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Learning Theory

5312 directly classified papers

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Papers

Random Teachers are Good Teachers ICML 2023
Binary Classification with Confidence Difference NIPS 2023
Understanding Backdoor Attacks through the Adaptability Hypothesis ICML 2023
Private Distribution Learning with Public Data: The View from Sample Compression NIPS 2023
Time-Independent Information-Theoretic Generalization Bounds for SGLD NIPS 2023
Agnostically Learning Single-Index Models using Omnipredictors NIPS 2023
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time NIPS 2023
Smoothed Analysis of Sequential Probability Assignment NIPS 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration NIPS 2023
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation ICML 2023
A Meta-Learning Approach to Predicting Performance and Data Requirements CVPR 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023
Partial-Label Regression AAAI 2023
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023
Concentration analysis of multivariate elliptic diffusions JMLR 2023
Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption JMLR 2023
How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML 2023
How Fragile is Relation Extraction under Entity Replacements? EMNLP 2023
Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network ICML 2023
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions ICML 2023
How much does Initialization Affect Generalization? ICML 2023
Neural networks trained with SGD learn distributions of increasing complexity ICML 2023
Towards Understanding Generalization of Graph Neural Networks ICML 2023
Finding Generalization Measures by Contrasting Signal and Noise ICML 2023
Predictive Flows for Faster Ford-Fulkerson ICML 2023