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Learning Theory

5312 directly classified papers

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Papers

Low Degree Hardness for Broadcasting on Trees NIPS 2024
Fat-Shattering Dimension of k-fold Aggregations JMLR 2024
Active learning of neural population dynamics using two-photon holographic optogenetics NIPS 2024
Functions with average smoothness: structure, algorithms, and learning JMLR 2024
Harder or Different? Understanding Generalization of Audio Deepfake Detection INTERSPEECH 2024
A distributional simplicity bias in the learning dynamics of transformers NIPS 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object CVPR 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective AISTATS 2024
Generalization Bounds for Label Noise Stochastic Gradient Descent AISTATS 2024
Least Squares Regression Can Exhibit Under-Parameterized Double Descent NIPS 2024
Sequence Length Independent Norm-Based Generalization Bounds for Transformers AISTATS 2024
Auditing Local Explanations is Hard NIPS 2024
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts AISTATS 2024
How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization? NIPS 2024
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias AISTATS 2024
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression NIPS 2024
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View NIPS 2024
On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective AISTATS 2024
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance JMLR 2024
Depth Degeneracy in Neural Networks: Vanishing Angles in Fully Connected ReLU Networks on Initialization JMLR 2024
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity JMLR 2024
How Two-Layer Neural Networks Learn, One (Giant) Step at a Time JMLR 2024
The Semantic Relations in LLMs: An Information-theoretic Compression Approach COLING 2024
ATG: Benchmarking Automated Theorem Generation for Generative Language Models NAACL 2024
Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases IJCAI 2024