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Learning Theory

5312 directly classified papers

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Papers

Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data JMLR 2024
Autoregressive Bandits AISTATS 2024
Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction JMLR 2024
Learning-Based Algorithms for Graph Searching Problems AISTATS 2024
Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs AISTATS 2024
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization JMLR 2024
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training JMLR 2024
MAP- and MLE-Based Teaching JMLR 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024
Generalization Bounds for Label Noise Stochastic Gradient Descent AISTATS 2024
Testing exchangeability by pairwise betting AISTATS 2024
Deep anytime-valid hypothesis testing AISTATS 2024
The sample complexity of ERMs in stochastic convex optimization AISTATS 2024
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion AISTATS 2024
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification JMLR 2024
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit ICLR 2024
Fat-Shattering Dimension of k-fold Aggregations JMLR 2024
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion? NAACL 2024
On the Model-Misspecification in Reinforcement Learning AISTATS 2024
On learning history-based policies for controlling Markov decision processes AISTATS 2024
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation CVPR 2024
Can Biases in ImageNet Models Explain Generalization? CVPR 2024
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection CVPR 2024
Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis AISTATS 2024
On the Scalability of Diffusion-based Text-to-Image Generation CVPR 2024