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Learning Theory

5312 directly classified papers

Papers per year

Papers

Generalization Bounds for Noisy Iterative Algorithms Using Properties of Additive Noise Channels JMLR 2023
Leveraging Demonstrations to Improve Online Learning: Quality Matters ICML 2023
Efficient Algorithms for Regret Minimization in Billboard Advertisement (Student Abstract) AAAI 2023
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models ICML 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models EMNLP 2023
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation ICML 2023
Adjective Scale Probe: Can Language Models Encode Formal Semantics Information? AAAI 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths AAAI 2023
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023
Automata Cascades: Expressivity and Sample Complexity AAAI 2023
A Unified Theory of Diversity in Ensemble Learning JMLR 2023
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models JMLR 2023
Benign Overfitting of Constant-Stepsize SGD for Linear Regression JMLR 2023
Causal Bandits for Linear Structural Equation Models JMLR 2023
Graph Attention Retrospective JMLR 2023
Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023
PAC-learning for Strategic Classification JMLR 2023
Generalization error bounds for multiclass sparse linear classifiers JMLR 2023
Predictive Flows for Faster Ford-Fulkerson ICML 2023
Stability-Based Generalization Analysis for Mixtures of Pointwise and Pairwise Learning AAAI 2023
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023
Benign overfitting in ridge regression JMLR 2023
Deep linear networks can benignly overfit when shallow ones do JMLR 2023
The Implicit Bias of Benign Overfitting JMLR 2023