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Learning Theory

5,334 papers

Papers per year

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Papers

Harder or Different? Understanding Generalization of Audio Deepfake Detection INTERSPEECH 2024
Predefined Prototypes for Intra-Class Separation and Disentanglement INTERSPEECH 2024
Modeling probabilistic reduction across domains with Naive Discriminative Learning INTERSPEECH 2024
Target Speaker Extraction with Curriculum Learning INTERSPEECH 2024
Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction JMLR 2024
Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design JMLR 2024
On the Generalization of Stochastic Gradient Descent with Momentum JMLR 2024
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces JMLR 2024
Optimal Bump Functions for Shallow ReLU networks: Weight Decay, Depth Separation, Curse of Dimensionality JMLR 2024
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024
Multiple Descent in the Multiple Random Feature Model JMLR 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024
Learnability of Linear Port-Hamiltonian Systems JMLR 2024
Functional Directed Acyclic Graphs JMLR 2024
On the Learnability of Out-of-distribution Detection JMLR 2024
Overparametrized Multi-layer Neural Networks: Uniform Concentration of Neural Tangent Kernel and Convergence of Stochastic Gradient Descent JMLR 2024
MAP- and MLE-Based Teaching JMLR 2024
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization JMLR 2024
Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data JMLR 2024
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity JMLR 2024
Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits JMLR 2024
Functions with average smoothness: structure, algorithms, and learning JMLR 2024
Classification with Deep Neural Networks and Logistic Loss JMLR 2024
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks JMLR 2024
Fat-Shattering Dimension of k-fold Aggregations JMLR 2024