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Learning Theory

5,334 papers

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Papers

Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints IJCAI 2020
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge IJCAI 2020
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error IJCAI 2020
Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs IJCAI 2020
Learning From Multi-Dimensional Partial Labels IJCAI 2020
Multi-Feedback Bandit Learning with Probabilistic Contexts IJCAI 2020
Learning Model with Error -- Exposing the Hidden Model of BAYHENN IJCAI 2020
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning IJCAI 2020
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis IJCAI 2020
Efficient and Robust High-Dimensional Linear Contextual Bandits IJCAI 2020
Statistical Learning with a Nuisance Component (Extended Abstract) IJCAI 2020
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract) IJCAI 2020
Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract) IJCAI 2020
Online Learning in Changing Environments IJCAI 2020
Perception of English Fricatives and Affricates by Advanced Chinese Learners of English INTERSPEECH 2020
A Statistical Learning Approach to Modal Regression JMLR 2020
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning JMLR 2020
Connecting Spectral Clustering to Maximum Margins and Level Sets JMLR 2020
Lower Bounds for Testing Graphical Models: Colorings and Antiferromagnetic Ising Models JMLR 2020
Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes JMLR 2020
Memoryless Sequences for General Losses JMLR 2020
Distributed Kernel Ridge Regression with Communications JMLR 2020
Monte Carlo Gradient Estimation in Machine Learning JMLR 2020
Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality JMLR 2020
A determinantal point process for column subset selection JMLR 2020