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Learning Theory

5,334 papers

Papers per year

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123
466
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Papers

Optimizing in the Dark: Learning an Optimal Solution through a Simple Request Interface AAAI 2019
Low-Distortion Social Welfare Functions AAAI 2019
Solving Imperfect-Information Games via Discounted Regret Minimization AAAI 2019
Randomized Wagering Mechanisms AAAI 2019
A PAC Framework for Aggregating Agents’ Judgments AAAI 2019
Certifying the True Error: Machine Learning in Coq with Verified Generalization Guarantees AAAI 2019
Weighted Abstract Dialectical Frameworks through the Lens of Approximation Fixpoint Theory AAAI 2019
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin AAAI 2019
Belief Change and Non-Monotonic Reasoning Sans Compactness AAAI 2019
An Exponential Tail Bound for the Deleted Estimate AAAI 2019
Using Benson’s Algorithm for Regularization Parameter Tracking AAAI 2019
Precision-Recall versus Accuracy and the Role of Large Data Sets AAAI 2019
Dimension-Free Error Bounds from Random Projections AAAI 2019
Unsupervised Domain Adaptation Based on Source-Guided Discrepancy AAAI 2019
Structural Causal Bandits with Non-Manipulable Variables AAAI 2019
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee AAAI 2019
Block Belief Propagation for Parameter Learning in Markov Random Fields AAAI 2019
Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees AAAI 2019
Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions AAAI 2019
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure AAAI 2019
Theoretical Analysis of Label Distribution Learning AAAI 2019
A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression AAAI 2019
Iterative Classroom Teaching AAAI 2019
Learning Set Functions with Limited Complementarity AAAI 2019
RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications AAAI 2019