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← Optimization & Theory
Machine Learning
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Optimization & Theory
›
Learning Theory
5,312 papers
Papers per year
2001: 1
2002: 16
2003: 16
2004: 15
2005: 17
2006: 30
2007: 32
2008: 32
2009: 34
2010: 66
2011: 76
2012: 74
2013: 94
2014: 115
2015: 123
2016: 128
2017: 185
2018: 219
2019: 390
2020: 466
2021: 640
2022: 664
2023: 799
2024: 688
2025: 307
2026: 85
Papers
Random deep neural networks are biased towards simple functions
NIPS 2019
Counter-example Guided Learning of Bounds on Environment Behavior
CORL 2019
Bias Reduction via End-to-End Shift Learning: Application to Citizen Science
AAAI 2019
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
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