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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
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
ICML 2022
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning
ICML 2022
Efficient PAC Learning from the Crowd with Pairwise Comparisons
ICML 2022
PDE-Based Optimal Strategy for Unconstrained Online Learning
ICML 2022
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory
ICML 2022
Dynamic Regret of Online Markov Decision Processes
ICML 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
ICML 2022
Contextual Bandits with Large Action Spaces: Made Practical
ICML 2022
On the Convergence of Fictitious Play: A Decomposition Approach
IJCAI 2022
Plurality Veto: A Simple Voting Rule Achieving Optimal Metric Distortion
IJCAI 2022
Investigating and Explaining the Frequency Bias in Image Classification
IJCAI 2022
Domain Generalization through the Lens of Angular Invariance
IJCAI 2022
Best Heuristic Identification for Constraint Satisfaction
IJCAI 2022
Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach
IJCAI 2022
Frontiers and Exact Learning of ELI Queries under DL-Lite Ontologies
IJCAI 2022
Computing Concept Referring Expressions for Queries on Horn ALC Ontologies
IJCAI 2022
Learning Higher-Order Logic Programs From Failures
IJCAI 2022
Fixed-Budget Best-Arm Identification in Structured Bandits
IJCAI 2022
Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks
IJCAI 2022
Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks
IJCAI 2022
Exploring Binary Classification Hidden within Partial Label Learning
IJCAI 2022
On the Optimization of Margin Distribution
IJCAI 2022
Improved Pure Exploration in Linear Bandits with No-Regret Learning
IJCAI 2022
Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction
IJCAI 2022
Learnability of Competitive Threshold Models
IJCAI 2022
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