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← Optimization & Theory
Machine Learning
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Optimization & Theory
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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
Instance-Dependent Generalization Bounds via Optimal Transport
JMLR 2023
Limitations on approximation by deep and shallow neural networks
JMLR 2023
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
JMLR 2023
Optimal Approximation Rates for Deep ReLU Neural Networks on Sobolev and Besov Spaces
JMLR 2023
A Unified Theory of Diversity in Ensemble Learning
JMLR 2023
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds
JMLR 2023
Sample Complexity Bound for Evaluating the Robust Observer’s Performance under Coprime Factors Uncertainty
L4DC 2023
Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking
L4DC 2023
Adaptive Regret for Control of Time-Varying Dynamics
L4DC 2023
Regret Guarantees for Online Deep Control
L4DC 2023
Reproducibility of Training Deep Learning Models for Medical Image Analysis
MIDL 2023
CHSEL: Producing Diverse Plausible Pose Estimates from Contact and Free Space Data
RSS 2023
Bandit Submodular Maximization for Multi-Robot Coordination in Unpredictable and Partially Observable Environments
RSS 2023
Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data
UAI 2023
Best arm identification in rare events
UAI 2023
Learning in online MDPs: is there a price for handling the communicating case?
UAI 2023
Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis.
UAI 2023
No-Regret Linear Bandits beyond Realizability
UAI 2023
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification
UAI 2023
Learning good interventions in causal graphs via covering
UAI 2023
Mnemonist: Locating Model Parameters that Memorize Training Examples
UAI 2023
Efficiently learning the graph for semi-supervised learning
UAI 2023
On the limitations of Markovian rewards to express multi-objective, risk-sensitive, and modal tasks
UAI 2023
On the Role of Generalization in Transferability of Adversarial Examples
UAI 2023
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension
UAI 2023
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