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Methodology
← Optimization & Theory
Machine Learning
›
Optimization & Theory
›
Theory
4950 directly classified papers
Papers per year
2000: 1
2001: 2
2002: 3
2003: 3
2004: 9
2005: 4
2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
2013: 76
2014: 66
2015: 72
2016: 102
2017: 156
2018: 246
2019: 353
2020: 447
2021: 567
2022: 646
2023: 741
2024: 670
2025: 426
2026: 128
Papers
On the Robustness of Text Vectorizers
ICML 2023
A Category-theoretical Meta-analysis of Definitions of Disentanglement
ICML 2023
Can Neural Network Memorization Be Localized?
ICML 2023
Settling the Reward Hypothesis
ICML 2023
Towards credible visual model interpretation with path attribution
ICML 2023
Adversarially Robust PAC Learnability of Real-Valued Functions
ICML 2023
Improved Algorithms for White-Box Adversarial Streams
ICML 2023
A Theoretical Analysis of the Learning Dynamics under Class Imbalance
ICML 2023
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
ICML 2023
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes
ICML 2023
Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing
ICML 2023
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
ICML 2023
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
ICML 2023
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits
ICML 2023
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation
ICML 2023
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
ICML 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints
ICML 2023
Theory on Forgetting and Generalization of Continual Learning
ICML 2023
Identifiability of Label Noise Transition Matrix
ICML 2023
Differential Privacy has Bounded Impact on Fairness in Classification
ICML 2023
$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
ICML 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
ICML 2023
The Ideal Continual Learner: An Agent That Never Forgets
ICML 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
ICML 2023
Equivariant Polynomials for Graph Neural Networks
ICML 2023
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