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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Theory
4,950 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
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints
ICML 2023
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
ICML 2023
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
ICML 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints
ICML 2023
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
ICML 2023
Theory on Forgetting and Generalization of Continual Learning
ICML 2023
Identifiability of Label Noise Transition Matrix
ICML 2023
What can online reinforcement learning with function approximation benefit from general coverage conditions?
ICML 2023
Mechanistic Mode Connectivity
ICML 2023
Can Neural Network Memorization Be Localized?
ICML 2023
A Kernel-Based View of Language Model Fine-Tuning
ICML 2023
Differential Privacy has Bounded Impact on Fairness in Classification
ICML 2023
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice
ICML 2023
$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates
ICML 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
ICML 2023
Analyzing Diffusion as Serial Reproduction
ICML 2023
Computational Asymmetries in Robust Classification
ICML 2023
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation
ICML 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks
ICML 2023
On the Convergence of Gradient Flow on Multi-layer Linear Models
ICML 2023
Optimal Sets and Solution Paths of ReLU Networks
ICML 2023
The Numerical Stability of Hyperbolic Representation Learning
ICML 2023
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel
ICML 2023
WL meet VC
ICML 2023
Neural signature kernels as infinite-width-depth-limits of controlled ResNets
ICML 2023
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