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Theory

4,950 papers

Papers per year

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