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Theory

4,950 papers

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Papers

Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning ICML 2022
Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes ICML 2022
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers ICML 2022
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL ICML 2022
Going Deeper into Permutation-Sensitive Graph Neural Networks ICML 2022
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention ICML 2022
On Measuring Causal Contributions via do-interventions ICML 2022
Robustness Implies Generalization via Data-Dependent Generalization Bounds ICML 2022
Certified Adversarial Robustness Under the Bounded Support Set ICML 2022
Implicit Bias of Linear Equivariant Networks ICML 2022
Entropic Gromov-Wasserstein between Gaussian Distributions ICML 2022
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks ICML 2022
CerDEQ: Certifiable Deep Equilibrium Model ICML 2022
Double Sampling Randomized Smoothing ICML 2022
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments ICML 2022
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint ICML 2022
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension ICML 2022
A Tighter Analysis of Spectral Clustering, and Beyond ICML 2022
Nested Bandits ICML 2022
A Dynamical System Perspective for Lipschitz Neural Networks ICML 2022
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models ICML 2022
Learning Stochastic Shortest Path with Linear Function Approximation ICML 2022
Invariant Ancestry Search ICML 2022
Power-Law Escape Rate of SGD ICML 2022
Bounding the Width of Neural Networks via Coupled Initialization A Worst Case Analysis ICML 2022