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Theory

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Papers

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
On the Generalization Analysis of Adversarial Learning ICML 2022
The Importance of Non-Markovianity in Maximum State Entropy Exploration ICML 2022
Stable Conformal Prediction Sets ICML 2022
Causal Conceptions of Fairness and their Consequences ICML 2022
Generalized Leverage Scores: Geometric Interpretation and Applications ICML 2022
A Study on the Ramanujan Graph Property of Winning Lottery Tickets ICML 2022
A Theoretical Comparison of Graph Neural Network Extensions ICML 2022
Multi-scale Feature Learning Dynamics: Insights for Double Descent ICML 2022
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry ICML 2022
Hardness and Algorithms for Robust and Sparse Optimization ICML 2022
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows ICML 2022
The Teaching Dimension of Regularized Kernel Learners ICML 2022
Interventional Contrastive Learning with Meta Semantic Regularizer ICML 2022
Convergence of Uncertainty Sampling for Active Learning ICML 2022
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks ICML 2022
Universality of Winning Tickets: A Renormalization Group Perspective ICML 2022
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs ICML 2022
A Unified View on PAC-Bayes Bounds for Meta-Learning ICML 2022
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries ICML 2022
Graph-Coupled Oscillator Networks ICML 2022