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Theory

4,950 papers

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Papers

Learning (Very) Simple Generative Models Is Hard NIPS 2022
A Regret-Variance Trade-Off in Online Learning NIPS 2022
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis NIPS 2022
On the Complexity of Adversarial Decision Making NIPS 2022
A time-resolved theory of information encoding in recurrent neural networks NIPS 2022
Recursive Reinforcement Learning NIPS 2022
The Pitfalls of Regularization in Off-Policy TD Learning NIPS 2022
Robustness to Label Noise Depends on the Shape of the Noise Distribution NIPS 2022
Fast Neural Kernel Embeddings for General Activations NIPS 2022
Sub-exponential time Sum-of-Squares lower bounds for Principal Components Analysis NIPS 2022
Score-Based Generative Models Detect Manifolds NIPS 2022
Reinforcement Learning with Logarithmic Regret and Policy Switches NIPS 2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) NIPS 2022
Detection and Localization of Changes in Conditional Distributions NIPS 2022
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? NIPS 2022
Interpolation and Regularization for Causal Learning NIPS 2022
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation? NIPS 2022
Transformers from an Optimization Perspective NIPS 2022
On Margin Maximization in Linear and ReLU Networks NIPS 2022
On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation NIPS 2022
The Implicit Delta Method NIPS 2022
Annihilation of Spurious Minima in Two-Layer ReLU Networks NIPS 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods NIPS 2022
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis NIPS 2022
Neural Conservation Laws: A Divergence-Free Perspective NIPS 2022