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Theory

4,950 papers

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Papers

Kernel quadrature with DPPs NIPS 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs NIPS 2019
On Relating Explanations and Adversarial Examples NIPS 2019
Efficiently escaping saddle points on manifolds NIPS 2019
Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex NIPS 2019
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families NIPS 2019
Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods NIPS 2019
On the Hardness of Robust Classification NIPS 2019
Generalization Bounds for Neural Networks via Approximate Description Length NIPS 2019
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel NIPS 2019
Learning from Bad Data via Generation NIPS 2019
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences NIPS 2019
Estimating Entropy of Distributions in Constant Space NIPS 2019
Dimensionality reduction: theoretical perspective on practical measures NIPS 2019
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes NIPS 2019
Deep ReLU Networks Have Surprisingly Few Activation Patterns NIPS 2019
Input-Output Equivalence of Unitary and Contractive RNNs NIPS 2019
Computing Full Conformal Prediction Set with Approximate Homotopy NIPS 2019
Finite-Sample Analysis for SARSA with Linear Function Approximation NIPS 2019
On the Expressive Power of Deep Polynomial Neural Networks NIPS 2019
Semi-flat minima and saddle points by embedding neural networks to overparameterization NIPS 2019
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities NIPS 2019
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning NIPS 2019
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes NIPS 2019
Piecewise Strong Convexity of Neural Networks NIPS 2019