neural network approximation

Deep Bucket Elimination IJCAI 2021 Elementary superexpressive activations ICML 2021 Going Beyond Linear RL: Sample Efficient Neural Function Approximation NeurIPS 2021 NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs NeurIPS 2021 On the Representation of Solutions to Elliptic PDEs in Barron Spaces NeurIPS 2021 Size and Depth Separation in Approximating Benign Functions with Neural Networks COLT 2021 A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation ICML 2020 Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization AAAI 2020 The phase diagram of approximation rates for deep neural networks NeurIPS 2020 Depth Separations in Neural Networks: What is Actually Being Separated? COLT 2019 Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds NeurIPS 2019 SIMON: A Simple and Scalable Method for Sensing, Inference and Measurement in Data Center Networks NSDI 2019 A Two-Step Computation of the Exact GAN Wasserstein Distance ICML 2018