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neural network approximation

31 papers

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Co-occurring keywords

function approximation (319) relu network (143) neural network (6616) approximation theory (77) deep neural network (1803) activation function (133) partial differential equation (222) value function (295) universal approximation (51) deep learning theory (36)

Papers

Neur2BiLO: Neural Bilevel Optimization NIPS 2024
Policy Evaluation for Reinforcement Learning from Human Feedback: A Sample Complexity Analysis AISTATS 2024
Neural Network Approximation for Pessimistic Offline Reinforcement Learning AAAI 2024
The Galerkin method beats Graph-Based Approaches for Spectral Algorithms AISTATS 2024
Optimal Approximation Rates for Deep ReLU Neural Networks on Sobolev and Besov Spaces JMLR 2023
Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions ICML 2023
Limitations on approximation by deep and shallow neural networks JMLR 2023
Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective ICML 2023
Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network ICML 2023
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network ICML 2023
Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons JMLR 2022
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers NIPS 2022
Quantile regression with ReLU Networks: Estimators and minimax rates JMLR 2022
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime ICML 2022
Size and depth of monotone neural networks: interpolation and approximation NIPS 2022
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks NIPS 2022
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups NIPS 2022
Size and Depth Separation in Approximating Benign Functions with Neural Networks COLT 2021
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations COLT 2021
Elementary superexpressive activations ICML 2021
Deep Bucket Elimination IJCAI 2021
On the Representation of Solutions to Elliptic PDEs in Barron Spaces NIPS 2021
Going Beyond Linear RL: Sample Efficient Neural Function Approximation NIPS 2021
NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs NIPS 2021
Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization AAAI 2020