conftrace_

approximation error

49 papers

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Co-occurring keywords

neural network (6616) approximation theory (77) relu network (143) generalization error (285) markov decision process (790) deep learning (2118) function approximation (319) reinforcement learning (4352) dimensionality reduction (720) expressive power (51)

Papers

The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms AAAI 2026
A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations IJCAI 2025
Deep Generative Models: Complexity, Dimensionality, and Approximation JMLR 2025
Do Influence Functions Work on Large Language Models? EMNLP 2025
Piecewise regression via mixed-integer programming for MPC L4DC 2024
In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization NIPS 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization NIPS 2024
Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors NIPS 2024
On Sampling Strategies for Spectral Model Sharding NIPS 2024
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy NIPS 2023
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap ICML 2023
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation CVPR 2023
LSDS++ : Dual Sampling for Accelerated k-means++ ICML 2023
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error JMLR 2023
Error Estimation for Random Fourier Features AISTATS 2023
Reinforced Approximate Exploratory Data Analysis AAAI 2023
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network ICML 2023
On the Size and Approximation Error of Distilled Datasets NIPS 2023
Posterior and Computational Uncertainty in Gaussian Processes NIPS 2022
Towards Lightweight Black-Box Attack Against Deep Neural Networks NIPS 2022
Neural Network Architecture Beyond Width and Depth NIPS 2022
Generic bounds on the approximation error for physics-informed (and) operator learning NIPS 2022
Challenging Common Assumptions in Convex Reinforcement Learning NIPS 2022
Streaming Algorithms for Support-Aware Histograms ICML 2022
A Spectral Analysis of Dot-product Kernels AISTATS 2021