Papers
1,821 papers found
The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise
Shuze Daniel Liu, Shuhang Chen, Shangtong Zhang
On the Approximation of Kernel functions
Paul Dommel, Alois Pichler
Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method
Ryan J. Tibshirani, Samy Wu Fung, Howard Heaton et al.
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals
David Bolin, Vaibhav Mehandiratta, Alexandre B. Simas
PREMAP: A Unifying PREiMage APproximation Framework for Neural Networks
Xiyue Zhang, Benjie Wang, Marta Kwiatkowska et al.
Deep Generative Models: Complexity, Dimensionality, and Approximation
Kevin Wang, Hongqian Niu, Yixin Wang et al.
Learning with Linear Function Approximations in Mean-Field Control
Erhan Bayraktar, Ali Devran Kara
Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation
Hao Liu, Jiahui Cheng, Wenjing Liao
Jackpot: Approximating Uncertainty Domains with Adversarial Manifolds
Nathanaël Munier, Emmanuel Soubies, Pierre Weiss
Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation
Thinh Doan, Justin Romberg
Training deep residual networks for uniform approximation guarantees
Matteo Marchi, Bahman Gharesifard, Paulo Tabuada
Real-time safe control of neural network dynamic models with sound approximation
Hanjiang Hu, Jianglin Lan, Changliu Liu
Random features approximation for control-affine systems
Kimia Kazemian, Yahya Sattar, Sarah Dean
Convex approximations for a bi-level formulation of data-enabled predictive control
Xu Shang, Yang Zheng
Probably approximately correct stability of allocations in uncertain coalitional games with private sampling
George Pantazis, Filiberto Fele, Filippo Fabiani et al.
CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output
Matthew B.A. McDermott, Tzu Ming Harry Hsu, Wei-Hung Weng et al.
Deep Learning Approaches to Text Production
Claire Gardent, Shashi Narayan
Generating Repetitions with Appropriate Repeated Words
Toshiki Kawamoto, Hidetaka Kamigaito, Kotaro Funakoshi et al.
Hate Speech Criteria: A Modular Approach to Task-Specific Hate Speech Definitions
Urja Khurana, Ivar Vermeulen, Eric Nalisnick et al.
Adaptive Rank Selections for Low-Rank Approximation of Language Models
Shangqian Gao, Ting Hua, Yen-Chang Hsu et al.
On the True Distribution Approximation of Minimum Bayes-Risk Decoding
Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura et al.
A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs
Umesh Bodhwani, Yuan Ling, Shujing Dong et al.