An Alternative Probabilistic Interpretation of the Huber Loss

5 November 2019

Papers citing "An Alternative Probabilistic Interpretation of the Huber Loss"

12 / 12 papers shown

Title
TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations Yihang Lu Yangyang Xu Qitao Qing Xianwei Meng AI4TS 49 0 0 17 Apr 2025
$Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty$ Sparse Bayesian Lasso via a Variable-Coefficient $\ell_1$ Penalty Nathan Wycoff Ali Arab Katharine M. Donato Lisa O. Singh 26 3 0 09 Nov 2022
Instance-Dependent Generalization Bounds via Optimal Transport Songyan Hou Parnian Kassraie Anastasis Kratsios Andreas Krause Jonas Rothfuss 22 6 0 02 Nov 2022
Exponential Family Trend Filtering on Lattices Veeranjaneyulu Sadhanala R. Bassett James Sharpnack D. McDonald 37 3 0 19 Sep 2022
A novel Deep Learning approach for one-step Conformal Prediction approximation Julia A. Meister K. Nguyen S. Kapetanakis Zhiyuan Luo 18 5 0 25 Jul 2022
Variational Sparse Coding with Learned Thresholding Kion Fallah Christopher Rozell DRL 25 7 0 07 May 2022
Markov subsampling based Huber Criterion Tieliang Gong Yuxin Dong Hong Chen B. Dong Chen Li 21 2 0 12 Dec 2021
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1 I. Ebert‐Uphoff Ryan Lagerquist Kyle Hilburn Yoonjin Lee Katherine Haynes Jason Stock C. Kumler J. Stewart 24 20 0 17 Jun 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 35 2 0 04 Jan 2021
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate C. Kümmerle C. M. Verdun Dominik Stöger 28 14 0 22 Dec 2020
Inferring Spatial Uncertainty in Object Detection Zining Wang Di Feng Yiyang Zhou Lars Rosenbaum Fabian Timm Klaus C. J. Dietmayer Masayoshi Tomizuka Wei Zhan 16 27 0 07 Mar 2020
Learning an Uncertainty-Aware Object Detector for Autonomous Driving Gregory P. Meyer Niranjan Thakurdesai UQCV 25 60 0 24 Oct 2019