Statistical Properties of the log-cosh Loss Function Used in Machine Learning

9 August 2022

Papers citing "Statistical Properties of the log-cosh Loss Function Used in Machine Learning"

8 / 8 papers shown

Title
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression Yixuan Zhang Dongyan Yudong Chen Qiaomin Xie 26 0 0 11 Apr 2025
Energy-based Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann Simon Schmid Bernhard Lehner Daniel Klotz Sepp Hochreiter OODD 45 8 0 14 May 2024
Three Ways of Using Large Language Models to Evaluate Chat Ondvrej Plátek Vojtvech Hudevcek Patrícia Schmidtová Mateusz Lango Ondrej Dusek ALM 19 6 0 12 Aug 2023
Deep Learning and Geometric Deep Learning: an introduction for mathematicians and physicists R. Fioresi F. Zanchetta PINN 25 4 0 09 May 2023
LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction Jiawei Jiang Chengkai Han Wenjun Jiang Wayne Xin Zhao Jingyuan Wang AI4TS AI4CE 48 7 0 27 Apr 2023
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting Aryan Jadon Avinash Patil Shruti Jadon AI4TS AI4CE 22 61 0 05 Nov 2022
JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities Pouria A. Mistani Samira Pakravan Rajesh Ilango Frédéric Gibou 16 8 0 25 Oct 2022
Solution to the Non-Monotonicity and Crossing Problems in Quantile Regression Resve A. Saleh A. Saleh 13 2 0 08 Nov 2021