Mean Squared Error

Mean Squared Error (MSE) is a widely used metric for evaluating the accuracy of predictive models, aiming to minimize the average squared difference between predicted and actual values. Current research focuses on refining MSE's application in diverse fields, including generative models (like Generative Flow Networks), image restoration (using methods like Posterior-Mean Rectified Flow), and reinforcement learning, often addressing limitations like overestimation bias and sensitivity to data scale. These advancements improve model performance and efficiency across various applications, from image processing and financial forecasting to clinical trials and resource allocation in distributed systems.

Papers

June 20, 2022

Model Optimization in Imbalanced Regression
Aníbal Silva, Rita P. Ribeiro, Nuno Moniz
Loss Function Regression Task Mean Squared Error Imbalanced Regression Model Optimization

May 26, 2022

QUIC-FL: Quick Unbiased Compression for Federated Learning
Ran Ben Basat, Shay Vargaftik, Amit Portnoy, Gil Einziger, Yaniv Ben-Itzhak, Michael Mitzenmacher
Multiplier Free Quantization Mean Estimation Mean Squared Error Unbiased Compression Distributed Estimation

May 23, 2022

Scalable Kernel-Based Minimum Mean Square Error Estimator for Accelerated Image Error Concealment
Ján Koloda, Jürgen Seiler, Antonio M. Peinado, André Kaup
Mean Squared Error Error Concealment

March 31, 2022

Adaptive Estimation of Random Vectors with Bandit Feedback: A mean-squared error viewpoint
Dipayan Sen, L. A. Prashanth, Aditya Gopalan
Sample Complexity Bandit Feedback Mean Squared Error Random Vector Adaptive Linear Estimation Problem

March 30, 2022

Balanced MSE for Imbalanced Visual Regression
Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Ziwei Liu
Loss Function Label Distribution Learning Mean Squared Error Imbalanced Regression

March 19, 2022

Federated Learning Approach for Lifetime Prediction of Semiconductor Lasers
Khouloud Abdelli, Helmut Griesser, Stephan Pachnicke
Performance Improvement Mean Squared Error Privacy Preserving Federated Learning Federated Learning Approach Life Prediction Laser Pulse Semiconductor Laser

March 2, 2022

On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
Jinxin Zhou, Xiao Li, Tianyu Ding, Chong You, Qing Qu, Zhihui Zhu
Cross Entropy Loss Neural Collapse Global Optimality Mean Squared Error Last Layer Optimization Landscape Unconstrained Feature Model

February 9, 2022

Automated Distance Estimation for Wildlife Camera Trapping
Peter Johanns, Timm Haucke, Volker Steinhage
Mean Squared Error Camera Trap Distance Estimation Focal Length Abundance Estimation

January 15, 2022

Concise Logarithmic Loss Function for Robust Training of Anomaly Detection Model
YeongHyeon Park
Loss Function Robust Training Based Anomaly Detection Mean Squared Error

December 10, 2021

Mean-square-error-based secondary source placement in sound field synthesis with prior information on desired field
Keisuke Kimura, Shoichi Koyama, Natsuki Ueno, Hiroshi Saruwatari
Limited Field Sound Field Mean Squared Error Mode Matching Sound Field Synthesis

December 3, 2021

Computation of conditional expectations with guarantees
Patrick Cheridito, Balint Gersey
Computation Method Formal Guarantee Mean Squared Error Conditional Expectation Numerical Approximation

November 30, 2021

Generative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE): Deep Learning for Stock Price Movement Prediction
Ashish Kumar, Abeer Alsadoon, P. W. C. Prasad, Salma Abdullah, Tarik A. Rashid, Duong Thu Hang Pham, Tran Quoc Vinh Nguyen
Deep Learning Generative Adversarial Network Long Short Term Memory Mean Squared Error Stock Movement Prediction Price Movement

Mean Squared Error

Papers

Model Optimization in Imbalanced Regression

QUIC-FL: Quick Unbiased Compression for Federated Learning

Scalable Kernel-Based Minimum Mean Square Error Estimator for Accelerated Image Error Concealment

Adaptive Estimation of Random Vectors with Bandit Feedback: A mean-squared error viewpoint

Balanced MSE for Imbalanced Visual Regression

Federated Learning Approach for Lifetime Prediction of Semiconductor Lasers

On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features

Automated Distance Estimation for Wildlife Camera Trapping

Concise Logarithmic Loss Function for Robust Training of Anomaly Detection Model

Mean-square-error-based secondary source placement in sound field synthesis with prior information on desired field

Computation of conditional expectations with guarantees

Generative Adversarial Network (GAN) and Enhanced Root Mean Square Error (ERMSE): Deep Learning for Stock Price Movement Prediction