Summary of Adaptive Optimization For Prediction with Missing Data, by Dimitris Bertsimas et al.
Adaptive Optimization for Prediction with Missing Databy Dimitris Bertsimas, Arthur Delarue, Jean PauphiletFirst submitted to…
Adaptive Optimization for Prediction with Missing Databy Dimitris Bertsimas, Arthur Delarue, Jean PauphiletFirst submitted to…
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrumby Tin Sum Cheng, Aurelien Lucchi, Anastasis…
Spectrally Transformed Kernel Regressionby Runtian Zhai, Rattana Pukdee, Roger Jin, Maria-Florina Balcan, Pradeep RavikumarFirst submitted…
Vertical Symbolic Regression via Deep Policy Gradientby Nan Jiang, Md Nasim, Yexiang XueFirst submitted to…
Tensor-based process control and monitoring for semiconductor manufacturing with unstable disturbancesby Yanrong Li, Juan Du,…
Personalized Differential Privacy for Ridge Regressionby Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba ZianiFirst submitted…
A Latent Space Metric for Enhancing Prediction Confidence in Earth Observation Databy Ioannis Pitsiorlas, Argyro…
Multiple Yield Curve Modeling and Forecasting using Deep Learningby Ronald Richman, Salvatore ScognamiglioFirst submitted to…
HawkEye: Advancing Robust Regression with Bounded, Smooth, and Insensitive Loss Functionby Mushir Akhtar, M. Tanveer,…
MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property Retrievalby Xingyan…