Bayesian Joint Additive Factor Models for Multiview Learningby Niccolo Anceschi, Federico Ferrari, David B. Dunson,…
Causal Contrastive Learning for Counterfactual Regression Over Timeby Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit,…
Stein Random Feature Regressionby Houston Warren, Rafael Oliveira, Fabio RamosFirst submitted to arxiv on: 1…
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossingby Jens Decke,…
G-Transformer for Conditional Average Potential Outcome Estimation over Timeby Konstantin Hess, Dennis Frauen, Valentyn Melnychuk,…
Shape Constraints in Symbolic Regression using Penalized Least Squaresby Viktor Martinek, Julia Reuter, Ophelia Frotscher,…
Linear Contracts in Multitasking: Robustness, Uniformity, and Learningby Shiliang ZuoFirst submitted to arxiv on: 31…
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learningby Linjiajie…
Certifying Global Robustness for Deep Neural Networksby You Li, Guannan Zhao, Shuyu Kong, Yunqi He,…
Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learningby Dimitris Bertsimas, Matthew…