Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shiftsby Ha Manh Bui,…
Improve Generalization Ability of Deep Wide Residual Network with A Suitable Scaling Factorby Songtao Tian,…
Regularized DeepIV with Model Selectionby Zihao Li, Hui Lan, Vasilis Syrgkanis, Mengdi Wang, Masatoshi UeharaFirst…
Stop Regressing: Training Value Functions via Classification for Scalable Deep RLby Jesse Farebrother, Jordi Orbay,…
Online Learning with Unknown Constraintsby Karthik Sridharan, Seung Won Wilson YooFirst submitted to arxiv on:…
Prediction Of Cryptocurrency Prices Using LSTM, SVM And Polynomial Regressionby Novan Fauzi Al Giffary, Feri…
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer Modelby Yihang She,…
Noise misleads rotation invariant algorithms on sparse targetsby Manfred K. Warmuth, Wojciech Kotłowski, Matt Jones,…
Deep Neural Network for Constraint Acquisition through Tailored Loss Functionby Eduardo Vyhmeister, Rocio Paez, Gabriel…
A prediction rigidity formalism for low-cost uncertainties in trained neural networksby Filippo Bigi, Sanggyu Chong,…