Noise Regularization for Conditional Density Estimation

21 July 2019

Papers citing "Noise Regularization for Conditional Density Estimation"

8 / 8 papers shown

Title
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel Mihaela van der Schaar CML 61 3 0 05 Nov 2024
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 37 9 0 19 Nov 2023
IL-flOw: Imitation Learning from Observation using Normalizing Flows Wei-Di Chang J. A. G. Higuera Scott Fujimoto David Meger Gregory Dudek 38 9 0 19 May 2022
Short-Term Density Forecasting of Low-Voltage Load using Bernstein-Polynomial Normalizing Flows M. Arpogaus Marcus Voss Beate Sick Mark Nigge-Uricher Oliver Durr 33 16 0 29 Apr 2022
Multi-Asset Spot and Option Market Simulation Magnus Wiese Ben Wood Alexandre Pachoud R. Korn Hans Buehler Phillip Murray Lianjun Bai 32 21 0 13 Dec 2021
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation Aditya Sanghi Hang Chu Joseph G. Lambourne Ye Wang Chin-Yi Cheng Marco Fumero Kamal Rahimi Malekshan CLIP 60 289 0 06 Oct 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 42 27 0 06 Jun 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015