Conditional Density Estimation with Neural Networks: Best Practices and
Benchmarks

Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks

3 March 2019

Papers citing "Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks"

14 / 14 papers shown

Title
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates Baozhen Wang Xingye Qiao 61 1 0 28 Jan 2025
Deep Modeling of Non-Gaussian Aleatoric Uncertainty Aastha Acharya Caleb Lee Marissa DÁlonzo Jared Shamwell Nisar R. Ahmed Rebecca L. Russell BDL 46 0 0 30 May 2024
Conformal Prediction via Regression-as-Classification E. Guha Shlok Natarajan Thomas Möllenhoff Mohammad Emtiyaz Khan Eugène Ndiaye 24 11 0 12 Apr 2024
Testing for the Markov Property in Time Series via Deep Conditional Generative Learning Yunzhe Zhou C. Shi Lexin Li Q. Yao AI4TS 38 8 0 30 May 2023
Causal Deep Reinforcement Learning Using Observational Data Wenxuan Zhu Chao Yu Qiaosheng Zhang CML OffRL 26 5 0 28 Nov 2022
Wasserstein Distributional Learning Chengliang Tang N. Lenssen Ying Wei Tian Zheng 18 0 0 12 Sep 2022
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networks J. Richards Raphael Huser 23 13 0 16 Aug 2022
lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators M. D. Cattaneo Rajita Chandak Michael Jansson Xinwei Ma 23 1 0 21 Apr 2022
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay Peng Bao Zonghai Chen Ji-kai Wang Deyun Dai Hao Zhao 35 9 0 15 Nov 2021
Probabilistic Time Series Forecasts with Autoregressive Transformation Models David Rügamer Philipp F. M. Baumann Thomas Kneib Torsten Hothorn AI4TS 56 13 0 15 Oct 2021
VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments Lizhen Nie Mao Ye Qiang Liu D. Nicolae CML 25 68 0 14 Mar 2021
Model-Based Machine Learning for Communications Nir Shlezinger Nariman Farsad Yonina C. Eldar Andrea J. Goldsmith 33 23 0 12 Jan 2021
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling D. Klotz Frederik Kratzert M. Gauch A. Sampson Günter Klambauer Sepp Hochreiter G. Nearing BDL UQCV 18 106 0 15 Dec 2020
Learned Factor Graphs for Inference from Stationary Time Sequences Nir Shlezinger Nariman Farsad Yonina C. Eldar Andrea J. Goldsmith 21 24 0 05 Jun 2020