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Conditional Density Estimation with Neural Networks: Best Practices and
  Benchmarks

Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks

3 March 2019
Jonas Rothfuss
Fabio Ferreira
Simon Walther
Maxim Ulrich
    TPM
ArXivPDFHTML

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

12 / 12 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
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
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
Testing for the Markov Property in Time Series via Deep Conditional Generative Learning
Yunzhe Zhou
C. Shi
Lexin Li
Q. Yao
AI4TS
35
8
0
30 May 2023
Causal Deep Reinforcement Learning Using Observational Data
Causal Deep Reinforcement Learning Using Observational Data
Wenxuan Zhu
Chao Yu
Q. Zhang
CML
OffRL
18
5
0
28 Nov 2022
Wasserstein Distributional Learning
Wasserstein Distributional Learning
Chengliang Tang
N. Lenssen
Ying Wei
Tian Zheng
13
0
0
12 Sep 2022
lpcde: Estimation and Inference for Local Polynomial Conditional Density
  Estimators
lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators
M. D. Cattaneo
Rajita Chandak
Michael Jansson
Xinwei Ma
18
1
0
21 Apr 2022
Lifelong Vehicle Trajectory Prediction Framework Based on Generative
  Replay
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay
Peng Bao
Zonghai Chen
Ji-kai Wang
Deyun Dai
Hao Zhao
28
9
0
15 Nov 2021
Probabilistic Time Series Forecasts with Autoregressive Transformation
  Models
Probabilistic Time Series Forecasts with Autoregressive Transformation Models
David Rügamer
Philipp F. M. Baumann
Thomas Kneib
Torsten Hothorn
AI4TS
48
12
0
15 Oct 2021
VCNet and Functional Targeted Regularization For Learning Causal Effects
  of Continuous Treatments
VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Lizhen Nie
Mao Ye
Qiang Liu
D. Nicolae
CML
17
68
0
14 Mar 2021
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling
D. Klotz
Frederik Kratzert
M. Gauch
A. Sampson
G. Klambauer
Sepp Hochreiter
G. Nearing
BDL
UQCV
18
106
0
15 Dec 2020
Learned Factor Graphs for Inference from Stationary Time Sequences
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
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