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1206.5278
Cited By
Fast Nonparametric Conditional Density Estimation
Conference on Uncertainty in Artificial Intelligence (UAI), 2007
20 June 2012
Michael P. Holmes
Alexander G. Gray
Charles Isbell
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Papers citing
"Fast Nonparametric Conditional Density Estimation"
26 / 26 papers shown
Smoothing-Based Conformal Prediction for Balancing Efficiency and Interpretability
Mingyi Zheng
Hongyu Jiang
Yizhou Lu
Jiaye Teng
168
0
0
26 Sep 2025
Treatment response as a latent variable
Christopher Tosh
Boyuan Zhang
Wesley Tansey
CML
245
1
0
12 Feb 2025
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates
AAAI Conference on Artificial Intelligence (AAAI), 2025
Baozhen Wang
Xingye Qiao
495
4
0
28 Jan 2025
Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation
International Conference on Learning Representations (ICLR), 2024
Rong Tang
Lizhen Lin
Yun Yang
DiffM
250
6
0
30 Sep 2024
Adjusting Regression Models for Conditional Uncertainty Calibration
Machine-mediated learning (ML), 2024
Ruijiang Gao
Mingzhang Yin
James McInerney
Nathan Kallus
325
0
0
26 Sep 2024
Constructing Variables Using Classifiers as an Aid to Regression: An Empirical Assessment
Colin Troisemaine
Vincent Lemaire
225
2
0
11 Mar 2024
Separating common from salient patterns with Contrastive Representation Learning
Robin Louiset
Edouard Duchesnay
Antoine Grigis
Pietro Gori
SSL
DRL
316
3
0
19 Feb 2024
Conditional Kernel Imitation Learning for Continuous State Environments
Conference on Learning for Dynamics & Control (L4DC), 2023
Rishabh Agrawal
Nathan Dahlin
Rahul Jain
A. Nayyar
245
1
0
24 Aug 2023
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
Neural Information Processing Systems (NeurIPS), 2023
Ziyi Huang
Henry Lam
Haofeng Zhang
UQCV
321
15
0
09 Jun 2023
PRISMA: A Novel Approach for Deriving Probabilistic Surrogate Safety Measures for Risk Evaluation
Accident Analysis and Prevention (Accid Anal Prev), 2023
Erwin de Gelder
Kingsley Adjenughwure
J. Manders
R. Snijders
J. Paardekooper
Olaf Op den Camp
Arturo Tejada
B. de Schutter
184
13
0
14 Mar 2023
Kernel Density Bayesian Inverse Reinforcement Learning
Aishwarya Mandyam
Didong Li
Jiayu Yao
Diana Cai
Andrew Jones
Barbara E. Engelhardt
OffRL
BDL
555
3
0
13 Mar 2023
Evaluating Aleatoric Uncertainty via Conditional Generative Models
Ziyi Huang
Henry Lam
Haofeng Zhang
PER
UD
190
6
0
09 Jun 2022
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles
Erwin de Gelder
Jasper P Hof
Eric Cator
J. Paardekooper
Olaf Op den Camp
J. Ploeg
B. de Schutter
144
46
0
24 Feb 2022
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process
Journal of the American Statistical Association (JASA), 2022
C. Shi
Jin Zhu
Ye Shen
Shuang Luo
Hong Zhu
R. Song
OffRL
465
44
0
22 Feb 2022
Construction de variables a láide de classifieurs comme aide a la regression
Colin Troisemaine
Vincent Lemaire
123
0
0
03 Dec 2021
Quantifying Epistemic Uncertainty in Deep Learning
Ziyi Huang
Henry Lam
Haofeng Zhang
UQCV
BDL
UD
PER
506
15
0
23 Oct 2021
Minimax Rates for Conditional Density Estimation via Empirical Entropy
Blair Bilodeau
Dylan J. Foster
Daniel M. Roy
431
29
0
21 Sep 2021
Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles
Erwin de Gelder
Eric Cator
J. Paardekooper
Olaf Op den Camp
B. de Schutter
205
6
0
12 Jul 2021
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification
Neural Information Processing Systems (NeurIPS), 2020
Youngseog Chung
Willie Neiswanger
I. Char
J. Schneider
UQCV
604
120
0
18 Nov 2020
Formal Controller Synthesis for Continuous-Space MDPs via Model-Free Reinforcement Learning
International Conference on Cyber-Physical Systems (ICCPS), 2020
Abolfazl Lavaei
Fabio Somenzi
Sadegh Soudjani
Ashutosh Trivedi
Majid Zamani
271
55
0
02 Mar 2020
Deep Distribution Regression
Rui-Bing Li
H. Bondell
Brian J. Reich
UQCV
377
38
0
14 Mar 2019
Kernel Density Estimation-Based Markov Models with Hidden State
G. Henter
A. Leijon
W. Kleijn
151
1
0
30 Jul 2018
Organizing Experience: A Deeper Look at Replay Mechanisms for Sample-based Planning in Continuous State Domains
Yangchen Pan
M. Zaheer
Adam White
Andrew Patterson
Martha White
339
49
0
12 Jun 2018
Probabilistic supervised learning
Frithjof Gressmann
Franz J. Király
Bilal A. Mateen
Harald Oberhauser
343
17
0
02 Jan 2018
Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation
Rafael Izbicki
Ann B. Lee
424
90
0
26 Apr 2017
Bottleneck Conditional Density Estimation
Rui Shu
Hung Bui
Mohammad Ghavamzadeh
BDL
277
24
0
25 Nov 2016
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