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Integral approximation by kernel smoothing
v1v2 (latest)

Integral approximation by kernel smoothing

2 September 2014
B. Delyon
Franccois Portier
ArXiv (abs)PDFHTML

Papers citing "Integral approximation by kernel smoothing"

26 / 26 papers shown
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling
Touqeer Ahmad
Mohammadreza M. Kalan
François Portier
Gilles Stupfler
148
1
0
23 Oct 2025
Repulsive Monte Carlo on the sphere for the sliced Wasserstein distance
Repulsive Monte Carlo on the sphere for the sliced Wasserstein distance
Vladimir Petrovic
Rémi Bardenet
Agnès Desolneux
238
1
0
12 Sep 2025
Stationary MMD Points
Stationary MMD Points
Zonghao Chen
Toni Karvonen
Heishiro Kanagawa
F. Briol
Chris J. Oates
340
1
0
27 May 2025
Nearest Neighbor Sampling for Covariate Shift Adaptation
Nearest Neighbor Sampling for Covariate Shift Adaptation
Franccois Portier
Lionel Truquet
Ikko Yamane
OffRL
354
4
0
15 Dec 2023
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Antoine Chatalic
Nicolas Schreuder
Ernesto De Vito
Lorenzo Rosasco
313
6
0
22 Nov 2023
Enhancing Sample Quality through Minimum Energy Importance Weights
Enhancing Sample Quality through Minimum Energy Importance Weights
Chaofan Huang
V. R. Joseph
369
0
0
12 Oct 2023
Statistically Efficient Variance Reduction with Double Policy Estimation
  for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning
Hanhan Zhou
Tian-Shing Lan
Vaneet Aggarwal
OffRL
379
4
0
28 Aug 2023
New estimation of Sobol' indices using kernels
New estimation of Sobol' indices using kernels
Sébastien Da Veiga
Fabrice Gamboa
A. Lagnoux
T. Klein
Clémentine Prieur
248
2
0
31 Mar 2023
Sequential Neural Score Estimation: Likelihood-Free Inference with
  Conditional Score Based Diffusion Models
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion ModelsInternational Conference on Machine Learning (ICML), 2022
Louis Sharrock
J. Simons
Song Liu
Mark Beaumont
DiffM
359
56
0
10 Oct 2022
Adaptive greedy algorithm for moderately large dimensions in kernel
  conditional density estimation
Adaptive greedy algorithm for moderately large dimensions in kernel conditional density estimationJournal of machine learning research (JMLR), 2019
Minh Nguyen
C. Lacour
Vincent Rivoirard
185
2
0
28 Jun 2021
Tractable Computation of Expected Kernels
Tractable Computation of Expected KernelsConference on Uncertainty in Artificial Intelligence (UAI), 2021
Wenzhe Li
Zhe Zeng
Antonio Vergari
Karen Ullrich
TPM
365
1
0
21 Feb 2021
Reducing Sampling Error in Batch Temporal Difference Learning
Reducing Sampling Error in Batch Temporal Difference Learning
Brahma S. Pavse
Ishan Durugkar
Josiah P. Hanna
Peter Stone
OffRL
192
14
0
15 Aug 2020
Adaptive quadrature schemes for Bayesian inference via active learning
Adaptive quadrature schemes for Bayesian inference via active learningIEEE Access (IEEE Access), 2020
F. Llorente
Luca Martino
Victor Elvira
D. Delgado
J. Lopez-Santiago
421
19
0
31 May 2020
Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement
  Learning
Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning
Riashat Islam
Raihan Seraj
Samin Yeasar Arnob
Doina Precup
OffRL
210
3
0
11 Dec 2019
Inference with Hamiltonian Sequential Monte Carlo Simulators
Inference with Hamiltonian Sequential Monte Carlo Simulators
Remi Daviet
175
12
0
19 Dec 2018
Robust Importance Sampling with Adaptive Winsorization
Robust Importance Sampling with Adaptive Winsorization
Paulo Orenstein
194
0
0
25 Oct 2018
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error
  Reduction via Surrogate Policy
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy
Yuan Xie
Boyi Liu
Qiang Liu
Zhaoran Wang
Yuanshuo Zhou
Jian-wei Peng
OffRL
161
20
0
01 Aug 2018
Importance Sampling Policy Evaluation with an Estimated Behavior Policy
Importance Sampling Policy Evaluation with an Estimated Behavior Policy
Josiah P. Hanna
S. Niekum
Peter Stone
OffRL
372
71
0
04 Jun 2018
Asymptotic optimality of adaptive importance sampling
Asymptotic optimality of adaptive importance sampling
B. Delyon
François Portier
182
35
0
04 Jun 2018
Monte Carlo integration with a growing number of control variates
Monte Carlo integration with a growing number of control variates
François Portier
Johan Segers
545
31
0
05 Jan 2018
Learning to Draw Samples with Amortized Stein Variational Gradient
  Descent
Learning to Draw Samples with Amortized Stein Variational Gradient Descent
Yihao Feng
Dilin Wang
Qiang Liu
GANBDL
249
83
0
20 Jul 2017
Learning to Draw Samples: With Application to Amortized MLE for
  Generative Adversarial Learning
Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning
Dilin Wang
Qiang Liu
GANBDL
334
120
0
06 Nov 2016
Black-box Importance Sampling
Black-box Importance Sampling
Qiang Liu
Jason D. Lee
FAtt
252
77
0
17 Oct 2016
Integral estimation based on Markovian design
Integral estimation based on Markovian design
Romain Azais
B. Delyon
Franccois Portier
86
8
0
05 Sep 2016
Monte Carlo with Determinantal Point Processes
Monte Carlo with Determinantal Point Processes
Rémi Bardenet
A. Hardy
308
85
0
02 May 2016
Convergence Rates for a Class of Estimators Based on Stein's Method
Convergence Rates for a Class of Estimators Based on Stein's Method
Chris J. Oates
Jon Cockayne
F. Briol
Mark Girolami
445
61
0
10 Mar 2016
1
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