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Efficient Distance Approximation for Structured High-Dimensional
  Distributions via Learning
v1v2 (latest)

Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning

Neural Information Processing Systems (NeurIPS), 2020
13 February 2020
Arnab Bhattacharyya
Sutanu Gayen
Kuldeep S. Meel
N. V. Vinodchandran
ArXiv (abs)PDFHTML

Papers citing "Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning"

13 / 13 papers shown
On approximating the $f$-divergence between two Ising models
On approximating the fff-divergence between two Ising models
Weiming Feng
Yucheng Fu
169
0
0
05 Sep 2025
Dimension Agnostic Testing of Survey Data Credibility through the Lens of Regression
Dimension Agnostic Testing of Survey Data Credibility through the Lens of Regression
Debabrota Basu
Sourav Chakraborty
Debarshi Chanda
Buddha Dev Das
Arijit Ghosh
Arnab Ray
165
0
0
28 Aug 2025
Approximating the Total Variation Distance between Gaussians
Approximating the Total Variation Distance between GaussiansInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Arnab Bhattacharyya
Weiming Feng
Piyush Srivastava
375
1
0
14 Mar 2025
Approximating the total variation distance between spin systems
Approximating the total variation distance between spin systemsAnnual Conference Computational Learning Theory (COLT), 2025
Weiming Feng
Hongyang Liu
Minji Yang
523
1
0
08 Feb 2025
Learning bounded-degree polytrees with known skeleton
Learning bounded-degree polytrees with known skeletonInternational Conference on Algorithmic Learning Theory (ALT), 2023
Davin Choo
Joy Qiping Yang
Arnab Bhattacharyya
C. Canonne
332
3
0
10 Oct 2023
Total Variation Distance Meets Probabilistic Inference
Total Variation Distance Meets Probabilistic InferenceInternational Conference on Machine Learning (ICML), 2023
Arnab Bhattacharyya
Sutanu Gayen
Kuldeep S. Meel
Dimitrios Myrisiotis
A. Pavan
N. V. Vinodchandran
361
9
0
17 Sep 2023
Testing of Index-Invariant Properties in the Huge Object Model
Testing of Index-Invariant Properties in the Huge Object Model
Sourav Chakraborty
E. Fischer
Arijit Ghosh
Gopinath Mishra
Sayantan Sen
216
5
0
25 Jul 2022
Independence Testing for Bounded Degree Bayesian Network
Independence Testing for Bounded Degree Bayesian NetworkNeural Information Processing Systems (NeurIPS), 2022
Arnab Bhattacharyya
C. Canonne
Joy Qiping Yang
216
9
0
19 Apr 2022
Efficient inference of interventional distributions
Efficient inference of interventional distributions
Arnab Bhattacharyya
Sutanu Gayen
S. Kandasamy
Vedant Raval
N. V. Vinodchandran
224
2
0
25 Jul 2021
Learning Sparse Fixed-Structure Gaussian Bayesian Networks
Learning Sparse Fixed-Structure Gaussian Bayesian NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Arnab Bhattacharyya
Davin Choo
Rishikesh R. Gajjala
Sutanu Gayen
Yuhao Wang
CML
277
2
0
22 Jul 2021
Testing Product Distributions: A Closer Look
Testing Product Distributions: A Closer LookInternational Conference on Algorithmic Learning Theory (ALT), 2020
Arnab Bhattacharyya
Sutanu Gayen
S. Kandasamy
N. V. Vinodchandran
371
8
0
29 Dec 2020
Near-Optimal Learning of Tree-Structured Distributions by Chow-Liu
Near-Optimal Learning of Tree-Structured Distributions by Chow-Liu
Arnab Bhattacharyya
Sutanu Gayen
Eric Price
N. V. Vinodchandran
379
27
0
09 Nov 2020
Learning and Sampling of Atomic Interventions from Observations
Learning and Sampling of Atomic Interventions from Observations
Arnab Bhattacharyya
Sutanu Gayen
S. Kandasamy
Ashwin Maran
N. V. Vinodchandran
CML
283
4
0
11 Feb 2020
1
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