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Testing Ising Models

Testing Ising Models

9 December 2016
C. Daskalakis
Nishanth Dikkala
Gautam Kamath
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Papers citing "Testing Ising Models"

50 / 66 papers shown
Title
Monotonicity Testing of High-Dimensional Distributions with Subcube Conditioning
Deeparnab Chakrabarty
Xi Chen
Simeon Ristic
C. Seshadhri
Erik Waingarten
45
1
0
22 Feb 2025
One-Shot Learning for k-SAT
One-Shot Learning for k-SAT
Andreas Galanis
Leslie Ann Goldberg
Xusheng Zhang
41
0
0
10 Feb 2025
Causal Contextual Bandits with Adaptive Context
Causal Contextual Bandits with Adaptive Context
Rahul Madhavan
Aurghya Maiti
Gaurav Sinha
Siddharth Barman
CML
18
0
0
28 May 2024
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model
Abhinav Chakraborty
Anirban Chatterjee
Abhinandan Dalal
28
0
0
29 Jan 2024
Testing Closeness of Multivariate Distributions via Ramsey Theory
Testing Closeness of Multivariate Distributions via Ramsey Theory
Ilias Diakonikolas
Daniel M. Kane
Sihan Liu
18
2
0
22 Nov 2023
A Unified Approach to Learning Ising Models: Beyond Independence and
  Bounded Width
A Unified Approach to Learning Ising Models: Beyond Independence and Bounded Width
Jason Gaitonde
Elchanan Mossel
33
8
0
15 Nov 2023
Learning Hard-Constrained Models with One Sample
Learning Hard-Constrained Models with One Sample
Andreas Galanis
Alkis Kalavasis
Anthimos Vardis Kandiros
20
2
0
06 Nov 2023
Interaction Screening and Pseudolikelihood Approaches for Tensor
  Learning in Ising Models
Interaction Screening and Pseudolikelihood Approaches for Tensor Learning in Ising Models
Tianyu Liu
Somabha Mukherjee
26
0
0
20 Oct 2023
Limit Theorems and Phase Transitions in the Tensor Curie-Weiss Potts
  Model
Limit Theorems and Phase Transitions in the Tensor Curie-Weiss Potts Model
Sanchayan Bhowal
Somabha Mukherjee
28
2
0
03 Jul 2023
Near-Optimal Degree Testing for Bayes Nets
Near-Optimal Degree Testing for Bayes Nets
Vipul Arora
Arnab Bhattacharyya
C. Canonne
Joy Qiping Yang
TPM
32
2
0
13 Apr 2023
Tensor Recovery in High-Dimensional Ising Models
Tensor Recovery in High-Dimensional Ising Models
Tianyu Liu
Somabha Mukherjee
Rahul Biswas
30
2
0
02 Apr 2023
Uniformity Testing over Hypergrids with Subcube Conditioning
Uniformity Testing over Hypergrids with Subcube Conditioning
Xi Chen
Cassandra Marcussen
28
3
0
17 Feb 2023
Learning and Testing Latent-Tree Ising Models Efficiently
Learning and Testing Latent-Tree Ising Models Efficiently
Davin Choo
Y. Dagan
C. Daskalakis
Anthimos Vardis Kandiros
34
8
0
23 Nov 2022
Gaussian Mean Testing Made Simple
Gaussian Mean Testing Made Simple
Ilias Diakonikolas
D. Kane
Ankit Pensia
28
5
0
25 Oct 2022
Complexity of High-Dimensional Identity Testing with Coordinate
  Conditional Sampling
Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling
Antonio Blanca
Zongchen Chen
Daniel Stefankovic
Eric Vigoda
23
3
0
19 Jul 2022
Independence Testing for Bounded Degree Bayesian Network
Independence Testing for Bounded Degree Bayesian Network
Arnab Bhattacharyya
C. Canonne
Joy Qiping Yang
32
9
0
19 Apr 2022
Private High-Dimensional Hypothesis Testing
Private High-Dimensional Hypothesis Testing
Shyam Narayanan
FedML
42
11
0
03 Mar 2022
Active-LATHE: An Active Learning Algorithm for Boosting the Error
  Exponent for Learning Homogeneous Ising Trees
Active-LATHE: An Active Learning Algorithm for Boosting the Error Exponent for Learning Homogeneous Ising Trees
Fengzhuo Zhang
Anshoo Tandon
Vincent Y. F. Tan
24
1
0
27 Oct 2021
Sharp Signal Detection Under Ferromagnetic Ising Models
Sharp Signal Detection Under Ferromagnetic Ising Models
Sohom Bhattacharya
Rajarshi Mukherjee
G. Ray
25
4
0
06 Oct 2021
The Sample Complexity of Robust Covariance Testing
The Sample Complexity of Robust Covariance Testing
Ilias Diakonikolas
D. Kane
27
8
0
31 Dec 2020
Testing Product Distributions: A Closer Look
Testing Product Distributions: A Closer Look
Arnab Bhattacharyya
Sutanu Gayen
S. Kandasamy
N. V. Vinodchandran
27
7
0
29 Dec 2020
Sharp Local Minimax Rates for Goodness-of-Fit Testing in multivariate
  Binomial and Poisson families and in multinomials
Sharp Local Minimax Rates for Goodness-of-Fit Testing in multivariate Binomial and Poisson families and in multinomials
J. Chhor
Alexandra Carpentier
21
8
0
26 Dec 2020
Detecting Structured Signals in Ising Models
Detecting Structured Signals in Ising Models
Nabarun Deb
Rajarshi Mukherjee
Soumendu Sundar Mukherjee
Ming Yuan
18
6
0
10 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
28
22
0
09 Nov 2020
Limits on Testing Structural Changes in Ising Models
Limits on Testing Structural Changes in Ising Models
Aditya Gangrade
B. Nazer
Venkatesh Saligrama
34
0
0
07 Nov 2020
Sample-Optimal and Efficient Learning of Tree Ising models
Sample-Optimal and Efficient Learning of Tree Ising models
C. Daskalakis
Qinxuan Pan
26
7
0
28 Oct 2020
Optimal Testing of Discrete Distributions with High Probability
Optimal Testing of Discrete Distributions with High Probability
Ilias Diakonikolas
Themis Gouleakis
D. Kane
John Peebles
Eric Price
36
31
0
14 Sep 2020
Estimation in Tensor Ising Models
Estimation in Tensor Ising Models
Somabha Mukherjee
Jaesung Son
B. Bhattacharya
18
12
0
29 Aug 2020
Parameter Estimation for Undirected Graphical Models with Hard
  Constraints
Parameter Estimation for Undirected Graphical Models with Hard Constraints
B. Bhattacharya
K. Ramanan
21
2
0
22 Aug 2020
On Distribution Testing in the Conditional Sampling Model
On Distribution Testing in the Conditional Sampling Model
Shyam Narayanan
28
8
0
20 Jul 2020
Learning of Discrete Graphical Models with Neural Networks
Learning of Discrete Graphical Models with Neural Networks
Abhijith Jayakumar
A. Lokhov
Sidhant Misra
Marc Vuffray
CML
26
8
0
21 Jun 2020
Robust Estimation of Tree Structured Ising Models
Robust Estimation of Tree Structured Ising Models
A. Katiyar
Vatsal Shah
Constantine Caramanis
TPM
26
10
0
10 Jun 2020
Phase Transitions of the Maximum Likelihood Estimates in the $p$-Spin
  Curie-Weiss Model
Phase Transitions of the Maximum Likelihood Estimates in the ppp-Spin Curie-Weiss Model
Somabha Mukherjee
Jaesung Son
B. Bhattacharya
17
15
0
07 May 2020
Learning and Testing Junta Distributions with Subcube Conditioning
Learning and Testing Junta Distributions with Subcube Conditioning
Xi Chen
Rajesh Jayaram
Amit Levi
Erik Waingarten
17
26
0
26 Apr 2020
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts
  models
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models
Antonio Blanca
Zongchen Chen
Daniel Stefankovic
Eric Vigoda
26
4
0
22 Apr 2020
Logistic-Regression with peer-group effects via inference in higher
  order Ising models
Logistic-Regression with peer-group effects via inference in higher order Ising models
C. Daskalakis
Nishanth Dikkala
Ioannis Panageas
37
11
0
18 Mar 2020
Stein Variational Inference for Discrete Distributions
Stein Variational Inference for Discrete Distributions
Jun Han
Fan Ding
Xianglong Liu
Lorenzo Torresani
Jian-wei Peng
Qiang Liu
19
21
0
01 Mar 2020
Privately Learning Markov Random Fields
Privately Learning Markov Random Fields
Huanyu Zhang
Gautam Kamath
Janardhan Kulkarni
Zhiwei Steven Wu
19
25
0
21 Feb 2020
Efficient Distance Approximation for Structured High-Dimensional
  Distributions via Learning
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning
Arnab Bhattacharyya
Sutanu Gayen
Kuldeep S. Meel
N. V. Vinodchandran
13
20
0
13 Feb 2020
Random Restrictions of High-Dimensional Distributions and Uniformity
  Testing with Subcube Conditioning
Random Restrictions of High-Dimensional Distributions and Uniformity Testing with Subcube Conditioning
C. Canonne
Xi Chen
Gautam Kamath
Amit Levi
Erik Waingarten
32
28
0
17 Nov 2019
Multi-Item Mechanisms without Item-Independence: Learnability via
  Robustness
Multi-Item Mechanisms without Item-Independence: Learnability via Robustness
J. Brustle
Yang Cai
C. Daskalakis
21
46
0
06 Nov 2019
Learning from weakly dependent data under Dobrushin's condition
Learning from weakly dependent data under Dobrushin's condition
Y. Dagan
C. Daskalakis
Nishanth Dikkala
S. Jayanti
18
24
0
21 Jun 2019
Communication and Memory Efficient Testing of Discrete Distributions
Communication and Memory Efficient Testing of Discrete Distributions
Ilias Diakonikolas
Themis Gouleakis
D. Kane
Sankeerth Rao
15
26
0
11 Jun 2019
On Testing for Parameters in Ising Models
On Testing for Parameters in Ising Models
Rajarshi Mukherjee
G. Ray
38
10
0
02 Jun 2019
Private Identity Testing for High-Dimensional Distributions
Private Identity Testing for High-Dimensional Distributions
C. Canonne
Gautam Kamath
Audra McMillan
Jonathan R. Ullman
Lydia Zakynthinou
37
36
0
28 May 2019
Regression from Dependent Observations
Regression from Dependent Observations
C. Daskalakis
Nishanth Dikkala
Ioannis Panageas
29
30
0
08 May 2019
Lower bounds for testing graphical models: colorings and
  antiferromagnetic Ising models
Lower bounds for testing graphical models: colorings and antiferromagnetic Ising models
Ivona Bezáková
Antonio Blanca
Zongchen Chen
Daniel Stefankovic
Eric Vigoda
11
20
0
22 Jan 2019
Predictive Learning on Hidden Tree-Structured Ising Models
Predictive Learning on Hidden Tree-Structured Ising Models
Konstantinos E. Nikolakakis
Dionysios S. Kalogerias
Anand D. Sarwate
32
12
0
11 Dec 2018
Testing Changes in Communities for the Stochastic Block Model
Testing Changes in Communities for the Stochastic Block Model
Aditya Gangrade
Praveen Venkatesh
B. Nazer
Venkatesh Saligrama
26
3
0
29 Nov 2018
HOGWILD!-Gibbs can be PanAccurate
HOGWILD!-Gibbs can be PanAccurate
C. Daskalakis
Nishanth Dikkala
S. Jayanti
18
13
0
26 Nov 2018
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