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1802.04397
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Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering
12 February 2018
Bryon Aragam
Chen Dan
Eric Xing
Pradeep Ravikumar
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Papers citing
"Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering"
19 / 19 papers shown
PMODE: Theoretically Grounded and Modular Mixture Modeling
Robert A. Vandermeulen
MoE
237
0
0
29 Aug 2025
Limitations of refinement methods for weak to strong generalization
Seamus Somerstep
Yaácov Ritov
Mikhail Yurochkin
Subha Maity
Yuekai Sun
184
1
0
23 Aug 2025
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
Bryon Aragam
Ruiyi Yang
459
0
0
29 Oct 2024
Deep Counterfactual Estimation with Categorical Background Variables
Neural Information Processing Systems (NeurIPS), 2022
E. Brouwer
CML
391
8
0
11 Oct 2022
Generalized Identifiability Bounds for Mixture Models with Grouped Samples
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Robert A. Vandermeulen
René Saitenmacher
252
4
0
22 Jul 2022
Identifiability of deep generative models without auxiliary information
Neural Information Processing Systems (NeurIPS), 2022
Bohdan Kivva
Goutham Rajendran
Pradeep Ravikumar
Bryon Aragam
DRL
423
70
0
20 Jun 2022
Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures
Annual Conference Computational Learning Theory (COLT), 2022
Bryon Aragam
W. Tai
525
3
0
28 Mar 2022
Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models
L. C. Vankadara
Sebastian Bordt
U. V. Luxburg
Debarghya Ghoshdastidar
352
6
0
18 Oct 2021
Uniform Consistency in Nonparametric Mixture Models
Annals of Statistics (Ann. Stat.), 2021
Bryon Aragam
Ruiyi Yang
433
6
0
31 Aug 2021
Learning latent causal graphs via mixture oracles
Neural Information Processing Systems (NeurIPS), 2021
Bohdan Kivva
Goutham Rajendran
Pradeep Ravikumar
Bryon Aragam
CML
460
59
0
29 Jun 2021
Skeleton Clustering: Dimension-Free Density-based Clustering
Journal of the American Statistical Association (JASA), 2021
Zeyu Wei
Yen-Chi Chen
288
5
0
21 Apr 2021
Mixtures of Gaussian Processes for regression under multiple prior distributions
Sarem Seitz
180
2
0
19 Apr 2021
Source Identification for Mixtures of Product Distributions
Annual Conference Computational Learning Theory (COLT), 2020
Spencer Gordon
Bijan Mazaheri
Y. Rabani
Leonard J. Schulman
199
23
0
29 Dec 2020
Finite mixture models do not reliably learn the number of components
International Conference on Machine Learning (ICML), 2020
Diana Cai
Trevor Campbell
Tamara Broderick
386
23
0
08 Jul 2020
Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations
Neural Information Processing Systems (NeurIPS), 2020
Alexander Ritchie
Robert A. Vandermeulen
Clayton Scott
238
14
0
12 Jun 2020
Deep Divergence-Based Approach to Clustering
Neural Networks (NN), 2019
Michael C. Kampffmeyer
Sigurd Løkse
F. Bianchi
L. Livi
Arnt-Børre Salberg
Robert Jenssen
248
73
0
13 Feb 2019
Subspace Clustering through Sub-Clusters
Journal of machine learning research (JMLR), 2018
Weiwei Li
Jan Hannig
S. Mukherjee
244
5
0
15 Nov 2018
Sample Complexity of Nonparametric Semi-Supervised Learning
Chen Dan
Liu Leqi
Bryon Aragam
Pradeep Ravikumar
Eric Xing
187
0
0
10 Sep 2018
Deep Active Learning for Anomaly Detection
Tiago Pimentel
Marianne Monteiro
Adriano Veloso
N. Ziviani
221
43
0
23 May 2018
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