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1902.04553
Cited By
Maximum Likelihood Estimation for Learning Populations of Parameters
International Conference on Machine Learning (ICML), 2019
12 February 2019
Ramya Korlakai Vinayak
Weihao Kong
Gregory Valiant
Sham Kakade
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Papers citing
"Maximum Likelihood Estimation for Learning Populations of Parameters"
20 / 20 papers shown
Sharper Bounds for Chebyshev Moment Matching, with Applications
Cameron Musco
Christopher Musco
Lucas Rosenblatt
A. Singh
FedML
355
2
0
22 Aug 2024
Near-Optimal Mean Estimation with Unknown, Heteroskedastic Variances
Symposium on the Theory of Computing (STOC), 2023
Spencer Compton
Gregory Valiant
342
4
0
05 Dec 2023
Testing with Non-identically Distributed Samples
Shivam Garg
Chirag Pabbaraju
Kirankumar Shiragur
Gregory Valiant
312
1
0
19 Nov 2023
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
A Generative Framework for Personalized Learning and Estimation: Theory, Algorithms, and Privacy
Kaan Ozkara
Antonious M. Girgis
Deepesh Data
Suhas Diggavi
FedML
258
4
0
05 Jul 2022
Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints
Computer Methods in Applied Mechanics and Engineering (CMAME), 2022
Christian Soize
288
7
0
10 Feb 2022
Nonparametric mixture MLEs under Gaussian-smoothed optimal transport distance
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Fang Han
Zhen Miao
Yandi Shen
OT
299
7
0
04 Dec 2021
NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters
Ben Lengerich
Caleb N. Ellington
Bryon Aragam
Eric Xing
Manolis Kellis
CML
205
6
0
01 Nov 2021
Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics
Journal of the American Statistical Association (JASA), 2021
Zhen Miao
Weihao Kong
Ramya Korlakai Vinayak
Wei Sun
Fangzhu Han
210
10
0
06 Jun 2021
On the High Accuracy Limitation of Adaptive Property Estimation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Yanjun Han
431
5
0
27 Aug 2020
Extrapolating the profile of a finite population
Soham Jana
Yury Polyanskiy
Yihong Wu
245
6
0
21 May 2020
On the Competitive Analysis and High Accuracy Optimality of Profile Maximum Likelihood
Yanjun Han
Kirankumar Shiragur
315
2
0
07 Apr 2020
Chernoff-type Concentration of Empirical Probabilities in Relative Entropy
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020
F. R. Guo
Thomas S. Richardson
316
10
0
19 Mar 2020
Meta-learning for mixed linear regression
International Conference on Machine Learning (ICML), 2020
Weihao Kong
Raghav Somani
Zhao Song
Sham Kakade
Sewoong Oh
201
70
0
20 Feb 2020
Estimating the number and effect sizes of non-null hypotheses
International Conference on Machine Learning (ICML), 2020
Jennifer Brennan
Ramya Korlakai Vinayak
Kevin Jamieson
225
3
0
17 Feb 2020
Optimal Estimation of Change in a Population of Parameters
Ramya Korlakai Vinayak
Weihao Kong
Sham Kakade
268
4
0
28 Nov 2019
Testing Properties of Multiple Distributions with Few Samples
Information Technology Convergence and Services (ITCS), 2019
Maryam Aliakbarpour
Sandeep Silwal
280
4
0
17 Nov 2019
Learning Sample-Specific Models with Low-Rank Personalized Regression
Neural Information Processing Systems (NeurIPS), 2019
Benjamin J. Lengerich
Bryon Aragam
Eric Xing
125
22
0
15 Oct 2019
The Broad Optimality of Profile Maximum Likelihood
Neural Information Processing Systems (NeurIPS), 2019
Yi Hao
A. Orlitsky
300
29
0
10 Jun 2019
Uncertainty about Uncertainty: Optimal Adaptive Algorithms for Estimating Mixtures of Unknown Coins
Jasper C. H. Lee
Paul Valiant
275
2
0
19 Apr 2019
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