Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Anand D. Sarwate

A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression


May 31, 2021
Batoul Taki, Mohsen Ghassemi, Anand D. Sarwate, Waheed U. Bajwa

* 8 pages; preprint of a conference paper 

  Access Paper or Ask Questions

Best-Arm Identification for Quantile Bandits with Privacy


Jun 11, 2020
Dionysios S. Kalogerias, Kontantinos E. Nikolakakis, Anand D. Sarwate, Or Sheffet

* 24 pages, 4 figures 

  Access Paper or Ask Questions

Improved Differentially Private Decentralized Source Separation for fMRI Data


Oct 28, 2019
Hafiz Imtiaz, Jafar Mohammadi, Rogers Silva, Bradley Baker, Sergey M. Plis, Anand D. Sarwate, Vince Calhoun

* \c{opyright} 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

  Access Paper or Ask Questions

Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions


Sep 20, 2019
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate

* 18 pages, 3 figures 

  Access Paper or Ask Questions

Distributed Differentially Private Computation of Functions with Correlated Noise


May 03, 2019
Hafiz Imtiaz, Jafar Mohammadi, Anand D. Sarwate

* \c{opyright} 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

  Access Paper or Ask Questions

Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms


Mar 22, 2019
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa

* 17 pages, 5 figures, 2 tables; in review for journal publication 

  Access Paper or Ask Questions

Predictive Learning on Sign-Valued Hidden Markov Trees


Dec 11, 2018
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate

* 62 pages, 2 figures 

  Access Paper or Ask Questions

Identifiability of Kronecker-structured Dictionaries for Tensor Data


May 25, 2018
Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa

* IEEE J. Sel. Topics Signal Processing, vol. 12, no. 5, pp. 1047-1062, Oct. 2018 
* 16 pages, to appear in IEEE Journal of Special Topics in Signal Processing 

  Access Paper or Ask Questions

Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization


Apr 26, 2018
Hafiz Imtiaz, Anand D. Sarwate

* 39 pages, in review for publication 

  Access Paper or Ask Questions

STARK: Structured Dictionary Learning Through Rank-one Tensor Recovery


Nov 13, 2017
Mohsen Ghassemi, Zahra Shakeri, Anand D. Sarwate, Waheed U. Bajwa


  Access Paper or Ask Questions

High Dimensional Inference with Random Maximum A-Posteriori Perturbations


May 30, 2017
Tamir Hazan, Francesco Orabona, Anand D. Sarwate, Subhransu Maji, Tommi Jaakkola

* 47 pages, 10 figures, under review 

  Access Paper or Ask Questions

Minimax Lower Bounds for Kronecker-Structured Dictionary Learning


May 17, 2016
Zahra Shakeri, Waheed U. Bajwa, Anand D. Sarwate

* Proc. IEEE Intl. Symp. Information Theory, Barcelona, Spain, Jul. 10-15, 2016, pp. 1148-1152 
* 5 pages, 1 figure. To appear in 2016 IEEE International Symposium on Information Theory 

  Access Paper or Ask Questions

Auditing: Active Learning with Outcome-Dependent Query Costs


Jul 12, 2015
Sivan Sabato, Anand D. Sarwate, Nathan Srebro

* Neural Information Processing Systems 26 (NIPS), 512-520, 2013 
* Corrections in section 5 

  Access Paper or Ask Questions

Learning from Data with Heterogeneous Noise using SGD


Dec 17, 2014
Shuang Song, Kamalika Chaudhuri, Anand D. Sarwate


  Access Paper or Ask Questions

On Measure Concentration of Random Maximum A-Posteriori Perturbations


Oct 15, 2013
Francesco Orabona, Tamir Hazan, Anand D. Sarwate, Tommi Jaakkola


  Access Paper or Ask Questions

Near-Optimal Algorithms for Differentially-Private Principal Components


Aug 07, 2013
Kamalika Chaudhuri, Anand D. Sarwate, Kaushik Sinha

* 37 pages, 8 figures; final version to appear in the Journal of Machine Learning Research, preliminary version was at NIPS 2012 

  Access Paper or Ask Questions

Privacy constraints in regularized convex optimization


Jun 21, 2011
Kamalika Chaudhuri, Anand D. Sarwate

* This paper has been withdrawn by the authors due to some errors. Corrections have been included in arXiv:0912.0071v4 

  Access Paper or Ask Questions

Differentially Private Empirical Risk Minimization


Feb 16, 2011
Kamalika Chaudhuri, Claire Monteleoni, Anand D. Sarwate

* 40 pages, 7 figures, accepted to the Journal of Machine Learning Research 

  Access Paper or Ask Questions