Publications

Preprints

• The Sample Complexity of Simple Binary Hypothesis Testing
  Ankit Pensia, Varun Jog, and Po-Ling Loh
  March 2024

• Robust regression with covariate filtering: Heavy tails and adversarial contamination
  Ankit Pensia, Varun Jog, and Po-Ling Loh
  September 2020

Conference publications

• On the Extreme Points of the -Differential Privacy Polytope
  Karan Elangovan, Varun Jog
  ISIT 2024

• Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints
  Ankit Pensia, Amir Asadi, Varun Jog, and Po-Ling Loh
  COLT 2023

• Simple Binary Hypothesis Testing under Communication Constraints
  Ankit Pensia, Varun Jog, and Po-Ling Loh
  ISIT 2022

• Many faces of adversarial risk
  Muni Sreenivas Pydi and Varun Jog
  NeuRIPS 2021

• Adversarial risk via optimal transport and optimal couplings
  Muni Sreenivas Pydi and Varun Jog
  ICML 2020

• Unifying the entropy power inequality and the Brascamp-Lieb inequality
  Venkat Anantharam, Varun Jog, and Chandra Nair
  ISIT 2019

• Teaching and learning in uncertainty
  Varun Jog
  ISIT 2019

• Adversarial influence maximization
  Justin Khim, Varun Jog, and Po-Ling Loh
  ISIT 2019

• Dual Loomis-Whitney inequalities via information theory
  Jing Hao and Varun Jog
  ISIT 2019

• Mean estimation for entangled single-sample distributions
  Ankit Pensia, Varun Jog, and Po-Ling Loh
  ISIT 2019

• Generalization error bounds using the Wasserstein metric
  Adrian Tovar Lopez and Varun Jog
  ITW 2018

• Convexity of mutual information along the Ornstein-Uhlenbeck flow
  Andre Wibisono and Varun Jog
  ISITA 2018.

• Graph-Based Ascent Algorithms for Function Maximization
  Muni Pydi Sreenivas, Varun Jog, and Po-Ling Loh
  Allerton Conference, 2018

• Convexity of mutual information in the heat flow
  Andre Wibisono and Varun Jog
  ISIT 2018

• Generalization bounds for noisy, iterative algorithms
  Ankit Pensia, Varun Jog, Po-Ling Loh
  ISIT 2018.

• An entropy inequality for symmetric random variables
  Jing Hao and Varun Jog
  ISIT 2018

• A convolution inequality for entropy over
  Varun Jog
  ISIT 2017

• Information and estimation in Fokker-Planck channels
  Andre Wibisono, Varun Jog, Po-Ling Loh
  ISIT 2017

• Computing and maximizing influence in linear threshold and triggering models
  Justin Khim, Varun Jog, Po-Ling Loh
  NIPS 2016

• Information-theoretic bounds for exact recovery in weighted stochastic block models using the Renyi divergence
  Varun Jog, Po-Ling Loh
  Allerton Conference, 2015.

• On the geometry of convex typical sets
  Varun Jog, Venkat Anantharam
  ISIT 2015
  Best student paper award

• On model misspecification and KL separation for Gaussian graphical models
  Varun Jog, Po-Ling Loh
  ISIT 2015

• A geometric analysis of the AWGN channel with a -power constraint
  Varun Jog, Venkat Anantharam.
  ISIT 2015

• An energy harvesting AWGN channel with a finite battery
  Varun Jog, Venkat Anantharam
  ISIT 2014

• Convex relative entropy decay in Markov chains
  Varun Jog, Venkat Anantharam
  CISS 2014

• The entropy power inequality and Mrs. Gerber's lemma for groups of order
  Varun Jog, Venkat Anantharam.
  ISIT 2013

• An information inequality for the BSSC channel
  Varun Jog, Chandra Nair
  ITA 2010

Journal publications

• Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities
  Ankit Pensia, Varun Jog, and Po-Ling Loh
  IEEE Transactions on Information Theory, 2024 (To appear)

• The many faces of adversarial risk: An expanded study
  Muni Sreenivas Pydi and Varun Jog
  IEEE Transactions on Information Theory, 2023

• Unifying the Brascamp-Lieb inequality and the Entropy Power inequality
  Venkat Anantharam, Varun Jog, and Chandra Nair.
  IEEE Transactions on Information Theory, July 2022

• Reverse Euclidean and Gaussian isoperimetric inequalities for parallel sets with applications
  Varun Jog
  IEEE Transactions on Information Theory, August 2021

• Adversarial risk via optimal transport and optimal couplings
  Muni Sreenivas Pydi and Varun Jog
  IEEE Transactions on Information Theory, July 2021

• Estimating location parameters in sample-heterogeneous distributions
  Ankit Pensia, Varun Jog, and Po-Ling Loh
  Information and Inference, June 2021

• Teaching and learning in uncertainty
  Varun Jog and Po-Ling Loh
  IEEE Transactions on Information Theory, 2020

• Extracting robust and accurate features via a robust information bottleneck
  Ankit Pensia, Varun Jog, and Po-Ling Loh
  IEEE Journal on Selected Areas in Information Theory, 2020

• Dual Loomis-Whitney inequalities using information theory
  Jing Hao and Varun Jog
  Entropy, special issue on “Entropy and Information Inequalities”, 2019

• Optimal rates for community estimation in the weighted stochastic block model
  Min Xu, Varun Jog, and Po-Ling Loh
  Annals of Statistics, 2019

• Intrinsic entropies of log-concave distributions
  Varun Jog, Venkat Anantharam
  IEEE Transactions on Information Theory, 2017

• Persistence of centrality in random growing trees
  Varun Jog, Po-Ling Loh
  Random Structures and Algorithms, 2017

• Analysis of centrality in sublinear preferential attachment trees via the Crump-Mode-Jagers branching process
  Varun Jog, Po-Ling Loh
  IEEE Transactions on Network Science and Engineering, 2016

• A geometric analysis of the AWGN channel with a -power constraint
  Varun Jog, Venkat Anantharam
  IEEE Transactions on Information Theory, 2016

• The entropy power inequality and Mrs. Gerber's lemma for groups of order
  Varun Jog, Venkat Anantharam
  IEEE Transactions on Information Theory, 2014

• An information inequality and evaluation of Marton's inner bound for binary input broadcast channels
  Yanlin Geng, Varun Jog, Chandra Nair, Vincent Zizhou Wang
  IEEE Transactions on Information Theory, 2013

Manuscripts

• Channels, Learning, Queueing and Remote Estimation Systems With A Utilization-Dependent Component
  Varun Jog, Richard J. La, and Nuno C. Martins
  May 2019