An information inequality for the BSSC broadcast channel. - Varun S. Jog; Chandra Nair (ITA, 2010)

The Entropy Power Inequality and Mrs. Gerber's Lemma for Abelian Groups of Order 2^n - Varun S. Jog; Venkat Anantharam (CoRR, 2012)

An Information Inequality and Evaluation of Marton's Inner Bound for Binary Input Broadcast Channels. - Yanlin Geng; Varun S. Jog; Chandra Nair; Zizhou Vincent Wang (IEEE Trans. Inf. Theory, 2013)

Convex relative entropy decay in Markov chains. - Varun S. Jog; Venkat Anantharam (CISS, 2014)

An energy harvesting AWGN channel with a finite battery. - Varun S. Jog; Venkat Anantharam (ISIT, 2014)

The Entropy Power Inequality and Mrs. Gerber's Lemma for Groups of Order 2n. - Varun S. Jog; Venkat Anantharam (IEEE Trans. Inf. Theory, 2014)

Recovering communities in weighted stochastic block models. - Varun S. Jog; Po-Ling Loh (Allerton, 2015)

On the geometry of convex typical sets. - Varun S. Jog; Venkat Anantharam (ISIT, 2015)

On model misspecification and KL separation for Gaussian graphical models. - Varun S. Jog; Po-Ling Loh (ISIT, 2015)

Information-theoretic bounds for exact recovery in weighted stochastic block models using the Renyi divergence. - Varun S. Jog; Po-Ling Loh (CoRR, 2015)

Convex geometric tools in information theory. - Varun Suhas Jog (2015)

Computing and maximizing influence in linear threshold and triggering models. - Justin T. Khim; Varun S. Jog; Po-Ling Loh (NIPS, 2016)

Analysis of centrality in sublinear preferential attachment trees via the CMJ branching process. - Varun S. Jog; Po-Ling Loh (CoRR, 2016)

Computationally Efficient Influence Maximization in Stochastic and Adversarial Models: Algorithms and Analysis. - Justin Khim; Varun S. Jog; Po-Ling Loh (CoRR, 2016)

A Geometric Analysis of the AWGN Channel With a (σ, ρ)-Power Constraint. - Varun S. Jog; Venkat Anantharam (IEEE Trans. Inf. Theory, 2016)

A convolution inequality for entropy over Z2. - Varun S. Jog (ISIT, 2017)

Information and estimation in Fokker-Planck channels. - Andre Wibisono; Varun S. Jog; Po-Ling Loh (ISIT, 2017)

Analysis of Centrality in Sublinear Preferential Attachment Trees via the Crump-Mode-Jagers Branching Process. - Varun S. Jog; Po-Ling Loh (IEEE Trans. Netw. Sci. Eng., 2017)

Graph-Based Ascent Algorithms for Function Maximization. - Muni Sreenivas Pydi; Varun S. Jog; Po-Ling Loh (Allerton, 2018)

An Entropy Inequality for Symmetric Random Variables. - Jing Hao; Varun S. Jog (ISIT, 2018)

Generalization Error Bounds for Noisy, Iterative Algorithms. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (ISIT, 2018)

Convexity of Mutual Information Along the Heat Flow. - Andre Wibisono; Varun S. Jog (ISIT, 2018)

Convexity of mutual information along the Ornstein-Uhlenbeck flow. - Andre Wibisono; Varun S. Jog (ISITA, 2018)

Generalization error bounds using Wasserstein distances. - Adrian Tovar Lopez; Varun S. Jog (ITW, 2018)

Persistence of centrality in random growing trees. - Varun S. Jog; Po-Ling Loh (Random Struct. Algorithms, 2018)

Intrinsic Entropies of Log-Concave Distributions. - Varun S. Jog; Venkat Anantharam (IEEE Trans. Inf. Theory, 2018)

Teaching and learning in uncertainty. - Varun S. Jog (ISIT, 2019)

Adversarial Influence Maximization. - Justin Khim; Varun S. Jog; Po-Ling Loh (ISIT, 2019)

Mean estimation for entangled single-sample distributions. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (ISIT, 2019)

Channels, Learning, Queueing and Remote Estimation Systems With A Utilization-Dependent Component. - Varun S. Jog; Richard J. La; Nuno C. Martins (CoRR, 2019)

Estimating location parameters in entangled single-sample distributions. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (CoRR, 2019)

Robustifying deep networks for image segmentation. - Zheng Liu; Jinnian Zhang; Varun S. Jog; Po-Ling Loh; Alan B. McMillan (CoRR, 2019)

Dual Loomis-Whitney Inequalities via Information Theory. - Jing Hao; Varun S. Jog (Entropy, 2019)

Reverse Lebesgue and Gaussian isoperimetric inequalities for parallel sets with applications. - Varun S. Jog (CoRR, 2020)

Robust regression with covariate filtering: Heavy tails and adversarial contamination. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (CoRR, 2020)

Entropy and Information Inequalities. - Varun S. Jog; James Melbourne (Entropy, 2020)

Extracting Robust and Accurate Features via a Robust Information Bottleneck. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (IEEE J. Sel. Areas Inf. Theory, 2020)

The Many Faces of Adversarial Risk. - Muni Sreenivas Pydi; Varun S. Jog (NeurIPS, 2021)

Robustifying Deep Networks for Medical Image Segmentation. - Zheng Liu; Jinnian Zhang; Varun S. Jog; Po-Ling Loh; Alan B. McMillan (J. Digit. Imaging, 2021)

Reverse Euclidean and Gaussian Isoperimetric Inequalities for Parallel Sets With Applications. - Varun S. Jog (IEEE Trans. Inf. Theory, 2021)

Teaching and Learning in Uncertainty. - Varun S. Jog; Po-Ling Loh (IEEE Trans. Inf. Theory, 2021)

Adversarial Risk via Optimal Transport and Optimal Couplings. - Muni Sreenivas Pydi; Varun S. Jog (IEEE Trans. Inf. Theory, 2021)

Simple Binary Hypothesis Testing under Communication Constraints. - Ankit Pensia; Po-Ling Loh; Varun S. Jog (ISIT, 2022)

Unifying the Brascamp-Lieb Inequality and the Entropy Power Inequality. - Venkat Anantharam; Varun S. Jog; Chandra Nair (IEEE Trans. Inf. Theory, 2022)

The Sample Complexity of Simple Binary Hypothesis Testing. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (COLT, 2024)

On the Extreme Points of the (0, δ) - Differential Privacy Polytope. - Karan Elangovan; Varun S. Jog (ISIT, 2024)

Communication-Constrained Hypothesis Testing: Optimality, Robustness, and Reverse Data Processing Inequalities. - Ankit Pensia; Varun S. Jog; Po-Ling Loh (IEEE Trans. Inf. Theory, 2024)

The Many Faces of Adversarial Risk: An Expanded Study. - Muni Sreenivas Pydi; Varun S. Jog (IEEE Trans. Inf. Theory, 2024)

The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints. - Hadi Kazemi; Ankit Pensia; Varun S. Jog (COLT, 2025)

Simple Binary Hypothesis Testing Under Local Differential Privacy and Communication Constraints. - Ankit Pensia; Amir-Reza Asadi; Varun S. Jog; Po-Ling Loh (IEEE Trans. Inf. Theory, 2025)