Varun S. Jog - RankMe

75 papers A* 5B 18C 1Misc 2Journal 46Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Simple Binary Hypothesis Testing Under Local Differential Privacy and Communication Constraints. IEEE Trans. Inf. Theory Ankit Pensia, Amir-Reza Asadi, Varun S. Jog, Po-Ling Loh
2025	A*	`conf`	The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints. COLT Hadi Kazemi, Ankit Pensia, Varun S. Jog
2025	J	`jnl`	The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints. CoRR Hadi Kazemi, Ankit Pensia, Varun S. Jog
2024	J	`jnl`	Communication-Constrained Hypothesis Testing: Optimality, Robustness, and Reverse Data Processing Inequalities. IEEE Trans. Inf. Theory Ankit Pensia, Varun S. Jog, Po-Ling Loh
2024	B	`conf`	On the Extreme Points of the (0, δ) - Differential Privacy Polytope. ISIT Karan Elangovan, Varun S. Jog
2024	J	`jnl`	The Many Faces of Adversarial Risk: An Expanded Study. IEEE Trans. Inf. Theory Muni Sreenivas Pydi, Varun S. Jog
2024	A*	`conf`	The Sample Complexity of Simple Binary Hypothesis Testing. COLT Ankit Pensia, Varun S. Jog, Po-Ling Loh
2024	J	`jnl`	The Sample Complexity of Simple Binary Hypothesis Testing. CoRR Ankit Pensia, Varun S. Jog, Po-Ling Loh
2023	A*	`conf`	Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints. COLT Ankit Pensia, Amir-Reza Asadi, Varun S. Jog, Po-Ling Loh
2023	J	`jnl`	Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints. CoRR Ankit Pensia, Amir-Reza Asadi, Varun S. Jog, Po-Ling Loh
2022	J	`jnl`	Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities. CoRR Ankit Pensia, Varun S. Jog, Po-Ling Loh
2022	B	`conf`	Simple Binary Hypothesis Testing under Communication Constraints. ISIT Ankit Pensia, Po-Ling Loh, Varun S. Jog
2022	J	`jnl`	The Many Faces of Adversarial Risk. CoRR Muni Sreenivas Pydi, Varun S. Jog
2022	J	`jnl`	Unifying the Brascamp-Lieb Inequality and the Entropy Power Inequality. IEEE Trans. Inf. Theory Venkat Anantharam, Varun S. Jog, Chandra Nair
2021	J	`jnl`	Adversarial Risk via Optimal Transport and Optimal Couplings. IEEE Trans. Inf. Theory Muni Sreenivas Pydi, Varun S. Jog
2021	J	`jnl`	Reverse Euclidean and Gaussian Isoperimetric Inequalities for Parallel Sets With Applications. IEEE Trans. Inf. Theory Varun S. Jog
2021	J	`jnl`	Robustifying Deep Networks for Medical Image Segmentation. J. Digit. Imaging Zheng Liu, Jinnian Zhang, Varun S. Jog, Po-Ling Loh, Alan B. McMillan
2021	J	`jnl`	Teaching and Learning in Uncertainty. IEEE Trans. Inf. Theory Varun S. Jog, Po-Ling Loh
2021	A*	`conf`	The Many Faces of Adversarial Risk. NeurIPS Muni Sreenivas Pydi, Varun S. Jog
2020	A*	`conf`	Adversarial Risk via Optimal Transport and Optimal Couplings. ICML Muni Sreenivas Pydi, Varun S. Jog
2020	J	`jnl`	Entropy and Information Inequalities. Entropy Varun S. Jog, James Melbourne
2020	J	`jnl`	Extracting Robust and Accurate Features via a Robust Information Bottleneck. IEEE J. Sel. Areas Inf. Theory Ankit Pensia, Varun S. Jog, Po-Ling Loh
2020	J	`jnl`	Reverse Lebesgue and Gaussian isoperimetric inequalities for parallel sets with applications. CoRR Varun S. Jog
2020	J	`jnl`	Robust regression with covariate filtering: Heavy tails and adversarial contamination. CoRR Ankit Pensia, Varun S. Jog, Po-Ling Loh
2019	B	`conf`	Adversarial Influence Maximization. ISIT Justin Khim, Varun S. Jog, Po-Ling Loh
2019	J	`jnl`	Adversarial Risk via Optimal Transport and Optimal Couplings. CoRR Muni Sreenivas Pydi, Varun S. Jog
2019	J	`jnl`	Channels, Learning, Queueing and Remote Estimation Systems With A Utilization-Dependent Component. CoRR Varun S. Jog, Richard J. La, Nuno C. Martins
2019	J	`jnl`	Dual Loomis-Whitney Inequalities via Information Theory. Entropy Jing Hao, Varun S. Jog
2019	B	`conf`	Dual Loomis-Whitney inequalities via information theory. ISIT Jing Hao, Varun S. Jog
2019	J	`jnl`	Dual Loomis-Whitney inequalities via information theory. CoRR Jing Hao, Varun S. Jog
2019	J	`jnl`	Estimating location parameters in entangled single-sample distributions. CoRR Ankit Pensia, Varun S. Jog, Po-Ling Loh
2019	J	`jnl`	Extracting robust and accurate features via a robust information bottleneck. CoRR Ankit Pensia, Varun S. Jog, Po-Ling Loh
2019	B	`conf`	Mean estimation for entangled single-sample distributions. ISIT Ankit Pensia, Varun S. Jog, Po-Ling Loh
2019	J	`jnl`	Robustifying deep networks for image segmentation. CoRR Zheng Liu, Jinnian Zhang, Varun S. Jog, Po-Ling Loh, Alan B. McMillan
2019	B	`conf`	Teaching and learning in uncertainty. ISIT Varun S. Jog
2019	J	`jnl`	Teaching and learning in uncertainty. CoRR Varun S. Jog
2019	B	`conf`	Unifying the Brascamp-Lieb Inequality and the Entropy Power Inequality. ISIT Venkat Anantharam, Varun S. Jog, Chandra Nair
2019	J	`jnl`	Unifying the Brascamp-Lieb Inequality and the Entropy Power Inequality. CoRR Venkat Anantharam, Varun S. Jog, Chandra Nair
2018	B	`conf`	An Entropy Inequality for Symmetric Random Variables. ISIT Jing Hao, Varun S. Jog
2018	J	`jnl`	An entropy inequality for symmetric random variables. CoRR Jing Hao, Varun S. Jog
2018	B	`conf`	Convexity of Mutual Information Along the Heat Flow. ISIT Andre Wibisono, Varun S. Jog
2018	C	`conf`	Convexity of mutual information along the Ornstein-Uhlenbeck flow. ISITA Andre Wibisono, Varun S. Jog
2018	J	`jnl`	Convexity of mutual information along the Ornstein-Uhlenbeck flow. CoRR Andre Wibisono, Varun S. Jog
2018	J	`jnl`	Convexity of mutual information along the heat flow. CoRR Andre Wibisono, Varun S. Jog
2018	B	`conf`	Generalization Error Bounds for Noisy, Iterative Algorithms. ISIT Ankit Pensia, Varun S. Jog, Po-Ling Loh
2018	J	`jnl`	Generalization Error Bounds for Noisy, Iterative Algorithms. CoRR Ankit Pensia, Varun S. Jog, Po-Ling Loh
2018	B	`conf`	Generalization error bounds using Wasserstein distances. ITW Adrian Tovar Lopez, Varun S. Jog
2018	—	`conf`	Graph-Based Ascent Algorithms for Function Maximization. Allerton Muni Sreenivas Pydi, Varun S. Jog, Po-Ling Loh
2018	J	`jnl`	Graph-Based Ascent Algorithms for Function Maximization. CoRR Muni Sreenivas Pydi, Varun S. Jog, Po-Ling Loh
2018	J	`jnl`	Intrinsic Entropies of Log-Concave Distributions. IEEE Trans. Inf. Theory Varun S. Jog, Venkat Anantharam
2018	J	`jnl`	Persistence of centrality in random growing trees. Random Struct. Algorithms Varun S. Jog, Po-Ling Loh
2017	B	`conf`	A convolution inequality for entropy over Z2. ISIT Varun S. Jog
2017	J	`jnl`	Analysis of Centrality in Sublinear Preferential Attachment Trees via the Crump-Mode-Jagers Branching Process. IEEE Trans. Netw. Sci. Eng. Varun S. Jog, Po-Ling Loh
2017	B	`conf`	Information and estimation in Fokker-Planck channels. ISIT Andre Wibisono, Varun S. Jog, Po-Ling Loh
2017	J	`jnl`	Information and estimation in Fokker-Planck channels. CoRR Andre Wibisono, Varun S. Jog, Po-Ling Loh
2017	J	`jnl`	Intrinsic entropies of log-concave distributions. CoRR Varun S. Jog, Venkat Anantharam
2016	J	`jnl`	A Geometric Analysis of the AWGN Channel With a (σ, ρ)-Power Constraint. IEEE Trans. Inf. Theory Varun S. Jog, Venkat Anantharam
2016	J	`jnl`	Analysis of centrality in sublinear preferential attachment trees via the CMJ branching process. CoRR Varun S. Jog, Po-Ling Loh
2016	J	`jnl`	Computationally Efficient Influence Maximization in Stochastic and Adversarial Models: Algorithms and Analysis. CoRR Justin Khim, Varun S. Jog, Po-Ling Loh
2016	—	`conf`	Computing and maximizing influence in linear threshold and triggering models. NIPS Justin T. Khim, Varun S. Jog, Po-Ling Loh
2015	J	`jnl`	A Geometric Analysis of the AWGN channel with a $(σ, ρ)$-Power Constraint. CoRR Varun S. Jog, Venkat Anantharam
2015	B	`conf`	A geometric analysis of the AWGN channel with a (σ, ρ)-power constraint. ISIT Varun S. Jog, Venkat Anantharam
2015	J	`jnl`	Information-theoretic bounds for exact recovery in weighted stochastic block models using the Renyi divergence. CoRR Varun S. Jog, Po-Ling Loh
2015	B	`conf`	On model misspecification and KL separation for Gaussian graphical models. ISIT Varun S. Jog, Po-Ling Loh
2015	J	`jnl`	On model misspecification and KL separation for Gaussian graphical models. CoRR Varun S. Jog, Po-Ling Loh
2015	B	`conf`	On the geometry of convex typical sets. ISIT Varun S. Jog, Venkat Anantharam
2015	J	`jnl`	Persistence of centrality in random growing trees. CoRR Varun S. Jog, Po-Ling Loh
2015	—	`conf`	Recovering communities in weighted stochastic block models. Allerton Varun S. Jog, Po-Ling Loh
2014	B	`conf`	An energy harvesting AWGN channel with a finite battery. ISIT Varun S. Jog, Venkat Anantharam
2014	Misc	`conf`	Convex relative entropy decay in Markov chains. CISS Varun S. Jog, Venkat Anantharam
2014	J	`jnl`	The Entropy Power Inequality and Mrs. Gerber's Lemma for Groups of Order 2 IEEE Trans. Inf. Theory Varun S. Jog, Venkat Anantharam
2013	J	`jnl`	An Information Inequality and Evaluation of Marton's Inner Bound for Binary Input Broadcast Channels. IEEE Trans. Inf. Theory Yanlin Geng, Varun S. Jog, Chandra Nair, Zizhou Vincent Wang
2013	B	`conf`	The Entropy Power Inequality and Mrs. Gerber's Lemma for groups of order 2 ISIT Varun S. Jog, Venkat Anantharam
2012	J	`jnl`	The Entropy Power Inequality and Mrs. Gerber's Lemma for Abelian Groups of Order 2^n CoRR Varun S. Jog, Venkat Anantharam
2010	Misc	`conf`	An information inequality for the BSSC broadcast channel. ITA Varun S. Jog, Chandra Nair