Varun Jog

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All published works

Action	Title	Year	Authors
+ PDF Chat	Robust regression with covariate filtering: Heavy tails and adversarial contamination	2024	Ankit Pensia Varun Jog Po‐Ling Loh
+ PDF Chat	The Sample Complexity of Simple Binary Hypothesis Testing	2024	Ankit Pensia Varun Jog Po‐Ling Loh
+ PDF Chat	Communication-Constrained Hypothesis Testing: Optimality, Robustness, and Reverse Data Processing Inequalities	2023	Ankit Pensia Varun Jog Po‐Ling Loh
+	Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints	2023	Ankit Pensia Amir R. Asadi Varun Jog Po‐Ling Loh
+	Unifying the Brascamp-Lieb Inequality and the Entropy Power Inequality	2022	Venkat Anantharam Varun Jog Chandra Nair
+	The Many Faces of Adversarial Risk	2022	Muni Sreenivas Pydi Varun Jog
+	Communication-constrained hypothesis testing: Optimality, robustness, and reverse data processing inequalities	2022	Ankit Pensia Varun Jog Po‐Ling Loh
+ PDF Chat	Reverse Euclidean and Gaussian Isoperimetric Inequalities for Parallel Sets With Applications	2021	Varun Jog
+	Adversarial Risk via Optimal Transport and Optimal Couplings	2021	Muni Sreenivas Pydi Varun Jog
+	Estimating location parameters in sample-heterogeneous distributions	2021	Ankit Pensia Varun Jog Po‐Ling Loh
+ PDF Chat	Teaching and Learning in Uncertainty	2020	Varun Jog Po‐Ling Loh
+	Reverse Euclidean and Gaussian isoperimetric inequalities for parallel sets with applications	2020	Varun Jog
+	Extracting Robust and Accurate Features via a Robust Information Bottleneck	2020	Ankit Pensia Varun Jog Po‐Ling Loh
+ PDF Chat	Optimal rates for community estimation in the weighted stochastic block model	2020	Min Xu Varun Jog Po‐Ling Loh
+	Robust regression with covariate filtering: Heavy tails and adversarial contamination	2020	Ankit Pensia Varun Jog Po‐Ling Loh
+	Reverse Euclidean and Gaussian isoperimetric inequalities for parallel sets with applications	2020	Varun Jog
+	Adversarial Risk via Optimal Transport and Optimal Couplings	2019	Muni Sreenivas Pydi Varun Jog
+	Extracting robust and accurate features via a robust information bottleneck.	2019	Ankit Pensia Varun Jog Po‐Ling Loh
+ PDF Chat	Dual Loomis-Whitney Inequalities via Information Theory	2019	Jing Hao Varun Jog
+ PDF Chat	Dual Loomis-Whitney inequalities via information theory	2019	Jing Hao Varun Jog
+ PDF Chat	Unifying the Brascamp-Lieb Inequality and the Entropy Power Inequality	2019	Venkat Anantharam Varun Jog Chandra Nair
+ PDF Chat	Teaching and learning in uncertainty	2019	Varun Jog
+	Mean estimation for entangled single-sample distributions	2019	Ankit Pensia Varun Jog Po‐Ling Loh
+ PDF Chat	Adversarial Influence Maximization	2019	Justin Khim Varun Jog Po‐Ling Loh
+	Channels, Learning, Queueing and Remote Estimation Systems With A Utilization-Dependent Component.	2019	Varun Jog Richard J. La Nuno C. Martins
+	Teaching and learning in uncertainty	2019	Varun Jog Po‐Ling Loh
+	Estimating location parameters in entangled single-sample distributions	2019	Ankit Pensia Varun Jog Po‐Ling Loh
+	Robustifying deep networks for image segmentation	2019	Zheng Liu Jinnian Zhang Varun Jog Po‐Ling Loh Alan B. McMillan
+	Channels, Remote Estimation and Queueing Systems With A Utilization-Dependent Component: A Unifying Survey Of Recent Results	2019	Varun Jog Richard J. La Michael Lin Nuno C. Martins
+	Adversarial Risk via Optimal Transport and Optimal Couplings	2019	Muni Sreenivas Pydi Varun Jog
+	Teaching and learning in uncertainty	2019	Varun Jog Po‐Ling Loh
+	Extracting robust and accurate features via a robust information bottleneck	2019	Ankit Pensia Varun Jog Po‐Ling Loh
+	Unifying the Brascamp-Lieb Inequality and the Entropy Power Inequality	2019	Venkat Anantharam Varun Jog Chandra Nair
+	Convexity of mutual information along the Ornstein-Uhlenbeck flow	2018	Andre Wibisono Varun Jog
+ PDF Chat	Convexity of mutual information along the Ornstein-Uhlenbeck flow	2018	Andre Wibisono Varun Jog
+ PDF Chat	Graph-Based Ascent Algorithms for Function Maximization	2018	Muni Sreenivas Pydi Varun Jog Po‐Ling Loh
+ PDF Chat	Generalization Error Bounds for Noisy, Iterative Algorithms	2018	Ankit Pensia Varun Jog Po‐Ling Loh
+ PDF Chat	Convexity of Mutual Information Along the Heat Flow	2018	Andre Wibisono Varun Jog
+ PDF Chat	An Entropy Inequality for Symmetric Random Variables	2018	Jing Hao Varun Jog
+	Convexity of mutual information along the Ornstein-Uhlenbeck flow	2018	Andre Wibisono Varun Jog
+	Graph-Based Ascent Algorithms for Function Maximization	2018	Muni Sreenivas Pydi Varun Jog Po‐Ling Loh
+	Convexity of mutual information along the heat flow	2018	Andre Wibisono Varun Jog
+	Generalization Error Bounds for Noisy, Iterative Algorithms	2018	Ankit Pensia Varun Jog Po‐Ling Loh
+	An entropy inequality for symmetric random variables	2018	Jing Hao Varun Jog
+	Convexity of mutual information along the heat flow	2018	Andre Wibisono Varun Jog
+	Generalization Error Bounds for Noisy, Iterative Algorithms	2018	Ankit Pensia Varun Jog Po‐Ling Loh
+	Graph-Based Ascent Algorithms for Function Maximization	2018	Muni Sreenivas Pydi Varun Jog Po‐Ling Loh
+	Convexity of mutual information along the Ornstein-Uhlenbeck flow	2018	Andre Wibisono Varun Jog
+	Intrinsic Entropies of Log-Concave Distributions	2017	Varun Jog Venkat Anantharam
+ PDF Chat	Persistence of centrality in random growing trees	2017	Varun Jog Po‐Ling Loh
+ PDF Chat	Information and estimation in Fokker-Planck channels	2017	Andre Wibisono Varun Jog Po‐Ling Loh
+	Information and estimation in Fokker-Planck channels	2017	Andre Wibisono Varun Jog Po‐Ling Loh
+	Intrinsic entropies of log-concave distributions	2017	Varun Jog Venkat Anantharam
+	Optimal Rates for Community Estimation in the Weighted Stochastic Block Model	2017	Min Xu Varun Jog Po‐Ling Loh
+	Information and estimation in Fokker-Planck channels	2017	Andre Wibisono Varun Jog Po‐Ling Loh
+	Intrinsic entropies of log-concave distributions	2017	Varun Jog Venkat Anantharam
+	Computationally Efficient Influence Maximization in Stochastic and Adversarial Models: Algorithms and Analysis.	2016	Justin Khim Varun Jog Po‐Ling Loh
+	Adversarial Influence Maximization	2016	Justin Khim Varun Jog Po‐Ling Loh
+	Analysis of Centrality in Sublinear Preferential Attachment Trees via the Crump-Mode-Jagers Branching Process	2016	Varun Jog Po‐Ling Loh
+	Computing and maximizing influence in linear threshold and triggering models	2016	Justin Khim Varun Jog Po‐Ling Loh
+	Adversarial Influence Maximization	2016	Justin Khim Varun Jog Po‐Ling Loh
+	Analysis of centrality in sublinear preferential attachment trees via the CMJ branching process	2016	Varun Jog Po‐Ling Loh
+	Persistence of centrality in random growing trees	2015	Varun Jog Po‐Ling Loh
+	Information-theoretic bounds for exact recovery in weighted stochastic block models using the Renyi divergence	2015	Varun Jog Po‐Ling Loh
+	On the geometry of convex typical sets	2015	Varun Jog Venkat Anantharam
+ PDF Chat	On model misspecification and KL separation for Gaussian graphical models	2015	Varun Jog Po‐Ling Loh
+	A Geometric Analysis of the AWGN channel with a $(\sigma, \rho)$-Power Constraint	2015	Varun Jog Venkat Anantharam
+	On model misspecification and KL separation for Gaussian graphical models	2015	Varun Jog Po‐Ling Loh
+	Convex geometric tools in information theory	2015	Varun Jog
+	Persistence of centrality in random growing trees	2015	Varun Jog Po‐Ling Loh
+	Information-theoretic bounds for exact recovery in weighted stochastic block models using the Renyi divergence	2015	Varun Jog Po‐Ling Loh
+	On model misspecification and KL separation for Gaussian graphical models	2015	Varun Jog Po‐Ling Loh
+	A Geometric Analysis of the AWGN channel with a $(σ, ρ)$-Power Constraint	2015	Varun Jog Venkat Anantharam
+	Convex relative entropy decay in Markov chains	2014	Varun Jog Venkat Anantharam
+ PDF Chat	An Information Inequality and Evaluation of Marton's Inner Bound for Binary Input Broadcast Channels	2013	Yanlin Geng Varun Jog Chandra Nair Z. V. Wang
+	The Entropy Power Inequality and Mrs. Gerber's Lemma for Abelian Groups of Order 2^n	2012	Varun Jog Venkat Anantharam
+	The Entropy Power Inequality and Mrs. Gerber's Lemma for Abelian Groups of Order 2^n	2012	Varun Jog Venkat Anantharam
+	An information inequality for the BSSC channel	2009	Varun Jog Chandra Nair

Common Coauthors

Coauthor	Papers Together
Po‐Ling Loh	42
Ankit Pensia	15
Venkat Anantharam	12
Andre Wibisono	10
Muni Sreenivas Pydi	7
Chandra Nair	5
Justin Khim	5
Jing Hao	4
Min Xu	2
Nuno C. Martins	2
Richard J. La	2
Amir R. Asadi	1
Z. V. Wang	1
Jinnian Zhang	1
Alan B. McMillan	1
Yanlin Geng	1
Zheng Liu	1
Michael Lin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A new entropy power inequality	1985	Max H. M. Costa	14
+ PDF Chat	Topics in Optimal Transportation	2003	Cédric Villani	8
+ PDF Chat	The Brunn-Minkowski inequality	2002	Richard J. Gardner	8
+	Convex Bodies: The Brunn–Minkowski Theory	1993	Rolf Schneider	8
+	Introduction to geometric probability	1998	Gian‐Carlo Rota	7
+ PDF Chat	Higher Order Derivatives in Costa’s Entropy Power Inequality	2015	Fan Cheng Yanlin Geng	6
+ PDF Chat	Generalized Entropy Power Inequalities and Monotonicity Properties of Information	2007	Mokshay Madiman Andrew R. Barron	6
+	A short proof of the "concavity of entropy power"	2000	Cédric Villani	6
+	Information theoretic inequalities	1991	Amir Dembo Thomas M. Cover J. Thomas	6
+	Estimates of Loomis–Whitney type for intrinsic volumes	2011	Stefano Campi Paolo Gronchi	6
+ PDF Chat	Information Theoretic Proofs of Entropy Power Inequalities	2010	Olivier Rioul	6
+ PDF Chat	Mutual Information and Minimum Mean-Square Error in Gaussian Channels	2005	Dongning Guo Shlomo Shamai Sergio Verdú	6
+ PDF Chat	Subadditivity of The Entropy and its Relation to Brascamp–Lieb Type Inequalities	2009	Eric A. Carlen Dario Cordero–Erausquin	5
+	Probability Theory and Combinatorial Optimization	1997	John Steele	5
+	Solution of Shannon’s problem on the monotonicity of entropy	2004	Shiri Artstein Keith Ball Franck Barthe Assaf Naor	4
+	Concentration inequalities : a non asymptotic theory of independence	2013	Stéphane Boucheron Gábor Lugosi Pascal Massart	4
+	Limitations of adversarial robustness: strong No Free Lunch Theorem.	2018	Elvis Dohmatob	4
+	Reverse Brunn–Minkowski and reverse entropy power inequalities for convex measures	2012	Sergey G. Bobkov Mokshay Madiman	4
+	On the similarity of the entropy power inequality and the Brunn- Minkowski inequality (Corresp.)	1984	Max H. M. Costa Thomas M. Cover	4
+	The Variational Formulation of the Fokker--Planck Equation	1998	Richard W. Jordan David Kinderlehrer Félix Otto	4
+	Superadditivity of Fisher's information and logarithmic Sobolev inequalities	1991	Eric A. Carlen	4
+	Intrinsic volumes and lattice points of crosspolytopes	1993	U. Betke Martin Henk	4
+ PDF Chat	The Brascamp–Lieb Inequalities: Finiteness, Structure and Extremals	2007	Jonathan Bennett Anthony Carbery Michael Christ Terence Tao	4
+	Inequalities between intrinsic volumes	1991	Peter McMullen	4
+ PDF Chat	Robust Estimation of a Location Parameter	1964	Peter J. Huber	4
+	Lower Bounds on Adversarial Robustness from Optimal Transport	2019	Arjun Nitin Bhagoji Daniel Cullina Prateek Mittal	4
+	Fundamentals of Convex Analysis	2001	Jean‐Baptiste Hiriart‐Urruty Claude Lemaréchal	3
+	A Rotation and a Translation Suffice: Fooling CNNs with Simple Transformations	2017	Logan Engstrom Brandon Tran Dimitris Tsipras Ludwig Schmidt Aleksander Mądry	3
+ PDF Chat	Information and estimation in Fokker-Planck channels	2017	Andre Wibisono Varun Jog Po‐Ling Loh	3
+ PDF Chat	Emergence of Scaling in Random Networks	1999	Albert‐László Barabási Réka Albert	3
+	Combinatorial Entropy Power Inequalities: A Preliminary Study of the Stam Region	2018	Mokshay Madiman Farhad Ghassemi	3
+	Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples	2018	Anish Athalye Nicholas Carlini David Wagner	3
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	3
+	Spectral partitioning of random graphs	2001	Frank McSherry	3
+ PDF Chat	Superposition Coding Is Almost Always Optimal for the Poisson Broadcast Channel	2016	Hyeji Kim Benjamin Nachman Abbas El Gamal	3
+	Probability: Theory and Examples.	1992	Kathryn Prewitt Richard Durrett	3
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Achieving Exact Cluster Recovery Threshold via Semidefinite Programming	2016	Bruce Hajek Yihong Wu Jiaming Xu	3
+	Convexity of mutual information along the Ornstein-Uhlenbeck flow	2018	Andre Wibisono Varun Jog	3
+ PDF Chat	The architecture of complex weighted networks	2004	Alain Barrat Marc Barthélemy Romualdo Pastor‐Satorras Alessandro Vespignani	3
+ PDF Chat	Rumors in a Network: Who's the Culprit?	2011	Devavrat Shah Tauhid Zaman	3
+ PDF Chat	A Characterization of the Multivariate Normal Distribution	1962	S. G. Ghurye Ingram Olkin	3
+ PDF Chat	Finding and evaluating community structure in networks	2004	Michelle G. Newman Michelle Girvan	3
+	A Weak Convergence Approach to the Theory of Large Deviations	1998	James Lynch Paul Dupuis Richard S. Ellis	3
+	Ballot Theorems, Old and New	2008	Louigi Addario‐Berry Bruce A. Reed	3
+	On a Problem of Adaptive Estimation in Gaussian White Noise	1991	O. V. Lepskii	3
+ PDF Chat	Analysis of weighted networks	2004	M. E. J. Newman	3
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	3
+ PDF Chat	A Survey of Statistical Network Models	2009	Anna Goldenberg	3
+	Cube Root Asymptotics	1990	Kim Jeankyung David Pollard	3