Potential Conditional Mutual Information: Estimators, Properties and Applications

Oct 13, 2017

Arman Rahimzamani, Sreeram Kannan

Oct 13, 2017

Arman Rahimzamani, Sreeram Kannan

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Estimating Mutual Information for Discrete-Continuous Mixtures

Oct 09, 2018

Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

Oct 09, 2018

Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

* 25 pages, 3 figures. Part of this paper appears in the Conference on Neural Information Processing Systems (NIPS), 2017

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ClusterGAN : Latent Space Clustering in Generative Adversarial Networks

Sep 10, 2018

Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan

Sep 10, 2018

Sudipto Mukherjee, Himanshu Asnani, Eugene Lin, Sreeram Kannan

* GANs, Clustering, Latent Space, Interpolation

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Deceiving Google's Perspective API Built for Detecting Toxic Comments

Feb 27, 2017

Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran

Feb 27, 2017

Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran

* 4 pages

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Learning Temporal Dependence from Time-Series Data with Latent Variables

Aug 27, 2016

Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran

Aug 27, 2016

Hossein Hosseini, Sreeram Kannan, Baosen Zhang, Radha Poovendran

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Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications

Jun 02, 2016

Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

Jun 02, 2016

Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

* 43 pages, 3 figures

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Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms

Oct 09, 2018

Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath

Oct 09, 2018

Ashok Vardhan Makkuva, Sewoong Oh, Sreeram Kannan, Pramod Viswanath

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Deepcode: Feedback Codes via Deep Learning

Jul 02, 2018

Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

Jul 02, 2018

Hyeji Kim, Yihan Jiang, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

* 24 pages, 20 figures

**Click to Read Paper**

Mimic and Classify : A meta-algorithm for Conditional Independence Testing

Jun 25, 2018

Rajat Sen, Karthikeyan Shanmugam, Himanshu Asnani, Arman Rahimzamani, Sreeram Kannan

Jun 25, 2018

Rajat Sen, Karthikeyan Shanmugam, Himanshu Asnani, Arman Rahimzamani, Sreeram Kannan

* 16 pages, 2 figures

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Discovering Potential Correlations via Hypercontractivity

Nov 13, 2017

Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

Discovering a correlation from one variable to another variable is of fundamental scientific and practical interest. While existing correlation measures are suitable for discovering average correlation, they fail to discover hidden or potential correlations. To bridge this gap, (i) we postulate a set of natural axioms that we expect a measure of potential correlation to satisfy; (ii) we show that the rate of information bottleneck, i.e., the hypercontractivity coefficient, satisfies all the proposed axioms; (iii) we provide a novel estimator to estimate the hypercontractivity coefficient from samples; and (iv) we provide numerical experiments demonstrating that this proposed estimator discovers potential correlations among various indicators of WHO datasets, is robust in discovering gene interactions from gene expression time series data, and is statistically more powerful than the estimators for other correlation measures in binary hypothesis testing of canonical examples of potential correlations.
Nov 13, 2017

Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

* 30 pages, 19 figures, accepted for publication in the 31st Conference on Neural Information Processing Systems (NIPS 2017)

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Blocking Transferability of Adversarial Examples in Black-Box Learning Systems

Mar 13, 2017

Hossein Hosseini, Yize Chen, Sreeram Kannan, Baosen Zhang, Radha Poovendran

Mar 13, 2017

Hossein Hosseini, Yize Chen, Sreeram Kannan, Baosen Zhang, Radha Poovendran

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LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks

Nov 30, 2018

Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

Nov 30, 2018

Yihan Jiang, Hyeji Kim, Himanshu Asnani, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

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Communication Algorithms via Deep Learning

May 23, 2018

Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

May 23, 2018

Hyeji Kim, Yihan Jiang, Ranvir Rana, Sreeram Kannan, Sewoong Oh, Pramod Viswanath

* 19 pages, published as a conference paper at ICLR 2018

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