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Finding the Homology of Decision Boundaries with Active Learning

Nov 19, 2020
Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha

* Advances in Neural Information Processing Systems 33 (2020) 

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Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model

Jul 12, 2020
John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards, Philip Christensen, Suren Jayasuriya

* 36 pages, 11 figures. Accepted to European Conference on Computer Vision (ECCV) 2020 

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On the alpha-loss Landscape in the Logistic Model

Jun 22, 2020
Tyler Sypherd, Mario Diaz, Lalitha Sankar, Gautam Dasarathy

* 5 pages, appeared in ISIT 2020 

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On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems

Feb 04, 2020
Parth Thaker, Gautam Dasarathy, Angelia Nedić

* 21 pages 

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Regularization via Structural Label Smoothing

Jan 07, 2020
Weizhi Li, Gautam Dasarathy, Visar Berisha


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A Tunable Loss Function for Classification

Jun 26, 2019
Tyler Sypherd, Mario Diaz, Harshit Laddha, Lalitha Sankar, Peter Kairouz, Gautam Dasarathy

* Corrected email address 

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IdeoTrace: A Framework for Ideology Tracing with a Case Study on the 2016 U.S. Presidential Election

May 30, 2019
Indu Manickam, Andrew S. Lan, Gautam Dasarathy, Richard G. Baraniuk

* 9 pages, 4 figures, submitted to ASONAM 2019 

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Thresholding Graph Bandits with GrAPL

May 22, 2019
Daniel LeJeune, Gautam Dasarathy, Richard G. Baraniuk

* 15 pages, 3 figures 

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Multi-fidelity Gaussian Process Bandit Optimisation

Aug 04, 2018
Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff Schneider, Barnabas Poczos

* Preliminary version appeared at NIPS 2016 

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MISSION: Ultra Large-Scale Feature Selection using Count-Sketches

Jun 12, 2018
Amirali Aghazadeh, Ryan Spring, Daniel LeJeune, Gautam Dasarathy, Anshumali Shrivastava, Richard G. Baraniuk


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Coalescent-based species tree estimation: a stochastic Farris transform

Jul 13, 2017
Gautam Dasarathy, Elchanan Mossel, Robert Nowak, Sebastien Roch

* Submitted. 49 pages 

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DeepCodec: Adaptive Sensing and Recovery via Deep Convolutional Neural Networks

Jul 11, 2017
Ali Mousavi, Gautam Dasarathy, Richard G. Baraniuk


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Multi-fidelity Bayesian Optimisation with Continuous Approximations

Mar 18, 2017
Kirthevasan Kandasamy, Gautam Dasarathy, Jeff Schneider, Barnabas Poczos


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The Multi-fidelity Multi-armed Bandit

Oct 30, 2016
Kirthevasan Kandasamy, Gautam Dasarathy, Jeff Schneider, Barnabás Póczos

* To appear at NIPS 2016 

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Active Learning Algorithms for Graphical Model Selection

Apr 07, 2016
Gautam Dasarathy, Aarti Singh, Maria-Florina Balcan, Jong Hyuk Park

* 26 pages, 3 figures. Preliminary version to appear in AI & Statistics 2016 

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S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification

Jun 29, 2015
Gautam Dasarathy, Robert Nowak, Xiaojin Zhu

* A version of this paper appears in the Conference on Learning Theory (COLT) 2015 

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Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method

Jun 30, 2014
Gautam Dasarathy, Robert Nowak, Sebastien Roch

* 19 pages, 2 figures. Preliminary version to appear in IEEE ISIT 2014. Added acknowledgements and made the proof of the "equality" part of Theorem 3 explicit in Appendix C 

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Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities

Feb 18, 2011
Brian Eriksson, Gautam Dasarathy, Aarti Singh, Robert Nowak


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