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FaiR-N: Fair and Robust Neural Networks for Structured Data

Oct 13, 2020
Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh


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Explainable Machine Learning in Deployment

Sep 13, 2019
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley


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Vehicular Multi-object Tracking with Persistent Detector Failures

Jul 25, 2019
Michael Motro, Joydeep Ghosh


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Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

Jul 22, 2019
Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk, Been Kim, Joydeep Ghosh


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Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval

Jul 19, 2019
Dany Haddad, Joydeep Ghosh

* SIGIR 2019 

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On Single Source Robustness in Deep Fusion Models

Jun 11, 2019
Taewan Kim, Joydeep Ghosh


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CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models

May 20, 2019
Shubham Sharma, Jette Henderson, Joydeep Ghosh


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Explaining Deep Classification of Time-Series Data with Learned Prototypes

Apr 18, 2019
Alan H. Gee, Diego Garcia-Olano, Joydeep Ghosh, David Paydarfar

* The first two authors contributed equally, 16 pages, 12 figures, latex, preprint 

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Interpreting Black Box Predictions using Fisher Kernels

Oct 23, 2018
Rajiv Khanna, Been Kim, Joydeep Ghosh, Oluwasanmi Koyejo


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PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization

Aug 08, 2018
Jette Henderson, Bradley A. Malin, Joyce C. Ho, Joydeep Ghosh


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xGEMs: Generating Examplars to Explain Black-Box Models

Jun 22, 2018
Shalmali Joshi, Oluwasanmi Koyejo, Been Kim, Joydeep Ghosh


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Measurement-wise Occlusion in Multi-object Tracking

May 21, 2018
Michael Motro, Joydeep Ghosh

* presenting at 21st International Conference on Information Fusion, 2018 

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Boosting Variational Inference: an Optimization Perspective

Mar 07, 2018
Francesco Locatello, Rajiv Khanna, Joydeep Ghosh, Gunnar RĂ€tsch

* AISTATS 2018 

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Nonparametric Bayesian Sparse Graph Linear Dynamical Systems

Feb 21, 2018
Rahi Kalantari, Joydeep Ghosh, Mingyuan Zhou

* AISTATS 2018 

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Relaxed Oracles for Semi-Supervised Clustering

Nov 20, 2017
Taewan Kim, Joydeep Ghosh

* NIPS 2017 Workshop: Learning with Limited Labeled Data (LLD 2017) 

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Semi-Supervised Active Clustering with Weak Oracles

Sep 11, 2017
Taewan Kim, Joydeep Ghosh


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Optimal Alarms for Vehicular Collision Detection

Aug 16, 2017
Michael Motro, Joydeep Ghosh, Chandra Bhat


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Scalable Greedy Feature Selection via Weak Submodularity

Mar 08, 2017
Rajiv Khanna, Ethan Elenberg, Alexandros G. Dimakis, Sahand Negahban, Joydeep Ghosh

* To appear in AISTATS 2017 

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Graphical RNN Models

Dec 15, 2016
Ashish Bora, Sugato Basu, Joydeep Ghosh


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Preference Completion from Partial Rankings

Nov 14, 2016
Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh

* NIPS 2016 

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Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization

Sep 20, 2016
Shalmali Joshi, Suriya Gunasekar, David Sontag, Joydeep Ghosh

* Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA 

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Information Projection and Approximate Inference for Structured Sparse Variables

Jul 12, 2016
Rajiv Khanna, Joydeep Ghosh, Russell Poldrack, Oluwasanmi Koyejo


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ACDC: $α$-Carving Decision Chain for Risk Stratification

Jun 16, 2016
Yubin Park, Joyce Ho, Joydeep Ghosh

* presented at 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), New York, NY 

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Generalized Linear Models for Aggregated Data

May 14, 2016
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo

* AISTATS 2015, 9 pages, 6 figures 

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Monotone Retargeting for Unsupervised Rank Aggregation with Object Features

May 14, 2016
Avradeep Bhowmik, Joydeep Ghosh

* 15 pages, 2 figures, 1 table 

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Unified View of Matrix Completion under General Structural Constraints

Mar 29, 2016
Suriya Gunasekar, Arindam Banerjee, Joydeep Ghosh

* published in NIPS 2015. Advances in Neural Information Processing Systems 28, 2015 

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Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices

Dec 30, 2015
Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou

* Appeared in Artificial Intelligence and Statistics (AISTATS), May 2015. The ArXiv version fixes a typo in (8), the equation right above Section 3.2 in Page 4 of http://www.jmlr.org/proceedings/papers/v38/acharya15.pdf 

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Exponential Family Matrix Completion under Structural Constraints

Sep 15, 2015
Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh

* Gunasekar, Suriya, Pradeep Ravikumar, and Joydeep Ghosh. "Exponential family matrix completion under structural constraints". Proceedings of The 31st International Conference on Machine Learning, pp. 1917-1925, 2014 
* 20 pages, 9 figures 

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A Constrained Matrix-Variate Gaussian Process for Transposable Data

Apr 27, 2014
Oluwasanmi Koyejo, Cheng Lee, Joydeep Ghosh

* 23 pages, Preliminary version, Accepted for publication in Machine Learning 

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Perturbed Gibbs Samplers for Synthetic Data Release

Dec 18, 2013
Yubin Park, Joydeep Ghosh


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