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Joydeep Ghosh

Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series


Feb 25, 2021
Xing Han, Sambarta Dasgupta, Joydeep Ghosh

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Biased Models Have Biased Explanations


Dec 20, 2020
Aditya Jain, Manish Ravula, Joydeep Ghosh

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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

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* 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

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* 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

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* 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 Rätsch

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* AISTATS 2018 
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Nonparametric Bayesian Sparse Graph Linear Dynamical Systems


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

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* AISTATS 2018 
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Relaxed Oracles for Semi-Supervised Clustering


Nov 20, 2017
Taewan Kim, Joydeep Ghosh

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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

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* 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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