Joydeep Ghosh

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 Rätsch

* 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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Joydeep Ghosh

Explainable Machine Learning in Deployment

Vehicular Multi-object Tracking with Persistent Detector Failures

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

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

On Single Source Robustness in Deep Fusion Models

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

Explaining Deep Classification of Time-Series Data with Learned Prototypes

Interpreting Black Box Predictions using Fisher Kernels

PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization

xGEMs: Generating Examplars to Explain Black-Box Models

Measurement-wise Occlusion in Multi-object Tracking

Boosting Variational Inference: an Optimization Perspective

Nonparametric Bayesian Sparse Graph Linear Dynamical Systems

Relaxed Oracles for Semi-Supervised Clustering

Semi-Supervised Active Clustering with Weak Oracles

Optimal Alarms for Vehicular Collision Detection

Scalable Greedy Feature Selection via Weak Submodularity

Graphical RNN Models

Preference Completion from Partial Rankings

Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization

Information Projection and Approximate Inference for Structured Sparse Variables

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

Generalized Linear Models for Aggregated Data

Monotone Retargeting for Unsupervised Rank Aggregation with Object Features

Unified View of Matrix Completion under General Structural Constraints

Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices

Exponential Family Matrix Completion under Structural Constraints

A Constrained Matrix-Variate Gaussian Process for Transposable Data

Perturbed Gibbs Samplers for Synthetic Data Release

Constrained Bayesian Inference for Low Rank Multitask Learning