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Joydeep Ghosh

MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series

Dec 22, 2021
Xing Han, Jing Hu, Joydeep Ghosh

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* 41 pages, 13 figures, 20 tables

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Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection

Dec 13, 2021
Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh

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Biomedical Interpretable Entity Representations

Jun 17, 2021
Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney

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* Accepted into Findings of ACL-IJCNLP 2021

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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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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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