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papers

Publications (39)

stat.ML2017

Semi-Supervised Active Clustering with Weak Oracles

Taewan Kim, Joydeep Ghosh

stat.AP2016

Phenotyping using Structured Collective Matrix Factorization of Multi--source EHR Data

Suriya Gunasekar, Joyce C. Ho, Joydeep Ghosh +5

stat.ML2016

Preference Completion from Partial Rankings

Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh

stat.ML2016

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

Yubin Park, Joyce Ho, Joydeep Ghosh

stat.ML2017

Optimal Alarms for Vehicular Collision Detection

Michael Motro, Joydeep Ghosh, Chandra Bhat

stat.ML2014

A Constrained Matrix-Variate Gaussian Process for Transposable Data

Oluwasanmi Koyejo, Cheng Lee, Joydeep Ghosh

cs.LG2019

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

Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk +2

cs.IR2019

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

Dany Haddad, Joydeep Ghosh

cs.CL2012

Dating Texts without Explicit Temporal Cues

Abhimanu Kumar, Jason Baldridge, Matthew Lease +1

cs.AR2014

EPIC: Efficient prediction of IC manufacturing hotspots with a unified meta-classification formulation

Duo Ding, Bei Yu, Joydeep Ghosh +1

stat.AP2013

Risk Prediction of a Multiple Sclerosis Diagnosis

Joyce C. Ho, Joydeep Ghosh, KP Unnikrishnan

cs.LG1999

Robust Combining of Disparate Classifiers through Order Statistics

Kagan Tumer, Joydeep Ghosh

cs.LG2018

Interpreting Black Box Predictions using Fisher Kernels

Rajiv Khanna, Been Kim, Joydeep Ghosh +1

cs.LG2018

PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization

Jette Henderson, Bradley A. Malin, Joyce C. Ho +1

stat.ML2013

Perturbed Gibbs Samplers for Synthetic Data Release

Yubin Park, Joydeep Ghosh

stat.ML2018

Unified View of Matrix Completion under General Structural Constraints

Suriya Gunasekar, Arindam Banerjee, Joydeep Ghosh

stat.AP2015

DPM: A State Space Model for Large-Scale Direct Marketing

Yubin Park, Rajiv Khanna, Joydeep Ghosh +1

cs.NE2016

Graphical RNN Models

Ashish Bora, Sugato Basu, Joydeep Ghosh

stat.ML2016

Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization

Shalmali Joshi, Suriya Gunasekar, David Sontag +1

stat.ML2016

Information Projection and Approximate Inference for Structured Sparse Variables

Rajiv Khanna, Joydeep Ghosh, Russell Poldrack +1

cs.LG2012

Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning

Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh +2

cs.LG2012

Learning to Rank With Bregman Divergences and Monotone Retargeting

Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh

cs.LG2013

The trace norm constrained matrix-variate Gaussian process for multitask bipartite ranking

Oluwasanmi Koyejo, Cheng Lee, Joydeep Ghosh

stat.ML2018

Nonparametric Bayesian Sparse Graph Linear Dynamical Systems

Rahi Kalantari, Joydeep Ghosh, Mingyuan Zhou

stat.ML2017

Scalable Greedy Feature Selection via Weak Submodularity

Rajiv Khanna, Ethan Elenberg, Alexandros G. Dimakis +2

stat.ML2016

Monotone Retargeting for Unsupervised Rank Aggregation with Object Features

Avradeep Bhowmik, Joydeep Ghosh

stat.ML2017

Relaxed Oracles for Semi-Supervised Clustering

Taewan Kim, Joydeep Ghosh

stat.ML2015

Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices

Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou

cs.LG2018

Boosting Variational Inference: an Optimization Perspective

Francesco Locatello, Rajiv Khanna, Joydeep Ghosh +1

cs.CV2018

Measurement-wise Occlusion in Multi-object Tracking

Michael Motro, Joydeep Ghosh

cs.LG2012

An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers

Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh +1

cs.NE1999

Linear and Order Statistics Combiners for Pattern Classification

Kagan Tumer, Joydeep Ghosh

eess.SP2019

Scaling Data Association for Hypothesis-Oriented MHT

Michael Motro, Joydeep Ghosh

cs.NE1999

Ensembles of Radial Basis Function Networks for Spectroscopic Detection of Cervical Pre-Cancer

Kagan Tumer, Nirmala Ramanujam, Joydeep Ghosh +1

cs.LG2012

A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles

Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh

cs.LG2013

Constrained Bayesian Inference for Low Rank Multitask Learning

Oluwasanmi Koyejo, Joydeep Ghosh

stat.ML2015

Exponential Family Matrix Completion under Structural Constraints

Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh

cs.LG2018

xGEMs: Generating Examplars to Explain Black-Box Models

Shalmali Joshi, Oluwasanmi Koyejo, Been Kim +1

stat.ML2016

Generalized Linear Models for Aggregated Data

Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo