| 2026 | WWW | LLM Reasoning for Cold-Start Item Recommendation. | Shijun Li, Yu Wang, Jin Wang, Ying Li, Joydeep Ghosh, Anne Cocos |
| 2023 | IJCAI | FEAMOE: Fair, Explainable and Adaptive Mixture of Experts. | Shubham Sharma, Jette Henderson, Joydeep Ghosh |
| 2023 | IJCNN | A Novel Control-Variates Approach for Performative Gradient-Based Learners with Missing Data. | Xing Han, Jing Hu, Joydeep Ghosh |
| 2022 | ICDM | Dynamic Combination of Heterogeneous Models for Hierarchical Time Series. | Xing Han, Jing Hu, Joydeep Ghosh |
| 2022 | ICML | Architecture Agnostic Federated Learning for Neural Networks. | Disha Makhija, Xing Han, Nhat Ho, Joydeep Ghosh |
| 2022 | WWW | Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection. | Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh |
| 2021 | ACL | Biomedical Interpretable Entity Representations. | Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney |
| 2021 | AIES | FaiR-N: Fair and Robust Neural Networks for Structured Data. | Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh |
| 2021 | AISTATS | Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series. | Xing Han, Sambarta Dasgupta, Joydeep Ghosh |
| 2021 | IJCNN | Model-Agnostic Explanations using Minimal Forcing Subsets. | Xing Han, Joydeep Ghosh |
| 2020 | AIES | CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models. | Shubham Sharma, Jette Henderson, Joydeep Ghosh |
| 2020 | IJCAI | Certifai: A Toolkit for Building Trust in AI Systems. | Jette Henderson, Shubham Sharma, Alan H. Gee, Valeri Alexiev, Steve Draper, Carlos Marin, Yessel Hinojosa, Christine Draper, Michael Perng, Luis Aguirre, Michael Li, Sara Rouhani, Shorya Consul, Susan Michalski, Akarsh Prasad, Mayank Chutani, Aditya Kumar, Shahzad Alam, Prajna Kandarpa, Binnu Jesudasan, Colton Lee, Michael Criscolo, Sinead Williamson, Matt Sanchez, Joydeep Ghosh |
| 2019 | AISTATS | Interpreting Black Box Predictions using Fisher Kernels. | Rajiv Khanna, Been Kim, Joydeep Ghosh, Sanmi Koyejo |
| 2019 | FUSION | Scaling Data Association for Hypothesis-Oriented MHT. | Michael Motro, Joydeep Ghosh |
| 2019 | IJCAI | Explaining Deep Classification of Time-Series Data with Learned Prototypes. | Alan H. Gee, Diego Garcia-Olano, Joydeep Ghosh, David Paydarfar |
| 2019 | SIGIR | Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval. | Dany Haddad, Joydeep Ghosh |
| 2019 | SDM | CP Tensor Decomposition with Cannot-Link Intermode Constraints. | Jette Henderson, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Jimeng Sun, Joydeep Ghosh, Joyce C. Ho |
| 2018 | AISTATS | Nonparametric Bayesian sparse graph linear dynamical systems. | Rahi Kalantari, Joydeep Ghosh, Mingyuan Zhou |
| 2018 | AISTATS | Boosting Variational Inference: an Optimization Perspective. | Francesco Locatello, Rajiv Khanna, Joydeep Ghosh, Gunnar Rtsch |
| 2018 | AMIA | Phenotyping through Semi-Supervised Tensor Factorization (PSST). | Jette Henderson, Huan He, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Joydeep Ghosh, Joyce C. Ho |
| 2018 | FUSION | Measurement-Wise Occlusion in Multi-Object Tracking. | Michael Motro, Joydeep Ghosh |
| 2018 | INISTA | Non-parametric Discovery of Topics and Communities in Distributed and Streaming Environments. | Dean Teffer, Joydeep Ghosh |
| 2018 | IGARSS | Fully Supervised Non-Negative Matrix Factorization for Feature Extraction. | Woody Austin, Dylan Anderson, Joydeep Ghosh |
| 2018 | KDD | A Dual Markov Chain Topic Model for Dynamic Environments. | Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou |
| 2018 | SDM | Co-regularized Monotone Retargeting for Semi-supervised LeTOR. | Shalmali Joshi, Rajiv Khanna, Joydeep Ghosh |
| 2017 | AISTATS | Frequency Domain Predictive Modelling with Aggregated Data. | Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo |
| 2017 | AISTATS | Scalable Greedy Feature Selection via Weak Submodularity. | Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh |
| 2017 | AISTATS | Information Projection and Approximate Inference for Structured Sparse Variables. | Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo |
| 2017 | AMIA | Computational Phenotyping on Diverse Data Sources. | Jimeng Sun, Bradley A. Malin, Abel N. Kho, Mark W. Craven, Joydeep Ghosh |
| 2017 | ICML | On Approximation Guarantees for Greedy Low Rank Optimization. | Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Joydeep Ghosh, Sahand N. Negahban |
| 2017 | WWW | LETOR Methods for Unsupervised Rank Aggregation. | Avradeep Bhowmik, Joydeep Ghosh |
| 2017 | SDM | A Deflation Method for Structured Probabilistic PCA. | Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo |
| 2016 | AMIA | Evaluating Differences Between MIMIC II and III Critical Care Databases. | Matias I. Hurtado, Jette Henderson, Joydeep Ghosh |
| 2016 | ICML | Sparse Parameter Recovery from Aggregated Data. | Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo |
| 2015 | AISTATS | Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices. | Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou |
| 2015 | AISTATS | Parameter Estimation of Generalized Linear Models without Assuming their Link Function. | Sreangsu Acharyya, Joydeep Ghosh |
| 2015 | AISTATS | Generalized Linear Models for Aggregated Data. | Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo |
| 2015 | AISTATS | Sparse Submodular Probabilistic PCA. | Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo |
| 2015 | ICDM | Nonparametric Poisson Factorization Machine. | Avijit Saha, Ayan Acharya, Balaraman Ravindran, Joydeep Ghosh |
| 2015 | KDD | Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics. | Yichen Wang, Robert Chen, Joydeep Ghosh, Joshua C. Denny, Abel N. Kho, You Chen, Bradley A. Malin, Jimeng Sun |
| 2014 | AISTATS | LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series. | Yubin Park, Carlos Carvalho, Joydeep Ghosh |
| 2014 | ICDE | Graph databases for large-scale healthcare systems: A framework for efficient data management and data services. | Yubin Park, Mallikarjun Shankar, Byung-Hoon Park, Joydeep Ghosh |
| 2014 | ICML | Exponential Family Matrix Completion under Structural Constraints. | Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh |
| 2014 | KDD | Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization. | Joyce C. Ho, Joydeep Ghosh, Jimeng Sun |
| 2014 | KDD | LUDIA: an aggregate-constrained low-rank reconstruction algorithm to leverage publicly released health data. | Yubin Park, Joydeep Ghosh |
| 2014 | UAI | MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking. | Sreangsu Acharyya, Joydeep Ghosh |
| 2014 | SDM | Active Multitask Learning Using Both Latent and Supervised Shared Topics. | Ayan Acharya, Raymond J. Mooney, Joydeep Ghosh |
| 2013 | AISTATS | DYNACARE: Dynamic Cardiac Arrest Risk Estimation. | Joyce C. Ho, Yubin Park, Carlos Carvalho, Joydeep Ghosh |
| 2013 | AISTATS | Bayesian Structure Learning for Functional Neuroimaging. | Mijung Park, Oluwasanmi Koyejo, Joydeep Ghosh, Russell A. Poldrack, Jonathan W. Pillow |
| 2013 | ICDM | Constrained Gaussian Process Regression for Gene-Disease Association. | Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh |
| 2013 | RecSys | Retargeted matrix factorization for collaborative filtering. | Oluwasanmi Koyejo, Sreangsu Acharyya, Joydeep Ghosh |
| 2013 | UAI | Constrained Bayesian Inference for Low Rank Multitask Learning. | Oluwasanmi Koyejo, Joydeep Ghosh |
| 2013 | SDM | Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning. | Ayan Acharya, Joydeep Ghosh, Eduardo R. Hruschka, Jean-David Ruvini, Badrul Sarwar |
| 2012 | ASPDAC | EPIC: Efficient prediction of IC manufacturing hotspots with a unified meta-classification formulation. | Duo Ding, Bei Yu, Joydeep Ghosh, David Z. Pan |
| 2012 | CVPR | Discovering important people and objects for egocentric video summarization. | Yong Jae Lee, Joydeep Ghosh, Kristen Grauman |
| 2012 | RecSys | Review quality aware collaborative filtering. | Sindhu Raghavan, Suriya Gunasekar, Joydeep Ghosh |
| 2012 | UAI | Learning to Rank With Bregman Divergences and Monotone Retargeting. | Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh |
| 2011 | ICDM | Temporal Distributed Learning with Heterogeneous Data Using Gaussian Mixtures. | Dean Teffer, Amanda Hutton, Joydeep Ghosh |
| 2011 | RecSys | Learning multiple models for exploiting predictive heterogeneity in recommender systems. | Clinton Jones, Joydeep Ghosh, Aayush Sharma |
| 2011 | RecSys | A kernel-based approach to exploiting interaction-networks in heterogeneous information sources for improved recommender systems. | Oluwasanmi Koyejo, Joydeep Ghosh |
| 2010 | GRC | A Decoupled Approach for Modeling Heterogeneous Dyadic Data with Covariates. | Meghana Deodhar, Joydeep Ghosh |
| 2010 | GRC | Parallel Simultaneous Co-clustering and Learning with Map-Reduce. | Meghana Deodhar, Clinton Jones, Joydeep Ghosh |
| 2010 | IC3K | Actionable Mining of Large, Multi-relational Data using Localized Predictive Models. | Joydeep Ghosh |
| 2010 | IC3K | Actionable Mining of Large, Multi-relational Data Using Localized Predictive Models. | Joydeep Ghosh, Aayush Sharma |
| 2010 | IC3K | Predicting Ground-based Aerosol Optical Depth with Satellite Images Via Gaussian Processes. | Goo Jun, Joydeep Ghosh, Vladan Radosavljevic, Zoran Obradovic |
| 2010 | ICDM | Distributed, Scalable Clustering for Detecting Halos in Terascale Astronomy Datasets. | Srivatsava Daruru, Sankari Dhandapani, Gunjan Gupta, Ilian Iliev, Weijia Xu, Paul A. Navrtil, Nena M. Marin, Joydeep Ghosh |
| 2010 | ICPR | Nearest-Manifold Classification with Gaussian Processes. | Goo Jun, Joydeep Ghosh |
| 2009 | ICDM | Spatially Adaptive Classification and Active Learning of Multispectral Data with Gaussian Processes. | Goo Jun, Ranga Raju Vatsavai, Joydeep Ghosh |
| 2009 | ICML | A scalable framework for discovering coherent co-clusters in noisy data. | Meghana Deodhar, Gunjan Gupta, Joydeep Ghosh, Hyuk Cho, Inderjit S. Dhillon |
| 2009 | IGARSS | Spatially Adaptive Classification of Hyperspectral Data with Gaussian Processes. | Goo Jun, Joydeep Ghosh |
| 2009 | IGARSS | Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs. | Alexander Liu, Goo Jun, Joydeep Ghosh |
| 2009 | KDD | Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data. | Srivatsava Daruru, Nena M. Marin, Matt Walker, Joydeep Ghosh |
| 2009 | KDD | Mining for the most certain predictions from dyadic data. | Meghana Deodhar, Joydeep Ghosh |
| 2009 | SDM | Spatially Cost-Sensitive Active Learning. | Alexander Liu, Goo Jun, Joydeep Ghosh |
| 2008 | CIKM | A spam resistant family of concavo-convex ranks for link analysis. | Sreangsu Acharyya, Joydeep Ghosh |
| 2008 | ICDM | Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data. | Meghana Deodhar, Joydeep Ghosh |
| 2008 | ICDM | Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets. | Meghana Deodhar, Joydeep Ghosh, Gunjan Gupta, Hyuk Cho, Inderjit S. Dhillon |
| 2008 | IGARSS | An Efficient Active Learning Algorithm with Knowledge Transfer for Hyperspectral Data Analysis. | Goo Jun, Joydeep Ghosh |
| 2008 | IGARSS | Spatially Adapted Manifold Learning for Classification of Hyperspectral Imagery with Insufficient Labeled Data. | Wonkook Kim, Melba M. Crawford, Joydeep Ghosh |
| 2008 | ISI | Probabilistic frameworks for privacy-aware data mining. | Joydeep Ghosh |
| 2008 | WWW | Enhanced hierarchical classification via isotonic smoothing. | Kunal Punera, Joydeep Ghosh |
| 2007 | CIBCB | Matching and Visualization of Multiple Overlapping Clusterings of Microarray Data. | Chase Krumpelman, Joydeep Ghosh |
| 2007 | CIDM | Knowledge Based Stacking of Hyperspectral Data for Land Cover Classification. | Yangchi Chen, Melba M. Crawford, Joydeep Ghosh |
| 2007 | IGARSS | Multiresolution manifold learning for classification of hyperspectral data. | Wonkook Kim, Yangchi Chen, Melba M. Crawford, James C. Tilton, Joydeep Ghosh |
| 2007 | KDD | A framework for simultaneous co-clustering and learning from complex data. | Meghana Deodhar, Joydeep Ghosh |
| 2006 | ICDM | Consensus Clustering for Detection of Overlapping Clusters in Microarray Data. | Meghana Deodhar, Joydeep Ghosh |
| 2006 | ICDM | Bregman Bubble Clustering: A Robust, Scalable Framework for Locating Multiple, Dense Regions in Data. | Gunjan Gupta, Joydeep Ghosh |
| 2006 | ICDM | Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets. | Gunjan Gupta, Alexander Liu, Joydeep Ghosh |
| 2006 | ICDM | Automatic Construction of N-ary Tree Based Taxonomies. | Kunal Punera, Suju Rajan, Joydeep Ghosh |
| 2006 | IGARSS | An Active Learning Approach to Knowledge Transfer for Hyperspectral Data Analysis. | Suju Raj, Joydeep Ghosh, Melba M. Crawford |
| 2006 | IGARSS | Improved Nonlinear Manifold Learning for Land Cover Classification via Intelligent Landmark Selection. | Yangchi Chen, Melba M. Crawford, Joydeep Ghosh |
| 2005 | AAAI | A Maximum Likelihood Framework for Integrating Taxonomies. | Suju Rajan, Kunal Punera, Joydeep Ghosh |
| 2005 | ICDM | CLUMP: A Scalable and Robust Framework for Structure Discovery. | Kunal Punera, Joydeep Ghosh |
| 2005 | ICML | Robust one-class clustering using hybrid global and local search. | Gunjan Gupta, Joydeep Ghosh |
| 2005 | IGARSS | Applying nonlinear manifold learning to hyperspectral data for land cover classification. | Yangchi Chen, Melba M. Crawford, Joydeep Ghosh |
| 2005 | KDD | Model-based overlapping clustering. | Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney |
| 2005 | KDD | A distributed learning framework for heterogeneous data sources. | Srujana Merugu, Joydeep Ghosh |
| 2005 | WWW | Automatically learning document taxonomies for hierarchical classification. | Kunal Punera, Suju Rajan, Joydeep Ghosh |
| 2005 | SBAC-PAD | Analyzing and Improving Clustering Based Sampling for Microprocessor Simulation. | Yue Luo, Ajay Joshi, Aashish Phansalkar, Lizy Kurian John, Joydeep Ghosh |
| 2004 | ICML | An information theoretic analysis of maximum likelihood mixture estimation for exponential families. | Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu |
| 2004 | IGARSS | Integrating support vector machines in a hierarchical output space decomposition framework. | Yangchi Chen, Melba M. Crawford, Joydeep Ghosh |
| 2004 | KDD | A generalized maximum entropy approach to bregman co-clustering and matrix approximation. | Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha |
| 2004 | WWW | Outlink estimation for pagerank computation under missing data. | Sreangsu Acharyya, Joydeep Ghosh |
| 2004 | SDM | Clustering with Bregman Divergences. | Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh |
| 2003 | ICDM | Privacy-preserving Distributed Clustering using Generative Models. | Srujana Merugu, Joydeep Ghosh |
| 2003 | IJCNN | Competitive learning mechanisms for scalable, incremental and balanced clustering of streaming texts. | Arindam Banerjee, Joydeep Ghosh |
| 2003 | IGARSS | Adaptive feature selection for hyperspectral data analysis using a binary hierarchical classifier and tabu search. | Donna Korycinski, Melba M. Crawford, J. W. Barnes, Joydeep Ghosh |
| 2003 | KDD | Generative model-based clustering of directional data. | Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra |
| 2003 | SDM | Scalable, Balanced Model-based Clustering. | Shi Zhong, Joydeep Ghosh |
| 2002 | AAAI | Cluster Ensembles A Knowledge Reuse Framework for Combining Partitionings. | Alexander Strehl, Joydeep Ghosh |
| 2002 | IGARSS | Best bases Bayesian hierarchical classifier for hyperspectral data analysis. | Joseph T. Morgan, Alex Henneguelle, Melba M. Crawford, Joydeep Ghosh, Amy L. Neuenschwander |
| 2002 | SDM | On Scaling Up Balanced Clustering Algorithms. | Arindam Banerjee, Joydeep Ghosh |
| 2001 | KDD | Evaluating the novelty of text-mined rules using lexical knowledge. | Sugato Basu, Raymond J. Mooney, Krupakar V. Pasupuleti, Joydeep Ghosh |
| 2001 | SDM | Detecting Seasonal Trends and Cluster Motion Visualization for Very High Dimensional Transactional Data. | Gunjan Gupta, Joydeep Ghosh |
| 2000 | HiPC | A Scalable Approach to Balanced, High-Dimensional Clustering of Market-Baskets. | Alexander Strehl, Joydeep Ghosh |
| 2000 | IJCNN | The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data. | Adrian K. Agogino, Joydeep Ghosh, Stavros J. Perantonis, Vassilis Virvilis, Sergios Petridis, Paulo J. G. Lisboa |
| 1999 | IJCNN | Visualization of radial basis function networks. | Adrian K. Agogino, Joydeep Ghosh, Cheryl E. Martin |
| 1999 | IJCNN | Probabilistic principal surfaces. | Kyu-Yu Chang, Joydeep Ghosh |
| 1999 | IJCNN | A neural network based classifier and biofeedback device for improving clarinet tone-quality. | Ian R. Fasel, Kurt Dewitt Bollacker, Joydeep Ghosh |
| 1999 | IJCNN | A versatile framework for labelling imagery with a large number of classes. | Shailesh Kumar, Melba M. Crawford, Joydeep Ghosh |
| 1998 | ICML | A Supra-Classifier Architecture for Scalable Knowledge Reuse. | Kurt Dewitt Bollacker, Joydeep Ghosh |
| 1997 | ICIP | Multisensor Integration for Scene Classifiction: An Experiment in Human Form Detection. | Shishir Shah, J. K. Aggarwal, Jayakrishnan Eledath, Joydeep Ghosh |
| 1996 | ICASSP | Advances in using hierarchical mixture of experts for signal classification. | Viswanath Ramamurti, Joydeep Ghosh |
| 1996 | ICPR | Linear feature extractors based on mutual information. | Kurt Dewitt Bollacker, Joydeep Ghosh |
| 1996 | ICPR | Structural adaptation in mixture of experts. | Viswanath Ramamurti, Joydeep Ghosh |
| 1996 | ICPR | Estimating the Bayes error rate through classifier combining. | Kagan Tumer, Joydeep Ghosh |
| 1995 | ICASSP | Habituation based neural classifiers for spatio-temporal signals. | Bryan W. Stiles, Joydeep Ghosh |
| 1994 | INFOCOM | Dynamic Bandwidth Allocation for Efficient Transport of Real-Time VBR Video over ATM. | Song Chong, San-qi Li, Joydeep Ghosh |
| 1994 | VLSID | OTA Based Neural Network Architectures with On-Chip Tuning of Synapses. | Joydeep Ghosh, Patrick LaCour, Spence Jackson |
| 1993 | VLSID | Fault-Tolerant Arbitration in Multichip Crossbar Switches. | Joydeep Ghosh, Nari Krishnamurthy |
| 1990 | ICCD | Reliable design of multichip nonblocking crossbars. | Joydeep Ghosh, Anujan Varma |
| 1990 | ICDCS | Symmetry in Spite of Hierarchy. | Vijay K. Garg, Joydeep Ghosh |
| 1988 | ISCA | Critical Issues in Mapping Neural Networks on Message-Passing Multicomputers. | Joydeep Ghosh, Kai Hwang |
| 1987 | ICPP | Hypernet Architectures for Parallel Processing. | Kai Hwang, Joydeep Ghosh |