Ghosh, Joydeep

57 publications

ICLR 2026 Massively Multimodal Foundation Models: A Framework for Capturing Interactions with Specialized Mixture-of-Experts Xing Han, Hsing-Huan Chung, Joydeep Ghosh, Paul Pu Liang, Suchi Saria

TMLR 2025 Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning Hsing-Huan Chung, Shravan S Chaudhari, Xing Han, Yoav Wald, Suchi Saria, Joydeep Ghosh

NeurIPS 2024 A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings Disha Makhija, Joydeep Ghosh, Nhat Ho

ECML-PKDD 2024 Novel Node Category Detection Under Subpopulation Shift Hsing-Huan Chung, Shravan Chaudhari, Yoav Wald, Xing Han, Joydeep Ghosh

NeurIPS 2024 SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi

ICMLW 2024 SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors Vijay Lingam, Atula Tejaswi Neerkaje, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi

ICMLW 2024 SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors Vijay Lingam, Atula Tejaswi Neerkaje, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Eunsol Choi, Alex Dimakis, Aleksandar Bojchevski, Sujay Sanghavi

NeurIPSW 2024 SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi

NeurIPS 2023 Designing Robust Transformers Using Robust Kernel Density Estimation Xing Han, Tongzheng Ren, Tan Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho

IJCAI 2023 FEAMOE: Fair, Explainable and Adaptive Mixture of Experts Shubham Sharma, Jette Henderson, Joydeep Ghosh

CoLLAs 2023 Incremental Unsupervised Domain Adaptation on Evolving Graphs Hsing-Huan Chung, Joydeep Ghosh

ICML 2022 Architecture Agnostic Federated Learning for Neural Networks Disha Makhija, Xing Han, Nhat Ho, Joydeep Ghosh

NeurIPSW 2022 Improving Counterfactual Explanations for Time Series Classification Models in Healthcare Settings Tina Han, Jette Henderson, Pedram Akbarian, Joydeep Ghosh

AISTATS 2021 Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series Xing Han, Sambarta Dasgupta, Joydeep Ghosh

IJCAI 2020 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

AISTATS 2019 Interpreting Black Box Predictions Using Fisher Kernels Rajiv Khanna, Been Kim, Joydeep Ghosh, Sanmi Koyejo

NeurIPS 2019 On Single Source Robustness in Deep Fusion Models Taewan Kim, Joydeep Ghosh

AISTATS 2018 Boosting Variational Inference: An Optimization Perspective Francesco Locatello, Rajiv Khanna, Joydeep Ghosh, Gunnar Rätsch

AISTATS 2018 Nonparametric Bayesian Sparse Graph Linear Dynamical Systems Rahi Kalantari, Joydeep Ghosh, Mingyuan Zhou

AISTATS 2017 Frequency Domain Predictive Modelling with Aggregated Data Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo

AISTATS 2017 Information Projection and Approximate Inference for Structured Sparse Variables Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo

ICML 2017 On Approximation Guarantees for Greedy Low Rank Optimization Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Joydeep Ghosh, Sahand Negahban

AISTATS 2017 Scalable Greedy Feature Selection via Weak Submodularity Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh

NeurIPS 2016 Preference Completion from Partial Rankings Suriya Gunasekar, Oluwasanmi O Koyejo, Joydeep Ghosh

MLJ 2016 Rényi Divergence Minimization Based Co-Regularized Multiview Clustering Shalmali Joshi, Joydeep Ghosh, Mark Reid, Oluwasanmi Koyejo

ICML 2016 Sparse Parameter Recovery from Aggregated Data Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo

ECML-PKDD 2015 Gamma Process Poisson Factorization for Joint Modeling of Network and Documents Ayan Acharya, Dean Teffer, Jette Henderson, Marcus Tyler, Mingyuan Zhou, Joydeep Ghosh

AISTATS 2015 Generalized Linear Models for Aggregated Data Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo

AISTATS 2015 Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou

AISTATS 2015 Parameter Estimation of Generalized Linear Models Without Assuming Their Link Function Sreangsu Acharyya, Joydeep Ghosh

AISTATS 2015 Sparse Submodular Probabilistic PCA Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo

NeurIPS 2015 Unified View of Matrix Completion Under General Structural Constraints Suriya Gunasekar, Arindam Banerjee, Joydeep Ghosh

MLJ 2014 A Constrained Matrix-Variate Gaussian Process for Transposable Data Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh

ICML 2014 Exponential Family Matrix Completion Under Structural Constraints Suriya Gunasekar, Pradeep Ravikumar, Joydeep Ghosh

AISTATS 2014 LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series Yubin Park, Carlos Carvalho, Joydeep Ghosh

UAI 2014 MEMR: A Margin Equipped Monotone Retargeting Framework for Ranking Sreangsu Acharyya, Joydeep Ghosh

NeurIPS 2014 On Prior Distributions and Approximate Inference for Structured Variables Oluwasanmi O Koyejo, Rajiv Khanna, Joydeep Ghosh, Russell Poldrack

AISTATS 2013 Bayesian Structure Learning for Functional Neuroimaging Mijung Park, Oluwasanmi Koyejo, Joydeep Ghosh, Russell A. Poldrack, Jonathan W. Pillow

UAI 2013 Constrained Bayesian Inference for Low Rank Multitask Learning Oluwasanmi Koyejo, Joydeep Ghosh

AISTATS 2013 DYNACARE: Dynamic Cardiac Arrest Risk Estimation Joyce C. Ho, Yubin Park, Carlos Carvalho, Joydeep Ghosh

ECML-PKDD 2013 Noisy Matrix Completion Using Alternating Minimization Suriya Gunasekar, Ayan Acharya, Neeraj Gaur, Joydeep Ghosh

CVPR 2012 Discovering Important People and Objects for Egocentric Video Summarization Yong Jae Lee, Joydeep Ghosh, Kristen Grauman

UAI 2012 Learning to Rank with Bregman Divergences and Monotone Retargeting Sreangsu Acharyya, Oluwasanmi Koyejo, Joydeep Ghosh

ICML 2009 A Scalable Framework for Discovering Coherent Co-Clusters in Noisy Data Meghana Deodhar, Gunjan Gupta, Joydeep Ghosh, Hyuk Cho, Inderjit S. Dhillon

ECML-PKDD 2009 A Self-Training Approach to Cost Sensitive Uncertainty Sampling Alexander Liu, Goo Jun, Joydeep Ghosh

MLJ 2009 A Self-Training Approach to Cost Sensitive Uncertainty Sampling Alexander Liu, Goo Jun, Joydeep Ghosh

JMLR 2007 A Generalized Maximum Entropy Approach to Bregman Co-Clustering and Matrix Approximation Arindam Banerjee, Inderjit Dhillon, Joydeep Ghosh, Srujana Merugu, Dharmendra S. Modha

AAAI 2005 A Maximum Likelihood Framework for Integrating Taxonomies Suju Rajan, Kunal Punera, Joydeep Ghosh

JMLR 2005 Clustering on the Unit Hypersphere Using Von Mises-Fisher Distributions Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Suvrit Sra

JMLR 2005 Clustering with Bregman Divergences Arindam Banerjee, Srujana Merugu, Inderjit S. Dhillon, Joydeep Ghosh

ICML 2005 Robust One-Class Clustering Using Hybrid Global and Local Search Gunjan Gupta, Joydeep Ghosh

ICML 2004 An Information Theoretic Analysis of Maximum Likelihood Mixture Estimation for Exponential Families Arindam Banerjee, Inderjit S. Dhillon, Joydeep Ghosh, Srujana Merugu

JMLR 2003 A Unified Framework for Model-Based Clustering Shi Zhong, Joydeep Ghosh

JMLR 2002 Cluster Ensembles --- a Knowledge Reuse Framework for Combining Multiple Partitions Alexander Strehl, Joydeep Ghosh

AAAI 2002 Cluster Ensembles a Knowledge Reuse Framework for Combining Partitionings Alexander Strehl, Joydeep Ghosh

ICML 1998 A Supra-Classifier Architecture for Scalable Knowledge Reuse Kurt D. Bollacker, Joydeep Ghosh

NeurIPS 1996 Spectroscopic Detection of Cervical Pre-Cancer Through Radial Basis Function Networks Kagan Tumer, Nirmala Ramanujam, Rebecca R. Richards-Kortum, Joydeep Ghosh