Joydeep Ghosh

Publication Activity (10 Years)

Years Active: 1987-2024
Publications (10 Years): 117

Top Venues

CoRR

AISTATS

ICML

KDD

Publications

Disha Makhija, Joydeep Ghosh, Yejin Kim
Federated Learning for Estimating Heterogeneous Treatment Effects. CoRR (2024)
Hsing-Huan Chung, Shravan Chaudhari, Yoav Wald, Xing Han, Joydeep Ghosh
Novel Node Category Detection Under Subpopulation Shift. CoRR (2024)
Disha Makhija, Xing Han, Joydeep Ghosh, Yejin Kim
Achieving Fairness Across Local and Global Models in Federated Learning. CoRR (2024)
Shubham Sharma, Alan H. Gee, Jette Henderson, Joydeep Ghosh
FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations. AIAI (4) (2024)
Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. CoRR (2024)
Avinab Saha, Shashank Gupta, Sravan Kumar Ankireddy, Karl Chahine, Joydeep Ghosh
Exploring Explainability in Video Action Recognition. CoRR (2024)
Song Wang, Yiliang Zhou, Ziqiang Han, Cui Tao, Yunyu Xiao, Ying Ding, Joydeep Ghosh, Yifan Peng
Uncovering Misattributed Suicide Causes through Annotation Inconsistency Detection in Death Investigation Notes. CoRR (2024)
Disha Makhija, Joydeep Ghosh, Nhat Ho
Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings. CoRR (2023)
Shubham Sharma, Jette Henderson, Joydeep Ghosh
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts. IJCAI (2023)
Xing Han, Tongzheng Ren, Tan Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho
Designing Robust Transformers using Robust Kernel Density Estimation. NeurIPS (2023)
Xing Han, Jing Hu, Joydeep Ghosh
A Novel Control-Variates Approach for Performative Gradient-Based Learners with Missing Data. IJCNN (2023)
Hsing-Huan Chung, Joydeep Ghosh
Incremental Unsupervised Domain Adaptation on Evolving Graphs. CoLLAs (2023)
Md Meftahul Ferdaus, Bangjian Zhou, Ji Wei Yoon, Kain Lu Low, Jieming Pan, Joydeep Ghosh, Min Wu, Xiaoli Li, Aaron Voon-Yew Thean, J. Senthilnath
Significance of activation functions in developing an online classifier for semiconductor defect detection. Knowl. Based Syst. 248 (2022)
Disha Makhija, Xing Han, Nhat Ho, Joydeep Ghosh
Architecture Agnostic Federated Learning for Neural Networks. CoRR (2022)
Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace
Intermediate Entity-based Sparse Interpretable Representation Learning. CoRR (2022)
Xing Han, Ziyang Tang, Joydeep Ghosh, Qiang Liu
Split Localized Conformal Prediction. CoRR (2022)
Disha Makhija, Xing Han, Nhat Ho, Joydeep Ghosh
Architecture Agnostic Federated Learning for Neural Networks. ICML (2022)
Xing Han, Tongzheng Ren, Tan Minh Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho
Robustify Transformers with Robust Kernel Density Estimation. CoRR (2022)
Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace
Intermediate Entity-based Sparse Interpretable Representation Learning. BlackboxNLP@EMNLP (2022)
Disha Makhija, Nhat Ho, Joydeep Ghosh
Federated Self-supervised Learning for Heterogeneous Clients. CoRR (2022)
Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection. WWW (Companion Volume) (2022)
Shubham Sharma, Jette Henderson, Joydeep Ghosh
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts. CoRR (2022)
Xing Han, Tongzheng Ren, Jing Hu, Joydeep Ghosh, Nhat Ho
Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering. CoRR (2022)
Xing Han, Jing Hu, Joydeep Ghosh
Dynamic Combination of Heterogeneous Models for Hierarchical Time Series. ICDM (Workshops) (2022)
Shubham Sharma, Alan H. Gee, Jette Henderson, Joydeep Ghosh
FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations. CoRR (2022)
Xing Han, Sambarta Dasgupta, Joydeep Ghosh
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series. AISTATS (2021)
Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh
FaiR-N: Fair and Robust Neural Networks for Structured Data. AIES (2021)
Xing Han, Joydeep Ghosh
Model-Agnostic Explanations using Minimal Forcing Subsets. IJCNN (2021)
Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection. CoRR (2021)
Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
Biomedical Interpretable Entity Representations. CoRR (2021)
Xing Han, Sambarta Dasgupta, Joydeep Ghosh
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series. CoRR (2021)
Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
Biomedical Interpretable Entity Representations. ACL/IJCNLP (Findings) (2021)
Xing Han, Jing Hu, Joydeep Ghosh
MECATS: Mixture-of-Experts for Quantile Forecasts of Aggregated Time Series. CoRR (2021)
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
Certifai: A Toolkit for Building Trust in AI Systems. IJCAI (2020)
Shubham Sharma, Alan H. Gee, David Paydarfar, Joydeep Ghosh
FaiR-N: Fair and Robust Neural Networks for Structured Data. CoRR (2020)
Aditya Jain, Manish Ravula, Joydeep Ghosh
Biased Models Have Biased Explanations. CoRR (2020)
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
Explainable machine learning in deployment. FAT* (2020)
Neil Gupta, Joydeep Ghosh, Gunjan Gupta, Sheshank Shankar, Alex Tarasar
Detection and Visualization of Dense Subgroups at Multiple Resolutions in Large Social Networks. ASONAM (2020)
Shubham Sharma, Jette Henderson, Joydeep Ghosh
CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models. AIES (2020)
Taewan Kim, Joydeep Ghosh
On Single Source Robustness in Deep Fusion Models. NeurIPS (2019)
Umang Bhatt, Alice Xiang, Shubham Sharma, Adrian Weller, Ankur Taly, Yunhan Jia, Joydeep Ghosh, Ruchir Puri, José M. F. Moura, Peter Eckersley
Explainable Machine Learning in Deployment. CoRR (2019)
Dany Haddad, Joydeep Ghosh
Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval. SIGIR (2019)
Luiz F. S. Coletta, Moacir Ponti, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh
Combining clustering and active learning for the detection and learning of new image classes. Neurocomputing 358 (2019)
Michael Motro, Joydeep Ghosh
Vehicular Multi-object Tracking with Persistent Detector Failures. CoRR (2019)
Jette Henderson, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Jimeng Sun, Joydeep Ghosh, Joyce C. Ho
CP Tensor Decomposition with Cannot-Link Intermode Constraints. SDM (2019)
Taewan Kim, Joydeep Ghosh
On Single Source Robustness in Deep Fusion Models. CoRR (2019)
Dean Teffer, Ravi Srinivasan, Joydeep Ghosh
AdaHash: hashing-based scalable, adaptive hierarchical clustering of streaming data on Mapreduce frameworks. Int. J. Data Sci. Anal. 8 (3) (2019)
Shubham Sharma, Jette Henderson, Joydeep Ghosh
CERTIFAI: Counterfactual Explanations for Robustness, Transparency, Interpretability, and Fairness of Artificial Intelligence models. CoRR (2019)
Shalmali Joshi, Oluwasanmi Koyejo, Warut Vijitbenjaronk, Been Kim, Joydeep Ghosh
Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems. CoRR (2019)
Dany Haddad, Joydeep Ghosh
Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval. CoRR (2019)
Alan H. Gee, Diego García-Olano, Joydeep Ghosh, David Paydarfar
Explaining Deep Classification of Time-Series Data with Learned Prototypes. KHD@IJCAI (2019)
Rajiv Khanna, Been Kim, Joydeep Ghosh, Sanmi Koyejo
Interpreting Black Box Predictions using Fisher Kernels. AISTATS (2019)
Michael Motro, Joydeep Ghosh
Scaling Data Association for Hypothesis-Oriented MHT. FUSION (2019)
Alan H. Gee, Diego García-Olano, Joydeep Ghosh, David Paydarfar
Explaining Deep Classification of Time-Series Data with Learned Prototypes. CoRR (2019)
Jette Henderson, Bradley A. Malin, Joyce C. Ho, Joydeep Ghosh
PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization. CoRR (2018)
Jette Henderson, Huan He, Bradley A. Malin, Joshua C. Denny, Abel N. Kho, Joydeep Ghosh, Joyce C. Ho
Phenotyping through Semi-Supervised Tensor Factorization (PSST). AMIA (2018)
Shalmali Joshi, Rajiv Khanna, Joydeep Ghosh
Co-regularized Monotone Retargeting for Semi-supervised LeTOR. SDM (2018)
Francesco Locatello, Rajiv Khanna, Joydeep Ghosh, Gunnar Rätsch
Boosting Variational Inference: an Optimization Perspective. AISTATS (2018)
Shalmali Joshi, Oluwasanmi Koyejo, Been Kim, Joydeep Ghosh
xGEMs: Generating Examplars to Explain Black-Box Models. CoRR (2018)
Michael Motro, Joydeep Ghosh
Measurement-Wise Occlusion in Multi-Object Tracking. FUSION (2018)
Rahi Kalantari, Joydeep Ghosh, Mingyuan Zhou
Nonparametric Bayesian sparse graph linear dynamical systems. AISTATS (2018)
Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou
A Dual Markov Chain Topic Model for Dynamic Environments. KDD (2018)
Woody Austin, Dylan Anderson, Joydeep Ghosh
Fully Supervised Non-Negative Matrix Factorization for Feature Extraction. IGARSS (2018)
Rajiv Khanna, Been Kim, Joydeep Ghosh, Oluwasanmi Koyejo
Interpreting Black Box Predictions using Fisher Kernels. CoRR (2018)
Alan H. Gee, Joshua Chang, Joydeep Ghosh, David Paydarfar
Bayesian Online Changepoint Detection Of Physiological Transitions. EMBC (2018)
Taewan Kim, Michael Motro, Patricia Lavieri, Saharsh Samir Oza, Joydeep Ghosh, Chandra R. Bhat
Pedestrian Detection with Simplified Depth Prediction. ITSC (2018)
Dean Teffer, Joydeep Ghosh
Non-parametric Discovery of Topics and Communities in Distributed and Streaming Environments. INISTA (2018)
Michael Motro, Joydeep Ghosh
Measurement-wise Occlusion in Multi-object Tracking. CoRR (2018)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh
Scalable Greedy Feature Selection via Weak Submodularity. AISTATS (2017)
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
Frequency Domain Predictive Modelling with Aggregated Data. AISTATS (2017)
Jette Henderson, Joyce C. Ho, Abel N. Kho, Joshua C. Denny, Bradley A. Malin, Jimeng Sun, Joydeep Ghosh
Granite: Diversified, Sparse Tensor Factorization for Electronic Health Record-Based Phenotyping. ICHI (2017)
Avradeep Bhowmik, Joydeep Ghosh
LETOR Methods for Unsupervised Rank Aggregation. WWW (2017)
Michael Motro, Joydeep Ghosh, Chandra R. Bhat
Optimal Alarms for Vehicular Collision Detection. CoRR (2017)
Janice Pan, Robert Shaffer, Zeina Sinno, Marcus Tyler, Joydeep Ghosh
The obesity paradox in ICU patients. EMBC (2017)
Jette Henderson, Ryan Bridges, Joyce C. Ho, Byron C. Wallace, Joydeep Ghosh
PheKnow-Cloud: A Tool for Evaluating High-Throughput Phenotype Candidates using Online Medical Literature. CRI (2017)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Sahand N. Negahban, Joydeep Ghosh
Scalable Greedy Feature Selection via Weak Submodularity. CoRR (2017)
Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
Information Projection and Approximate Inference for Structured Sparse Variables. AISTATS (2017)
Taewan Kim, Joydeep Ghosh
Semi-Supervised Active Clustering with Weak Oracles. CoRR (2017)
Francesco Locatello, Rajiv Khanna, Joydeep Ghosh, Gunnar Rätsch
Boosting Variational Inference: an Optimization Perspective. CoRR (2017)
Michael Motro, Joydeep Ghosh, Chandra R. Bhat
Optimal alarms for vehicular collision detection. Intelligent Vehicles Symposium (2017)
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis, Joydeep Ghosh, Sahand N. Negahban
On Approximation Guarantees for Greedy Low Rank Optimization. ICML (2017)
Jimeng Sun, Bradley A. Malin, Abel N. Kho, Mark W. Craven, Joydeep Ghosh
Computational Phenotyping on Diverse Data Sources. AMIA (2017)
Meghana Deodhar, Joydeep Ghosh, Maytal Saar-Tsechansky, Vineet Keshari
Active Learning with Multiple Localized Regression Models. INFORMS J. Comput. 29 (3) (2017)
Jette Henderson, Joyce C. Ho, Joydeep Ghosh
gamAID: Greedy CP tensor decomposition for supervised EHR-based disease trajectory differentiation. EMBC (2017)
Taewan Kim, Joydeep Ghosh
Relaxed Oracles for Semi-Supervised Clustering. CoRR (2017)
Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
A Deflation Method for Structured Probabilistic PCA. SDM (2017)
Rahi Kalantari, Michael Motro, Joydeep Ghosh, Chandra R. Bhat
A distributed, collective intelligence framework for collision-free navigation through busy intersections. ITSC (2016)
Rajiv Khanna, Joydeep Ghosh, Russell A. Poldrack, Oluwasanmi Koyejo
Information Projection and Approximate Inference for Structured Sparse Variables. CoRR (2016)
Shalmali Joshi, Suriya Gunasekar, David A. Sontag, Joydeep Ghosh
Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization. MLHC (2016)
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
Sparse Parameter Recovery from Aggregated Data. ICML (2016)
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
Generalized Linear Models for Aggregated Data. CoRR (2016)
Ryan Bridges, Jette Henderson, Joyce C. Ho, Byron C. Wallace, Joydeep Ghosh
Automated Verification of Phenotypes using PubMed. BCB (2016)
Yubin Park, Joyce C. Ho, Joydeep Ghosh
ACDC: $α$-Carving Decision Chain for Risk Stratification. CoRR (2016)
Avradeep Bhowmik, Joydeep Ghosh
Monotone Retargeting for Unsupervised Rank Aggregation with Object Features. CoRR (2016)
Ashish Bora, Sugato Basu, Joydeep Ghosh
Graphical RNN Models. CoRR (2016)
Shalmali Joshi, Suriya Gunasekar, David A. Sontag, Joydeep Ghosh
Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization. CoRR (2016)
Thiago F. Covoes, Eduardo Raul Hruschka, Joydeep Ghosh
Evolving Gaussian Mixture Models with Splitting and Merging Mutation Operators. Evol. Comput. 24 (2) (2016)
Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh
Preference Completion from Partial Rankings. CoRR (2016)
Suriya Gunasekar, Oluwasanmi Koyejo, Joydeep Ghosh
Preference Completion from Partial Rankings. NIPS (2016)
Taewan Kim, Joydeep Ghosh
Robust detection of non-motorized road users using deep learning on optical and LIDAR data. ITSC (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Joydeep Ghosh