Joydeep Ghosh

A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings NeurIPS 2024 SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors NeurIPS 2024 Designing Robust Transformers using Robust Kernel Density Estimation NeurIPS 2023 FEAMOE: Fair, Explainable and Adaptive Mixture of Experts IJCAI 2023 Architecture Agnostic Federated Learning for Neural Networks ICML 2022 Intermediate Entity-based Sparse Interpretable Representation Learning EMNLP 2022 Biomedical Interpretable Entity Representations ACL 2021 Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series AISTATS 2021 Certifai: A Toolkit for Building Trust in AI Systems IJCAI 2020 Interpreting Black Box Predictions using Fisher Kernels AISTATS 2019 On Single Source Robustness in Deep Fusion Models NeurIPS 2019 Boosting Variational Inference: an Optimization Perspective AISTATS 2018 Nonparametric Bayesian sparse graph linear dynamical systems AISTATS 2018 Frequency Domain Predictive Modelling with Aggregated Data AISTATS 2017 Information Projection and Approximate Inference for Structured Sparse Variables AISTATS 2017 On Approximation Guarantees for Greedy Low Rank Optimization ICML 2017 Scalable Greedy Feature Selection via Weak Submodularity AISTATS 2017 Preference Completion from Partial Rankings NeurIPS 2016 Sparse Parameter Recovery from Aggregated Data ICML 2016 Generalized Linear Models for Aggregated Data AISTATS 2015 Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices AISTATS 2015 Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015 Sparse Submodular Probabilistic PCA AISTATS 2015 Unified View of Matrix Completion under General Structural Constraints NeurIPS 2015 Exponential Family Matrix Completion under Structural Constraints ICML 2014 LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series AISTATS 2014 On Prior Distributions and Approximate Inference for Structured Variables NeurIPS 2014 Bayesian Structure Learning for Functional Neuroimaging AISTATS 2013 DYNACARE: Dynamic Cardiac Arrest Risk Estimation AISTATS 2013 A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation JMLR 2007 Clustering on the Unit Hypersphere using von Mises-Fisher Distributions JMLR 2005 Clustering with Bregman Divergences JMLR 2005 A Unified Framework for Model-based Clustering JMLR 2003 Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions JMLR 2002