Joydeep Ghosh
35 papers · 2002–2024 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (18) π Conference Polyglot (8)
π
Cross-Pollinator
(14)
πΊοΈ
Taxonomy Completionist
(18)
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(3)
π±
Topic Pioneer
π
Keyword Champion
(2)
π§¬
Topic Evolution
π₯
Mega-Team
(25)
π
Century Club
(35)
π
Trend Setter
ποΈ
Keyword Collector
(67)
β‘
Prolific Year
(5)
π₯
Unstoppable
(12)
Conferences
AISTATS (14)
NIPS (7)
JMLR (5)
ICML (4)
IJCAI (2)
ACL (1)
EMNLP (1)
IJCNLP (1)
Top co-authors
Keywords
submodular optimization
(4)
aggregated datum
(3)
matrix completion
(3)
bayesian inference
(3)
greedy algorithm
(2)
neuroimaging datum
(2)
information projection
(2)
bregman divergence
(2)
gamma process
(2)
exponential family
(2)
low-rank matrix
(2)
restricted strong convexity
(2)
generalized linear model
(2)
nonparametric bayesian
(2)
feature selection
(2)
approximate inference
(2)
convex optimization
(2)
variational inference
(2)
federated learning
(2)
model interpretability
(2)
Papers
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors
NIPS 2024
A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings
NIPS 2024
Designing Robust Transformers using Robust Kernel Density Estimation
NIPS 2023
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts
IJCAI 2023
Intermediate Entity-based Sparse Interpretable Representation Learning
EMNLP 2022
Architecture Agnostic Federated Learning for Neural Networks
ICML 2022
Biomedical Interpretable Entity Representations
ACL 2021
Biomedical Interpretable Entity Representations
IJCNLP 2021
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series
AISTATS 2021
Certifai: A Toolkit for Building Trust in AI Systems
IJCAI 2020
On Single Source Robustness in Deep Fusion Models
NIPS 2019
Interpreting Black Box Predictions using Fisher Kernels
AISTATS 2019
Boosting Variational Inference: an Optimization Perspective
AISTATS 2018
Nonparametric Bayesian sparse graph linear dynamical systems
AISTATS 2018
Scalable Greedy Feature Selection via Weak Submodularity
AISTATS 2017
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
Sparse Parameter Recovery from Aggregated Data
ICML 2016
Preference Completion from Partial Rankings
NIPS 2016
Generalized Linear Models for Aggregated Data
AISTATS 2015
Parameter Estimation of Generalized Linear Models without Assuming their Link Function
AISTATS 2015
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices
AISTATS 2015
Unified View of Matrix Completion under General Structural Constraints
NIPS 2015
Sparse Submodular Probabilistic PCA
AISTATS 2015
On Prior Distributions and Approximate Inference for Structured Variables
NIPS 2014
LAMORE: A Stable, Scalable Approach to Latent Vector Autoregressive Modeling of Categorical Time Series
AISTATS 2014
Exponential Family Matrix Completion under Structural Constraints
ICML 2014
DYNACARE: Dynamic Cardiac Arrest Risk Estimation
AISTATS 2013
Bayesian Structure Learning for Functional Neuroimaging
AISTATS 2013
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
JMLR 2007
Clustering with Bregman Divergences
JMLR 2005
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions
JMLR 2005
A Unified Framework for Model-based Clustering
JMLR 2003
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
JMLR 2002