Sayan Mukherjee
14 papers · 2006–2023 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (17) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Cross-Pollinator (11)
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Cross-Pollinator
(11)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(33)
π
Keyword Champion
(5)
π
Century Club
(14)
π
Conference Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(88)
Conferences
JMLR (8)
ICML (2)
NIPS (2)
AISTATS (1)
COLT (1)
Top co-authors
Keywords
dimension reduction
(5)
bayesian inference
(4)
supervised learning
(4)
dirichlet process
(3)
gradient estimation
(3)
feature learning
(2)
variable selection
(2)
supervised dimension reduction
(2)
bayesian nonparametrics
(1)
variational inference
(1)
dimensionality reduction
(1)
principal component analysis
(1)
spectral clustering
(1)
matrix factorization
(1)
manifold learning
(1)
covariance estimation
(1)
probabilistic modeling
(1)
feature selection
(1)
gaussian processes
(1)
semi-supervised learning
(1)
Papers
Global optimality of Elman-type RNNs in the mean-field regime
ICML 2023
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression
NIPS 2023
Tight query complexity bounds for learning graph partitions
COLT 2022
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes
JMLR 2022
Subspace Clustering through Sub-Clusters
JMLR 2021
Partitioned Tensor Factorizations for Learning Mixed Membership Models
ICML 2017
Adaptive Randomized Dimension Reduction on Massive Data
JMLR 2017
Bayesian group factor analysis with structured sparsity
JMLR 2016
Supervised Dimension Reduction Using Bayesian Mixture Modeling
AISTATS 2010
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence
JMLR 2010
Localized Sliced Inverse Regression
NIPS 2008
Characterizing the Function Space for Bayesian Kernel Models
JMLR 2007
Estimation of Gradients and Coordinate Covariation in Classification
JMLR 2006
Learning Coordinate Covariances via Gradients
JMLR 2006