Sach Mukherjee
7 papers · 2014–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Half
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(4)
Core Methods
(4)
Core AI
(3)
Learning Types
(3)
Knowledge & Reasoning
(2)
Optimization & Theory
(2)
Reasoning
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Mathematics
(1)
Keywords
structure learning
(3)
graphical model
(3)
causal structure
(3)
causal inference
(2)
bayesian network
(2)
bayesian inference
(1)
decision theory
(1)
causal discovery
(1)
causal structure learning
(1)
markov chain monte carlo
(1)
sparse regression
(1)
gibbs sampling
(1)
semi-supervised learning
(1)
structure estimation
(1)
risk estimation
(1)
decision-theoretic framework
(1)
latent variable model
(1)
representation learning
(1)
mixture model
(1)
variational autoencoder
(1)
Papers
Invariance-based Learning of Latent Dynamics
ICLR 2024
Regularized Joint Mixture Models
JMLR 2023
Evaluation of Causal Structure Learning Algorithms via Risk Estimation
UAI 2020
Causal Learning via Manifold Regularization
JMLR 2019
A Gibbs Sampler for Learning DAGs
JMLR 2016
Estimating Causal Structure Using Conditional DAG Models
JMLR 2016
Joint Structure Learning of Multiple Non-Exchangeable Networks
AISTATS 2014