Elisabeth Gassiat
7 papers · 2016–2025 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Core Methods
(3)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Mathematics
(2)
Deep Learning
(1)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Learning Types
(1)
Models
(1)
Optimization
(1)
Probability
(1)
Keywords
hidden markov model
(4)
nonparametric estimation
(3)
state space model
(2)
variational inference
(2)
oracle inequality
(1)
minimax estimation
(1)
nonparametric density
(1)
machine learning security
(1)
nonparametric inference
(1)
spectral estimation
(1)
smoothing distribution
(1)
minimax risk
(1)
consistent estimation
(1)
inverse problem
(1)
empirical baye
(1)
multiple testing
(1)
deep generative model
(1)
information leakage
(1)
membership inference attack
(1)
nonlinear ica
(1)
Papers
Frontiers to the learning of nonparametric hidden Markov models
JMLR 2025
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
JMLR 2025
Additive smoothing error in backward variational inference for general state-space models
JMLR 2024
Multiple Testing in Nonparametric Hidden Markov Models: An Empirical Bayes Approach
JMLR 2022
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
NeurIPS 2021
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space
JMLR 2020
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models
JMLR 2016