Elisabeth Gassiat
7 papers · 2016–2025 · 2 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) 🏃 Academic Marathon (9) 🐝 Cross-Pollinator (11)
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Interdisciplinary Bridge
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Taxonomy Completionist
(18)
📈
Trend Setter
Conferences
JMLR (6)
NIPS (1)
Top co-authors
Keywords
hidden markov model
(4)
nonparametric estimation
(3)
variational inference
(2)
theoretical analysis
(1)
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)
state space model
(1)
state-space model
(1)
inverse problem
(1)
empirical baye
(1)
multiple testing
(1)
deep generative model
(1)
information leakage
(1)
Papers
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
JMLR 2025
Frontiers to the learning of nonparametric hidden Markov 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
NIPS 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