Pierre Glaser
7 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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Keyword Pioneer
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Conference Polyglot
(5)
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Cross-Pollinator
(4)
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Interdisciplinary Bridge
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Hot Topic Early Bird
Conferences
ICML (2)
NIPS (2)
ICLR (1)
JMLR (1)
UAI (1)
Top co-authors
Research topics
Keywords
kernel methods
(2)
maximum mean discrepancy
(2)
gradient flow
(2)
kl divergence
(1)
asymptotic analysis
(1)
distribution matching
(1)
reproducing kernel hilbert space
(1)
exponential family
(1)
cramΓ©r-rao bound
(1)
asymptotic variance
(1)
contrastive divergence
(1)
wasserstein gradient
(1)
nonparametric testing
(1)
generative model
(1)
parameter estimation
(1)
unnormalized model
(1)
parametric rate
(1)
distribution alignment
(1)
chi-squared divergence
(1)
stein discrepancy
(1)
Papers
(De)-regularized Maximum Mean Discrepancy Gradient Flow
JMLR 2025
Efficiently Vectorized MCMC on Modern Accelerators
ICML 2025
SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour
ICLR 2025
Kernel-Based Evaluation of Conditional Biological Sequence Models
ICML 2024
Near-Optimality of Contrastive Divergence Algorithms
NIPS 2024
Fast and scalable score-based kernel calibration tests
UAI 2023
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support
NIPS 2021