Pierre Glaser

7 papers · 2021–2025 · 5 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird 🏆 Keyword Champion

Venues

ICML (2) NeurIPS (2) ICLR (1) JMLR (1) UAI (1)

Top co-authors

Arthur Gretton (4) Aratrika Mustafi (1) Kim Stachenfeld (1) David Widmann (1) Caswell Barry (1) Claudia Clopath (1) Alan Nawzad Amin (1) Hugh Dance (1) Fredrik Lindsten (1) Peter Orbanz (1)

Research topics

Machine Learning (6) Mathematics & Optimization (5) Optimization & Theory (5) Optimization (4) Core Methods (3) Learning Types (3) Artificial Intelligence (1) Deep Learning (1) Healthcare & Medicine (1) Bayesian & Probabilistic (1) Core AI (1) Mathematics (1) Models (1) Research (1) Statistics (1)

Keywords

kernel methods (2) gradient flow (2) maximum mean discrepancy (2) model calibration (1) expectation maximization (1) asymptotic analysis (1) kl divergence (1) reproducing kernel hilbert space (1) exponential family (1) cramér-rao bound (1) asymptotic variance (1) contrastive divergence (1) neural representation (1) nonparametric testing (1) hyperparameter tuning (1) distribution matching (1) brain encoding (1) generative model (1) latent variable model (1) optimal transport (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 NeurIPS 2024 Fast and scalable score-based kernel calibration tests UAI 2023 KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support NeurIPS 2021