conftrace_

Florence Clerc

3 papers · 2023–2023 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze

Venues

ICML (1) NeurIPS (1) UAI (1)

Top co-authors

Pascal Germain (3) Sokhna Diarra Mbacke (2) Cécile Capponi (1) Sokol Koço (1) Jacques Corbeil (1) Baptiste Bauvin (1)

Research topics

Machine Learning (3) Optimization & Theory (3) Deep Learning (2) Models (2) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

wasserstein distance (2) generative model (2) generalization bound (2) pac-bayesian theory (2) generative adversarial network (1) interpretable model (1) ensemble method (1) variational autoencoder (1) generalization guarantee (1) energy-based model (1) adversarial learning (1) binary classification (1) variational inference (1)

Papers

PAC-Bayesian Generalization Bounds for Adversarial Generative Models ICML 2023 Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data UAI 2023 Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory NeurIPS 2023