Fadhel Ayed

5 papers · 2019–2026 · 4 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

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🏆 Keyword Champion (2)

Venues

JMLR (2) AAAI (1) ICML (1) NeurIPS (1)

Top co-authors

Juho Lee (2) Francois Caron (2) Nicola Piovesan (1) Mohamed Sana (1) Stefano Favaro (1) Marco Battiston (1) Federico Camerlenghi (1) Antonio De Domenico (1) Paul Jung (1) Hongseok Yang (1)

Research topics

Machine Learning (5) Optimization & Theory · Machine Learning (4) Deep Learning (2) Mathematics & Optimization (2) Architectures (2) Mathematics (2) Artificial Intelligence (1) Core Methods (1) Learning Paradigms (1) Optimization & Theory · Deep Learning (1)

Keywords

heavy tail (2) feature learning (1) bayesian nonparametrics (1) markov chain monte carlo (1) pitman-yor process (1) nonparametric estimation (1) time series forecasting (1) statistical estimation (1) perturbation analysis (1) chinese restaurant process (1) signal propagation (1) levy process (1) prediction error (1) residual network (1) dynamic weighting (1) missing mass (1) good-turing estimator (1) residual neural network (1) stochastic depth (1) probability mass (1)

Papers

Goal-Oriented Time-Series Forecasting: Foundation Framework Design AAAI 2026 Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility JMLR 2023 Consistent estimation of small masses in feature sampling JMLR 2021 Regularization in ResNet with Stochastic Depth NeurIPS 2021 Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior ICML 2019