Jaron Sanders

3 papers · 2022–2025 · 1 venue · across top CS/AI venues

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Achievements

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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

JMLR (3)

Top co-authors

Albert Senen-Cerda (2) Mark A. Peletier (1) Matthieu Jonckheere (1) Oxana A. Manita (1) Céline Comte (1) Jacobus W. Portegies (1) Albert Senen--Cerda (1)

Research topics

Machine Learning (3) Deep Learning (2) Architectures (2) Learning Types (2) Optimization & Theory · Machine Learning (2) Mathematics & Optimization (1) Reinforcement Learning (1) Methods (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

reinforcement learning (1) stochastic gradient descent (1) policy gradient (1) sample complexity (1) universal approximation (1) markov decision process (1) exponential family (1) stationary distribution (1) regret bound (1) convergence rate (1) stationary point (1) stochastic gradient ascent (1) feed-forward network (1) average-reward reinforcement learning (1) neural network (1) score-aware gradient estimator (1) local lyapunov stability (1) random filter (1)

Papers

Almost Sure Convergence of Dropout Algorithms for Neural Networks JMLR 2025 Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability JMLR 2025 Universal Approximation in Dropout Neural Networks JMLR 2022