William de Vazelhes
8 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird
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Grand Slam
Top co-authors
Research topics
Keywords
zeroth-order optimization
(3)
sparse optimization
(2)
metric learning
(2)
compressive sensing
(1)
sparse learning
(1)
neuromorphic computing
(1)
weakly supervised learning
(1)
gradient descent
(1)
sparse feature learning
(1)
variance reduction
(1)
distance metric learning
(1)
query complexity
(1)
early stopping
(1)
k-support norm
(1)
regret bound
(1)
distance metric
(1)
spiking neural network
(1)
portfolio optimization
(1)
model-free reinforcement learning
(1)
surrogate gradient
(1)
Papers
Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees
ICML 2025
Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning
IJCAI 2024
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery
AAAI 2024
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging
AAAI 2024
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
ICLR 2024
Direct Training of SNN using Local Zeroth Order Method
NeurIPS 2023
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity
NeurIPS 2022
metric-learn: Metric Learning Algorithms in Python
JMLR 2020