Cedric Malherbe
7 papers · 2016–2024 · 2 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) 🏃 Academic Marathon (8) 🐝 Cross-Pollinator (7)
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Taxonomy Completionist
(18)
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Hot Topic Early Bird
Conferences
ICML (5)
NIPS (2)
Top co-authors
Keywords
convergence rate
(3)
stochastic gradient descent
(2)
global optimization
(2)
lipschitz constant
(2)
non-convex optimization
(2)
neural network optimization
(1)
bipartite ranking
(1)
multi-objective optimization
(1)
quantile optimization
(1)
learning rate
(1)
approximation algorithm
(1)
convergence guarantee
(1)
adaptive algorithm
(1)
minimax rate
(1)
tree search
(1)
learning dynamics
(1)
gradient noise
(1)
polyak-lojasiewicz condition
(1)
heavy-tailed noise
(1)
lipschitz function
(1)
Papers
Measures of diversity and space-filling designs for categorical data
ICML 2024
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
ICML 2022
Optimistic Tree Searches for Combinatorial Black-Box Optimization
NIPS 2022
Robustness in Multi-Objective Submodular Optimization: a Quantile Approach
ICML 2022
Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations
NIPS 2020
Global optimization of Lipschitz functions
ICML 2017
A ranking approach to global optimization
ICML 2016