Benjamin Dupuis
5 papers · 2021–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🧭
Keyword Pioneer
🌍
Conference Polyglot
(3)
🐝
Cross-Pollinator
(9)
🌉
Interdisciplinary Bridge
Conferences
ICML (2)
NIPS (2)
JMLR (1)
Top co-authors
Keywords
generalization bound
(3)
topological data analysis
(2)
fractal dimension
(2)
neural network
(2)
neural network training
(1)
deep learning theory
(1)
neural network optimization
(1)
mutual information
(1)
topological complexity
(1)
discrete-time dynamics
(1)
stochastic method
(1)
pac-bayesian theory
(1)
random set
(1)
covering argument
(1)
geometric stability
(1)
discrete-time optimization
(1)
stochastic optimization
(1)
data-dependent hypothesis
(1)
stochastic gradient
(1)
langevin dynamics
(1)
Papers
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms
NIPS 2024
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation
ICML 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets
JMLR 2024
Generalization Bounds using Data-Dependent Fractal Dimensions
ICML 2023
DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
NIPS 2021