Francois Bachoc
8 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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Keyword Collector
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Research topics
Machine Learning
(7)
Mathematics & Optimization
(6)
Optimization
(6)
Optimization & Theory · Machine Learning
(6)
Artificial Intelligence
(2)
Bayesian & Probabilistic
(2)
Core AI
(2)
Core Methods
(2)
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(2)
Mathematics
(2)
Deep Learning
(1)
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(1)
Optimization & Theory · Deep Learning
(1)
Keywords
online learning
(2)
regret bound
(2)
sample complexity
(2)
gaussian process
(2)
optimal transport
(1)
high-dimensional regression
(1)
black-box optimization
(1)
neural network theory
(1)
function approximation
(1)
utility optimization
(1)
dimension reduction
(1)
deep learning
(1)
probability measure
(1)
sequential optimization
(1)
contextual information
(1)
game theory
(1)
online algorithm
(1)
contextual bandit
(1)
additive model
(1)
learning theory
(1)
Papers
A Parametric Contextual Online Learning Theory of Brokerage
ICML 2025
A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage
AISTATS 2025
Fair Online Bilateral Trade
NeurIPS 2024
Gaussian Processes on Distributions based on Regularized Optimal Transport
AISTATS 2023
High-dimensional Additive Gaussian Processes under Monotonicity Constraints
NeurIPS 2022
Local Identifiability of Deep ReLU Neural Networks: the Theory
NeurIPS 2022
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates
NeurIPS 2021
The Sample Complexity of Level Set Approximation
AISTATS 2021