Pierre Laforgue
9 papers · 2019–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Keywords
regret bound
(3)
kernel methods
(2)
reproducing kernel hilbert space
(2)
differential privacy
(1)
multi-task learning
(1)
reward modeling
(1)
representation learning
(1)
structured prediction
(1)
kernel principal component analysis
(1)
optimal transport
(1)
robust statistics
(1)
empirical risk minimization
(1)
outlier detection
(1)
reward function
(1)
nonparametric regression
(1)
online learning
(1)
robust estimation
(1)
excess risk bound
(1)
matrix sketching
(1)
active learning
(1)
Papers
Multitask Online Learning: Listen to the Neighborhood Buzz
AISTATS 2024
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
AISTATS 2024
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
NeurIPS 2023
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits
AISTATS 2022
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
ICML 2021
When OT meets MoM: Robust estimation of Wasserstein Distance
AISTATS 2021
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses
ICML 2020
Autoencoding any Data through Kernel Autoencoders
AISTATS 2019
On Medians of (Randomized) Pairwise Means
ICML 2019