Pierre Laforgue
9 papers · 2019–2024 · 3 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🏃 Academic Marathon (5) 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(14)
🗺️
Taxonomy Completionist
(21)
🔥
Unstoppable
(6)
Conferences
AISTATS (5)
ICML (3)
NIPS (1)
Top co-authors
Keywords
regret bound
(3)
kernel methods
(2)
reproducing kernel hilbert space
(2)
differential privacy
(1)
reward modeling
(1)
online learning
(1)
representation learning
(1)
kernel principal component analysis
(1)
optimal transport
(1)
robust statistics
(1)
multitask learning
(1)
empirical risk minimization
(1)
outlier detection
(1)
reward function
(1)
nonparametric regression
(1)
structured prediction
(1)
robust estimation
(1)
excess risk bound
(1)
matrix sketching
(1)
active learning
(1)
Papers
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
AISTATS 2024
Multitask Online Learning: Listen to the Neighborhood Buzz
AISTATS 2024
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
NIPS 2023
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits
AISTATS 2022
When OT meets MoM: Robust estimation of Wasserstein Distance
AISTATS 2021
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
ICML 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