Pierre Laforgue

29 papers A* 4A 5Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2024 — conf
Deep Sketched Output Kernel Regression for Structured Prediction.
ECML/PKDD (3)
Tamim El Ahmad, Junjie Yang, Pierre Laforgue, Florence d'Alché-Buc
2024 J jnl
Deep Sketched Output Kernel Regression for Structured Prediction.
CoRR
Tamim El Ahmad, Junjie Yang, Pierre Laforgue, Florence d'Alché-Buc
2024 J jnl
Linear Bandits with Memory.
Trans. Mach. Learn. Res.
Giulia Clerici, Pierre Laforgue, Nicolò Cesa-Bianchi
2024 A conf
Multitask Online Learning: Listen to the Neighborhood Buzz.
AISTATS
Juliette Achddou, Nicolò Cesa-Bianchi, Pierre Laforgue
2024 A conf
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels.
AISTATS
Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue, Florence d'Alché-Buc
2023 J jnl
Fast Kernel Methods for Generic Lipschitz Losses via p-Sparsified Sketches.
Trans. Mach. Learn. Res.
Tamim El Ahmad, Pierre Laforgue, Florence d'Alché-Buc
2023 J jnl
Linear Bandits with Memory: from Rotting to Rising.
CoRR
Giulia Clerici, Pierre Laforgue, Nicolò Cesa-Bianchi
2023 A* conf
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning.
NeurIPS
Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
2023 J jnl
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning.
CoRR
Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
2023 J jnl
Multitask Online Learning: Listen to the Neighborhood Buzz.
CoRR
Juliette Achddou, Nicolò Cesa-Bianchi, Pierre Laforgue
2023 J jnl
Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels.
CoRR
Tamim El Ahmad, Luc Brogat-Motte, Pierre Laforgue, Florence d'Alché-Buc
2022 A conf
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits.
AISTATS
Pierre Laforgue, Giulia Clerici, Nicolò Cesa-Bianchi, Ran Gilad-Bachrach
2022 J jnl
Multitask Online Mirror Descent.
Trans. Mach. Learn. Res.
Nicolò Cesa-Bianchi, Pierre Laforgue, Andrea Paudice, Massimiliano Pontil
2022 J jnl
On Medians of (Randomized) Pairwise Means.
CoRR
Pierre Laforgue, Stéphan Clémençon, Patrice Bertail
2022 J jnl
p-Sparsified Sketches for Fast Multiple Output Kernel Methods.
CoRR
Tamim El Ahmad, Pierre Laforgue, Florence d'Alché-Buc
2021 J jnl
Break your Bandit Routine with LSD Rewards: a Last Switch Dependent Analysis of Satiation and Seasonality.
CoRR
Pierre Laforgue, Giulia Clerici, Nicolò Cesa-Bianchi, Ran Gilad-Bachrach
2021 A* conf
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study.
ICML
Pierre Laforgue, Guillaume Staerman, Stéphan Clémençon
2021 J jnl
Multitask Online Mirror Descent.
CoRR
Nicolò Cesa-Bianchi, Pierre Laforgue, Andrea Paudice, Massimiliano Pontil
2021 J jnl
Visual Recognition with Deep Learning from Biased Image Datasets.
CoRR
Robin Vogel, Stéphan Clémençon, Pierre Laforgue
2021 A conf
When OT meets MoM: Robust estimation of Wasserstein Distance.
AISTATS
Guillaume Staerman, Pierre Laforgue, Pavlo Mozharovskyi, Florence d'Alché-Buc
2020 A* conf
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses.
ICML
Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence d'Alché-Buc
2020 J jnl
How Robust is the Median-of-Means? Concentration Bounds in Presence of Outliers.
CoRR
Pierre Laforgue, Guillaume Staerman, Stéphan Clémençon
2020 J jnl
When OT meets MoM: Robust estimation of Wasserstein Distance.
CoRR
Guillaume Staerman, Pierre Laforgue, Pavlo Mozharovskyi, Florence d'Alché-Buc
2019 A conf
Autoencoding any Data through Kernel Autoencoders.
AISTATS
Pierre Laforgue, Stéphan Clémençon, Florence d'Alché-Buc
2019 A* conf
On Medians of (Randomized) Pairwise Means.
ICML
Stéphan Clémençon, Pierre Laforgue, Patrice Bertail
2019 J jnl
On the Dualization of Operator-Valued Kernel Machines.
CoRR
Pierre Laforgue, Alex Lambert, Luc Motte, Florence d'Alché-Buc
2019 J jnl
Statistical Learning from Biased Training Samples.
CoRR
Pierre Laforgue, Stéphan Clémençon
2018 J jnl
Autoencoding any Data through Kernel Autoencoders.
CoRR
Pierre Laforgue, Stéphan Clémençon, Florence d'Alché-Buc
1975 — —
Construction de sous-systèmes utilisant une machine abstraite. Réalisation autour du noyau GEMAU.
Pierre Laforgue