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01/26/2023
Personalised Federated Learning On Heterogeneous Feature Spaces
Most personalised federated learning (FL) approaches assume that raw dat...
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06/07/2022
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances
The Sliced-Wasserstein distance (SW) is a computationally efficient and ...
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07/05/2021
Differentially Private Sliced Wasserstein Distance
Developing machine learning methods that are privacy preserving is today...
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06/07/2021
Photonic Differential Privacy with Direct Feedback Alignment
Optical Processing Units (OPUs) – low-power photonic chips dedicated to ...
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07/02/2020
Partial Trace Regression and Low-Rank Kraus Decomposition
The trace regression model, a direct extension of the well-studied linea...
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02/15/2020
Quantum Bandits
We consider the quantum version of the bandit problem known as best arm...
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08/23/2019
QuicK-means: Acceleration of K-means by learning a fast transform
K-means -- and the celebrated Lloyd algorithm -- is more than the cluste...
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12/18/2018
Frank-Wolfe Algorithm for the Exact Sparse Problem
In this paper, we study the properties of the Frank-Wolfe algorithm to s...
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01/13/2015
On Generalizing the C-Bound to the Multiclass and Multi-label Settings
The C-bound, introduced in Lacasse et al., gives a tight upper bound on ...
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12/12/2014
Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso
Recent computational strategies based on screening tests have been propo...
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08/06/2014
On the Generalization of the C-Bound to Structured Output Ensemble Methods
This paper generalizes an important result from the PAC-Bayesian literat...
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02/28/2012
PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification
In this work, we propose a PAC-Bayes bound for the generalization risk o...
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09/10/2009