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05/25/2023
Differentiable Clustering with Perturbed Spanning Forests
We introduce a differentiable clustering method based on minimum-weight ...
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11/18/2022
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes
Optimal transport has arisen as an important tool in machine learning, a...
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11/10/2022
Regression as Classification: Influence of Task Formulation on Neural Network Features
Neural networks can be trained to solve regression problems by using gra...
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05/25/2022
Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization
We consider the problem of minimizing the sum of two convex functions. O...
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01/06/2022
A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural models
The field of artificial intelligence has significantly advanced over the...
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05/31/2021
Efficient and Modular Implicit Differentiation
Automatic differentiation (autodiff) has revolutionized machine learning...
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03/17/2021
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking
Self-supervised pre-training using so-called "pretext" tasks has recentl...
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02/20/2020
Fast Differentiable Sorting and Ranking
The sorting operation is one of the most basic and commonly used buildin...
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02/20/2020
Stochastic Optimization for Regularized Wasserstein Estimators
Optimal transport is a foundational problem in optimization, that allows...
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02/20/2020
Learning with Differentiable Perturbed Optimizers
Machine learning pipelines often rely on optimization procedures to make...
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02/05/2019
Estimation of smooth densities in Wasserstein distance
The Wasserstein distances are a set of metrics on probability distributi...
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10/11/2018
Regularized Contextual Bandits
We consider the stochastic contextual bandit problem with additional reg...
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08/06/2018
Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain
We study the problem of hypothesis testing between two discrete distribu...
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05/29/2018
Unsupervised Alignment of Embeddings with Wasserstein Procrustes
We consider the task of aligning two sets of points in high dimension, w...
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03/19/2018
Optimal link prediction with matrix logistic regression
We consider the problem of link prediction, based on partial observation...
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02/22/2017
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
We consider the problem of bandit optimization, inspired by stochastic o...
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05/31/2016
Average-case Hardness of RIP Certification
The restricted isometry property (RIP) for design matrices gives guarant...
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04/03/2013
Computational Lower Bounds for Sparse PCA
In the context of sparse principal component detection, we bring evidenc...
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02/23/2012