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07/19/2023
Deep projection networks for learning time-homogeneous dynamical systems
We consider the general class of time-homogeneous dynamical systems, bot...
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06/07/2022
Group Meritocratic Fairness in Linear Contextual Bandits
We study the linear contextual bandit problem where an agent has to sele...
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02/07/2022
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start
We analyze a general class of bilevel problems, in which the upper-level...
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11/05/2021
Meta-Forecasting by combining Global Deep Representations with Local Adaptation
While classical time series forecasting considers individual time series...
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11/13/2020
Convergence Properties of Stochastic Hypergradients
Bilevel optimization problems are receiving increasing attention in mach...
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06/29/2020
On the Iteration Complexity of Hypergradient Computation
We study a general class of bilevel problems, consisting in the minimiza...
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03/25/2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization
We study the problem of learning-to-learn: inferring a learning algorith...
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06/13/2018
