Linearly Convergent Frank-Wolfe with Backtracking Line-Search

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We establish probabilistic small data global well-posedness of the energy-critical Maxwell-Klein-Gordon equation relative to the Coulomb gauge for scaling super-critical random initial data. The proof relies on an induction on frequency procedure and a mod ...

Recently there has been a surge of interest in understanding implicit regularization properties of iterative gradient-based optimization algorithms. In this paper, we study the statistical guarantees on the excess risk achieved by early-stopped unconstrain ...

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We address black-box convex optimization problems, where the objective and constraint functions are not explicitly known but can be sampled within the feasible set. The challenge is thus to generate a sequence of feasible points converging towards an optim ...

Reaction optimization is challenging and traditionally delegated to domain experts who iteratively pro-pose increasingly optimal experiments. Problematically, the reaction landscape is complex and often requires hundreds of experiments to reach convergence ...

III-N light-emitting-diodes (LEDs) are subject of intense investigations, thanks to their high efficiency and great reliability. The quality of the semiconductor material has a significant impact on the electro-optical performance of LEDs: for this reason, ...

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We address for the first time the problem of correcting group discriminations within a score function, while minimizing the individual error. Each group is described by a probability density function on the set of profiles. We first solve the problem analy ...

Linearly Convergent Frank-Wolfe with Backtracking Line-Search

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Probabilistic Small Data Global Well-Posedness of the Energy-Critical Maxwell-Klein-Gordon Equation

The statistical complexity of early-stopped mirror descent

Multivariate geometric anisotropic Cox processes

Phenomenological theory of variational quantum ground-state preparation

Primal-Dual Contextual Bayesian Optimization for Control System Online Optimization with Time-Average Constraints

An Efficient Threshold Access-Structure for RLWE-Based Multiparty Homomorphic Encryption

A Spatial Branch and Bound Algorithm for Continuous Pricing with Advanced Discrete Choice Demand Modeling

Probabilistic methods for neural combinatorial optimization

Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations

Bayesian Optimization for Chemical Reactions

Defects in III-N LEDs: experimental identification and impact on electro-optical characteristics

A Theory of Value for Service Ecosystems

Removing Algorithmic Discrimination (With Minimal Individual Error)