Publication
On the probability distribution of distributed optimization strategies
Related publications (166)
Two antagonistic response regulators control Pseudomonas aeruginosa polarization during mechanotaxis
Alexandre Louis André Persat, Lorenzo Anton-Louis Talà, Xavier Jean-Yves Pierrat, Joanne Netter Engel, Marco Julian Kühn
The opportunistic pathogen Pseudomonas aeruginosa adapts to solid surfaces to enhance virulence and infect its host. Type IV pili (T4P), long and thin filaments that power surface-specific twitching motility, allow single cells to sense surfaces and contro ...
WILEY2023Estimation of Self-Exciting Point Processes from Time-Censored Data
Thomas Alois Weber, Philipp Schneider
Self-exciting point processes, widely used to model arrival phenomena in nature and society, are often difficult to identify. The estimation becomes even more challenging when arrivals are recorded only as bin counts on a finite partition of the observatio ...
2023On Approximations of Data-Driven Chance Constrained Programs over Wasserstein Balls
Daniel Kuhn, Zhi Chen, Wolfram Wiesemann
Distributionally robust chance constrained programs minimize a deterministic cost function subject to the satisfaction of one or more safety conditions with high probability, given that the probability distribution of the uncertain problem parameters affec ...
2022Quantifying uncertain system outputs via the multi-level Monte Carlo method --- distribution and robustness measures
Fabio Nobile, Sebastian Krumscheid, Sundar Subramaniam Ganesh
In this work, we consider the problem of estimating the probability distribution, the quantile or the conditional expectation above the quantile, the so called conditional-value-at-risk, of output quantities of complex random differential models by the MLM ...
2022Assessment of the Lightning Performance of overhead distribution lines based on Lightning Location Systems data
This article presents the Lightning Performance (LP) assessment of a realistic portion of the Italian distribution network with the use of probability distributions for lightning parameters inferred from local data recorded by a Lightning Location System ( ...
2022Minimax rate for optimal transport regression between distributions
Victor Panaretos, Laya Ghodrati
Distribution-on-distribution regression considers the problem of formulating and es-timating a regression relationship where both covariate and response are probability distributions. The optimal transport distributional regression model postulates that th ...
ELSEVIER2022Random Surface Covariance Estimation by Shifted Partial Tracing
The problem of covariance estimation for replicated surface-valued processes is examined from the functional data analysis perspective. Considerations of statistical and computational efficiency often compel the use of separability of the covariance, even ...
TAYLOR & FRANCIS INC2022Testing For The Rank Of A Covariance Operator
How can we discern whether the covariance operator of a stochastic pro-cess is of reduced rank, and if so, what its precise rank is? And how can we do so at a given level of confidence? This question is central to a great deal of methods for functional dat ...
INST MATHEMATICAL STATISTICS-IMS2022Dalton: Learned Partitioning for Distributed Data Streams
Anastasia Ailamaki, Eleni Zapridou, Ioannis Mytilinis
To sustain the input rate of high-throughput streams, modern stream processing systems rely on parallel execution. However, skewed data yield imbalanced load assignments and create stragglers that hinder scalability. Deciding on a static partitioning for a ...
2022« À l’Ouest, du nouveau ». Paysage commercial urbain à l’épreuve de la transition numérique
Dans le district de l’Ouest Lausannois s’annonce un vaste chantier, celui de la ville durable. La question commerciale semble étonnamment peu traitée, voire absente des documents de planification de ce morceau de ville en devenir. Pourtant, la transition n ...
2021