activity
20132023
most citedBayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

165 citations · 820 across the 42 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

physics.soc-ph2018★ 9 cited

Anticipating contingengies in power grids using fast neural net screening

Benjamin Donnot, Isabelle Guyon, Marc Schoenauer +2

We address the problem of maintaining high voltage power transmission networks in security at all time. This requires that power flowing through all lines remain below a certain no…

stat.ML2018

Optimization of computational budget for power system risk assessment

Benjamin Donnot, Isabelle Guyon, Antoine Marot +2

We address the problem of maintaining high voltage power transmission networks in security at all time, namely anticipating exceeding of thermal limit for eventual single line disc…

cs.CV2018★ 26 cited

First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis

Julio C. S. Jacques Junior, Yağmur Güçlütürk, Marc Pérez +8

Personality analysis has been widely studied in psychology, neuropsychology, and signal processing fields, among others. From the past few years, it also became an attractive resea…

stat.ML2018★ 27 cited

Structural Agnostic Modeling: Adversarial Learning of Causal Graphs

Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon +2

A new causal discovery method, Structural Agnostic Modeling (SAM), is presented in this paper. Leveraging both conditional independencies and distributional asymmetries, SAM aims t…

cs.CV2018★ 34 cited

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos

Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah +14

Explainability and interpretability are two critical aspects of decision support systems. Within computer vision, they are critical in certain tasks related to human behavior analy…

stat.ML2018★ 16 cited

Fast Power system security analysis with Guided Dropout

Benjamin Donnot, Isabelle Guyon, Marc Schoenauer +2

We propose a new method to efficiently compute load-flows (the steady-state of the power-grid for given productions, consumptions and grid topology), substituting conventional simu…