Accounting for Variance and HPO in Machine Learning Benchmarks
Talk organized by IFT6390B/6758B, Udem, Udem, Montréal
Talks and presentations
Accounting for Variance and HPO in Machine Learning Benchmarks
Talk organized by IFT3395/6390/6758, Udem, Udem, Montréal
Accounting for Variance in Machine Learning Benchmarks
Talk organized by MLCommons, Remote
Did We Forget about the Canonical Source of Variance in Machine Learning Pipelines?
Talk organized by DataPerf workshop, ICML2022, Remote
Le petit scientifique numérique
Talk organized by CScience, École Secondaire Félix-Leclerc, Remote
Thesis Defense: Accounting for Variance and HPO in Machine Learning Benchmarks
Talk organized by Mila, Université de Montréal, Remote
Oríon Showcase @IBM
Talk organized by IBM, Remote
How do we get more people to use HPO
Talk organized by AutoML Seminar, Remote
Reliability of benchmarks and why HPO is important
Talk organized by AutoML Seminar, Remote
Accounting for Variance and HPO in Machine Learning Benchmarks
Talk organized by Microsoft Research, Remote
Practical approaches for efficient hyperparameter optimization with Oríon
Talk organized by SciPy, Remote
Oríon Showcase @IBM
Talk organized by IBM, Remote
Oríon - Librarie pour l’optimisation de boîtes noires et hyperparamètres
Talk organized by Mila, Remote
Black-Box Optimization using Dask with Oríon
Talk organized by Dask Summit 2021, Remote
Accounting for Variance in Machine Learning Benchmarks
Talk organized by MLSys2021, Remote
Practical Approaches for Efficient Hyperparameter Optimization
Talk organized by AICamp, Remote
Oríon - A framework for distributed hyperparameter optimisation
Talk organized by Vector & Mila @ CIFAR, Remote
On a quest for more trustworthy scientific conclusions in Machine Learning
Talk organized by Parietal, INRIA, Remote
Orion Showcase @IBM
Talk organized by IBM, Remote
Table ronde au CBPQ
Talk organized by Corporation des bibliothécaires professionnels du Québec, Remote
Orion Showcase @IBM
Talk organized by IBM, Remote
Reproducibility & Hyperparameter Optimization with Oríon
Talk organized by Ai4Sim, Atos, remote
Unreproducible Research is Reproducible
Talk organized by Center for Human-Compatible AI, CHAI, Berkeley, USA
Oríon: A framework for distributed hyperparameter optimisation
Tutorial organized by Mila, Mila, Montreal, Canada
Reproducibility in machine learning, or why benchmarks are lotteries
Short talk organized by Dataperformers, Mila, Montreal, Canada
Oríon: A framework for distributed hyperparameter optimisation
Short talk organized by Dataperformers, Mila, Montreal, Canada
Unreproducible Research is Reproducible
Talk organized by Mila, Mila, Montreal, Canada
Reproducibility in AI
Short talk organized by Montreal AI Ethics Institute, Stradigi AI, Montreal, Canada
Unreproducible Research is Reproducible
Conference proceedings talk organized by International Conference on Machine Learning, ICML, Long Beach, USA
Introduction à l’intelligence artificielle
Talk organized by Projet SEUR (Sensibilisation aux Etudes, à l'Université et à la Recherche), UdeM, Montreal, Canada
Intelligence artificielle: Une fabrique à outils
Talk organized by Congrès des professionnel.les. de l'information, CPI, Montreal, Canada
Introduction à l’intelligence artificielle
Talk organized by ACFAS - Forum des jeunes en science, Collège Montmorency, Laval, Canada
Tutorial on Oríon
Tutorial organized by Mila, Mila, Montreal, Canada
Oríon: Experiment Version Control for Efficient Hyperparameter Optimization
Lightning Talk organized by AutoML Workshop at the International Conference on Machine Learning, ICML, Stockholm, Sweden
Introduction au langage de programmation Python
Tutorial organized by Club informatique pour étudiants au Cégep, Google, Montreal, Canada