๐ Next #AutoML Seminar
๐ May 28 ยท 3PM CET
๐ค Pieter Gijsbers
๐ง OpenML โ Past, Present, Future
A look back at OpenMLโs impact on AI research โ and what comes next for open, collaborative AutoML.
๐ https://t.co/MbJuVQmFxD
๐Next talk at the AutoML Seminar โ Feb 5 ยท 2:00 PM CET!
@solitarypenman: Chronos-2: From Univariate to Universal Forecasting
๐https://t.co/MbJuVQmFxD
๐ First #AutoML Seminar of 2026!
๐ Jan 15 ยท 3:00 PM CET
๐ค Andrei Paleyes: Stop Guessing, Start Discovering Trade-offs in Your ML Models
๐ https://t.co/MbJuVQndnb
๐ฅ Our latest AutoML Seminar talk is now online!
@RobertTLange presents the latest work from @SakanaAILabs: โShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution.โ
๐ Watch here: https://t.co/yhLTgNWo0l
๐๏ธ Last talk of the year by @RobertTLange : "ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution" Thursday Dec 11 3pm CET
๐ Details: https://t.co/MbJuVQmFxD
๐ฅ New #AutoML Seminar talk is online!
@j_golebiowski โ โAutoML without Data: Training Small Models with 10 Examples.โ
Watch here ๐
https://t.co/zuBlBzVEwm
๐ฅ Just dropped!
@TomeEftimov on โBenchmarking Beyond Statisticsโ showing how instance selection + algorithmic footprints bring explainability to black-box optimization.
Check it out ๐
๐ Coming up Nov 20 @ 3 PM CET โ @TomeEftimov' talk at the #AutoML Seminar!
Tome will talk about "Benchmarking Beyond Statistics: Data-Driven Footprints for Explainable Black-Box Optimization"
๐ง Next talk Oct 30 ยท 3:00 PM CET โ @JakeMRobertson & @Arik_Reuter: Do-PFN: In-Context Learning for Causal Effect Estimation.
Explore PFNs for causal estimation from observational tabular data.
๐ https://t.co/MbJuVQndnb
๐ฅ New #AutoMLSeminar talk by Jan van Rijn is online!
Multi-Objective #AutoML: Towards Accurate and Robust Models
Watch now ๐ https://t.co/fcX67os0TZ
Join for our next talk by Jan van Rijn (Thursday 3:00 PM CET on " Multi-Objective AutoML: Towards Accurate and Robust Models."
๐ https://t.co/MbJuVQndnb
Carolin's #AutoML Seminar talk on 'carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks' is now online!
๐ฅ Watch here ๐https://t.co/2ujTNMUvRl
Donโt miss this the next #AutoML Seminar talk on Oct 2 3:00 PM CET! Carolin Benjamins will talk about: "carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks". More details: https://t.co/HtADlQet2s