AutoML Seminar

🎥 The latest AutoML Seminar talk by @solitarypenman on Chronos-2 is now online! 👉 Watch the full talk here: youtube.com/watch?v=wSc76u…

🚀Next talk at the AutoML Seminar — Feb 5 · 2:00 PM CET! @solitarypenman: Chronos-2: From Univariate to Universal Forecasting 🔗automl-seminars.github.io/schedule/

🎥 Andrei Paleyes's AutoML Seminar talk on multi-objective optimization to tune your ML models is now online! youtu.be/v-BKxthhrHA?si…

🚀 First #AutoML Seminar of 2026! 📅 Jan 15 · 3:00 PM CET 🎤 Andrei Paleyes: Stop Guessing, Start Discovering Trade-offs in Your ML Models 🔗 automl-seminars.github.io/schedule/

🎥 Our latest AutoML Seminar talk is now online! @RobertTLange presents the latest work from @SakanaAILabs: “ShinkaEvolve: Towards Open-Ended and Sample-Efficient Program Evolution.” 👉 Watch here: youtu.be/dAOIer_1INo?si…

🎙️ Last talk of the year by @RobertTLange : "ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution" Thursday Dec 11 3pm CET 🔗 Details: automl-seminars.github.io/schedule/

🎥 New #AutoML Seminar talk is online! @j_golebiowski — “AutoML without Data: Training Small Models with 10 Examples.” Watch here 👇 youtube.com/watch?v=ytlZHx…

More info: automl-seminars.github.io/schedule/

🚀 Next talk at the AutoML Seminar: @j_golebiowski will present: “AutoML without data: training small models with 10 examples” 💡

@TomeEftimov Link: youtu.be/c19iox5tWoE?si…

🎥 Just dropped! @TomeEftimov on “Benchmarking Beyond Statistics” showing how instance selection + algorithmic footprints bring explainability to black-box optimization. Check it out 👇

more details here: automl-seminars.github.io

🚀 Coming up Nov 20 @ 3 PM CET — @TomeEftimov' talk at the #AutoML Seminar! Tome will talk about "Benchmarking Beyond Statistics: Data-Driven Footprints for Explainable Black-Box Optimization"

🧠 Next talk Oct 30 · 3:00 PM CET — @JakeMRobertson & @Arik_Reuter: Do-PFN: In-Context Learning for Causal Effect Estimation. Explore PFNs for causal estimation from observational tabular data. 🔗 automl-seminars.github.io/schedule/

🎥 New #AutoMLSeminar talk by Jan van Rijn is online! Multi-Objective #AutoML: Towards Accurate and Robust Models Watch now 👉 youtu.be/MIseruc1SWA?si…

Join for our next talk by Jan van Rijn (Thursday 3:00 PM CET on " Multi-Objective AutoML: Towards Accurate and Robust Models." 🔗 automl-seminars.github.io/schedule/

Carolin's #AutoML Seminar talk on 'carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks' is now online! 🎥 Watch here 👉youtu.be/1EtNTxT4j18?si…

Don’t 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: automl-seminars.github.io

@AcerbiLuigi ’s talk on "Accelerating Bayesian Inference and Data Acquisition via Amortization" is now available to watch! youtu.be/egyUPWe2dSk?si…

This week at the #AutoML Seminar: @AcerbiLuigi presents “Accelerating Bayesian Inference and Data Acquisition via Amortization” 📅 Sept 25, 3:00 PM CET ➡️ Free, open to all: 40 mins talk + 20 mins discussion Details: automl-seminars.github.io