AutoML Seminar

Talks on topics related to #automl. Part of the @ELLISforEurope Units Berlin and Freiburg. Past talks:

[AutoML Seminar @AutomlSeminar]

🚀 Next #AutoML Seminar
📅 May 28 · 3PM CET
🎤 Pieter Gijsbers
🧠 OpenML — Past, Present, Future

A look back at OpenML’s impact on AI research — and what comes next for open, collaborative AutoML.
🔗 https://t.co/MbJuVQmFxD

[AutoML Seminar @AutomlSeminar]

🚀 Next #AutoML Seminar talk
📅 May 21 · 3PM CET
🎤 Taeyoung Yun
🧠 Posterior Inference in Generative Models for High-dimensional Black-box Optimization
🔗 https://t.co/MbJuVQmFxD

[AutoML Seminar @AutomlSeminar]

🎥 The latest AutoML Seminar talk by @solitarypenman on Chronos-2 is now online!
👉 Watch the full talk here: https://t.co/2069e53S1s

[AutoML Seminar @AutomlSeminar]

🚀Next talk at the AutoML Seminar — Feb 5 · 2:00 PM CET!
@solitarypenman: Chronos-2: From Univariate to Universal Forecasting
🔗https://t.co/MbJuVQmFxD

[AutoML Seminar @AutomlSeminar]

🎥 Andrei Paleyes's AutoML Seminar talk on multi-objective optimization to tune your ML models is now online! https://t.co/ZjYZQ9wU9f

[AutoML Seminar @AutomlSeminar]

🚀 First #AutoML Seminar of 2026!
📅 Jan 15 · 3:00 PM CET
🎤 Andrei Paleyes: Stop Guessing, Start Discovering Trade-offs in Your ML Models
🔗 https://t.co/MbJuVQndnb

[AutoML Seminar @AutomlSeminar]

🎥 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: https://t.co/yhLTgNWo0l

[AutoML Seminar @AutomlSeminar]

🎙️ Last talk of the year by @RobertTLange : "ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution" Thursday Dec 11 3pm CET
🔗 Details: https://t.co/MbJuVQmFxD

[AutoML Seminar @AutomlSeminar]

🎥 New #AutoML Seminar talk is online!
@j_golebiowski — “AutoML without Data: Training Small Models with 10 Examples.”
Watch here 👇
https://t.co/zuBlBzVEwm

[AutoML Seminar @AutomlSeminar]

More info: https://t.co/MbJuVQndnb

[AutoML Seminar @AutomlSeminar]

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

[AutoML Seminar @AutomlSeminar]

@TomeEftimov Link: https://t.co/xt9RkgorGu

[AutoML Seminar @AutomlSeminar]

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

[AutoML Seminar @AutomlSeminar]

more details here: https://t.co/jE5xCOPfof

[AutoML Seminar @AutomlSeminar]

🚀 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"

[AutoML Seminar @AutomlSeminar]

🧠 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.
🔗 https://t.co/MbJuVQndnb

[AutoML Seminar @AutomlSeminar]

🎥 New #AutoMLSeminar talk by Jan van Rijn is online!
Multi-Objective #AutoML: Towards Accurate and Robust Models
Watch now 👉 https://t.co/fcX67os0TZ

[AutoML Seminar @AutomlSeminar]

Join for our next talk by Jan van Rijn (Thursday 3:00 PM CET on " Multi-Objective AutoML: Towards Accurate and Robust Models."
🔗 https://t.co/MbJuVQndnb

[AutoML Seminar @AutomlSeminar]

Carolin's #AutoML Seminar talk on 'carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks' is now online!
🎥 Watch here 👉https://t.co/2ujTNMUvRl

[AutoML Seminar @AutomlSeminar]

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: https://t.co/HtADlQet2s