This week we have Thomas Nagler and Lennart Schneider talking about their recent paper on "Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization" at the AutoML Seminar: automl-seminars.github.io

New talk by Thomas Nagler and Lennart Schneider is now online on how to improve generalization of hyperparameter optimization: youtu.be/b_NZ2IxklD4?si…

This week (Thursday at 4 PM), Jonas Geiping will be giving a talk on his latest work, "Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach." More details: automl-seminars.github.io

New talk by Jonas Geiping is now online on how to scale test-time compute via latent reasoning: youtu.be/tONsqY7gXAU?fe…

Don't miss this week's talk (Thursday, 5:30 CET) by Nick Erickson from the AutoGluon team on "AutoML in the Age of Structured Foundation Models". automl-seminars.github.io

Fantastic talk by Nick Erickson on the role of foundation models in AutoML is now online: youtu.be/LnXdFoKi-Mc?si…

This week (Thursday 1pm CEST), we have Leonard Papenmeier talking about how Bayesian optimization works in high-dimensional spaces: automl-seminars.github.io/schedule/

How does Bayesian optimization work in high dimensions? Check out Leonard Papenmeier's talk at the AutoML Seminar: youtu.be/SPrlBHwsm4E?si…

This Thursday 3pm CET, Lennart Schneider will present his ICML paper on optimizing few-shot prompts for large language models using multi-fidelity hyperparameter optimization. More details: automl-seminars.github.io

New talk by Lennart on automated prompt engineering is now online: youtu.be/cEoPJC9zQs0?si…. This seems to be highly promising direction for AutoML in the context of #LLMs

Tomorrow (Thursday) at 3pm David Salinas will talk about using AutoML to tune LLM judges for 1/1000 of the costs. See automl-seminars.github.io/schedule/

This week Lennart Purucker will present "TabArena: a living benchmark for tabular data"! More details: automl-seminars.github.io

This week, Elena Raponi and Niki van Stein will present how you can leverage large language models (LLMs) to automatically generate Bayesian optimization algorithms. automl-seminars.github.io

🎉 New AutoML Seminar Talk Online! Check out the excellent presentation by Elena Raponi and Niki van Stein, now available on our YT channel! They introduce a fascinating new approach to automatically designing better Bayesian Optimization algorithms. youtu.be/_owRHzenX-8?si…

This week at the #AutoML Seminar: Luigi Acerbi 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

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

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…

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/

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