Schedule

Time	Session
9:00–9:15	Opening
9:15–10:00	Keynote: Tome Eftimov Trust, Adored, Use: An AutoAI lens on foundation-model evaluation and selection
10:00–10:30	Oral presentations PAVO: Coupling-Aware Resource-Adaptive Routing for ASR → LLM → TTS Inference NarasingaMoorthy VeiluKanthaPerumal, Mohammed Imthathullah Amortized Preferential Bayesian Optimization via Prior-Data Fitted Networks Kseniia Kuvshinova, Steven Adriaensen, Sebastian Rojas Gonzalez, Raul Astudillo
10:30–11:00	Coffee break
11:00–12:15	Oral presentations Towards Benchmarking Agentic Data Scientists Kartik Nagaraj Nayak, Nitishkumar Solpure, Niladri Mitra, Tom Zehle, Alexander Pfefferle, Omar Swelam, Frank Hutter From Tables to Runtime: Predicting Algorithm Runtime Distributions with TabPFN Hagverdi Ibrahimli, Katharina Eggensperger, Steven Adriaensen ScAn-Bench: Evaluating Scaling Analysis Methodology Artin Sermaxhaj, Nastaran Alipour Gougeh, Donat Sinani, Johannes Hog, Neeratyoy Mallik, Steven Adriaensen, Jenia Jitsev, Danny Stoll Hierarchical Textual Gradient Optimization for Automatic Prompt Optimization Averkova Ekaterina, Kulin Nikita Context-Aware Learning Curve Extrapolation with Prior-Data Fitted Networks Cheng Yan, Steven Adriaensen, Tom Julian Viering
12:15–12:30	Coordination for afternoon
12:30–14:00	Lunch break
14:00–14:45	Keynote: Carola Doerr Title: Evaluating AI-supported algorithms in optimization and learning contexts, do we still have it all wrong?
14:45–15:30	Panel discussion — Tome Eftimov, Carola Doerr, Matthew Ford, Lars Kotthoff
15:30–16:00	Coffee break
16:00–17:15	Poster session
17:15–17:30	Closing remarks