Workshop on Algorithms with Predictions ALPS@IJCAI IJCAI-ECAI 2026 Website: https://sites.google.com/view/alps-at-ijcai-2026 Submission: https://easychair.org/conferences/?conf=alpsijcai2026 Important dates: - Submission deadline: May 15, 2026 - Notification of acceptance: June 1, 2026 - One-day Workshop: August 15, 2026 SCOPE The rapidly-growing area of learning-augmented algorithms, also known as algorithms with predictions, provides a principled framework for algorithm design that integrates imperfect prior information, most notably machine-learned predictions, while maintaining rigorous, provable performance guarantees. Its central goal is to translate advances in modern AI into reliable algorithmic improvements: algorithms should benefit from accurate predictions to achieve near-optimal performance, yet remain robust and reliable when predictions are inaccurate. This perspective raises fundamental questions at the interface of theoretical computer science and AI about how to represent and evaluate predictive information and how to integrate it into algorithmic decision-making in a controlled way. For an early overview, we refer to the survey by Mitzenmacher and Vassilvitskii (2020), and for a continuously updated collection of papers see the Algorithms with Predictions webpage: https://algorithms-with-predictions.github.io/. This workshop aims to bring together researchers across AI/ML and algorithms to discuss recent progress and identify emerging directions and applications. List of relevant topic areas: - Algorithm design with predictions - Mechanism design with predictions - Prediction models - Error notions - Consistency-robustness tradeoffs - Generative AI/LLMs in algorithm design VENUE ALPS@IJCAI is a workshop of IJCAI-ECAI 2026. It will take place in Bremen in Germany. https://2026.ijcai.org/ INVITED SPEAKERS - Vianney Perchet, Institut Polytechnique de Paris - Debmalya Panigrahi, Duke University PROGRAM COMMITTEE Alexander Lindermayr (TU Berlin, Germany) Lene Favrholdt (U Southern Denmark, Denmark) Benjamin Moseley (CMU, US) Cliff Stein (Columbia U, US) Marek Elias (Bocconi U, Italy) SUBMISSION Authors are invited to submit abstracts of at most 3 pages related to the theme of the workshop based on their original research results (published or not yet published), surveys of existing results, or ongoing research and open problems. Feel free to provide a link to a full paper, if it exists. The submission site is https://easychair.org/conferences/?conf=alpsijcai2026 ORGANIZERS Antonios Antoniadis (U Twente, Netherlands) Nicole Megow (U Bremen, Germany) Vasilis Gkatzelis (Drexel U, US) Sergei Vassilvitskii (Google, US) ********************************************************** * * Contributions to be spread via DMANET are submitted to * * DMANET@zpr.uni-koeln.de * * Replies to a message carried on DMANET should NOT be * addressed to DMANET but to the original sender. The * original sender, however, is invited to prepare an * update of the replies received and to communicate it * via DMANET. * * DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET) * http://www.zaik.uni-koeln.de/AFS/publications/dmanet/ * **********************************************************