Heiss, Jakob

6 publications

ICLR 2026 CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk Ilia Azizi, Juraj Bodik, Jakob Heiss, Bin Yu

ICML 2025 Prices, Bids, Values: One ML-Powered Combinatorial Auction to Rule Them All Ermis Soumalias, Jakob Heiss, Jakob Weissteiner, Sven Seuken

TMLR 2024 Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework William Andersson, Jakob Heiss, Florian Krach, Josef Teichmann

AAAI 2024 Machine Learning-Powered Combinatorial Clock Auction Ermis Nikiforos Soumalias, Jakob Weissteiner, Jakob Heiss, Sven Seuken

AAAI 2023 Bayesian Optimization-Based Combinatorial Assignment Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken

IJCAI 2022 Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken