Alaleh Ahmadianshalchi — accepted AI-conference papers

2024

Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization

Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa

AAAI 2024technical

We consider the problem of multi-objective optimization (MOO) of expensive black-box functions with the goal of discovering high-quality and diverse Pareto fronts where we are allowed to evaluate a batch of inputs. This problem arises in many real-world applications including penicillin production w…

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2024

Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract)

Alaleh Ahmadianshalchi, Syrine Belakaria, Janardhan Rao Doppa

AAAI 2024technical

We consider the problem of constrained multi-objective optimization over black-box objectives, with user-defined preferences, with a largely infeasible input space. Our goal is to approximate the optimal Pareto set from the small fraction of feasible inputs. The main challenges include huge design…

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