collaborators

12 papers

cs.AI2026

Distributed Constraint Optimization via Online Learning and Iterative Pricing with Application to Large-Scale Satellite Scheduling

Itai Zilberstein, Pranav Rajbhandari, Steve Chien +1

Distributed constraint optimization problems (DCOPs) provide a popular framework for distributed decision making under limited communication, but many real-world instances are too…

cs.AI2026

Scalable Dynamic Distributed Constraint Optimization with Metareasoning and Application to Continual Satellite Operations

Itai Zilberstein, Steve Chien

Dynamic distributed constraint optimization problems (DDCOPs) provide a general framework for coordinating autonomous agents in changing environments. However, existing DDCOP formu…

cs.LG2026

Aligning Data-Driven Predictors with Allocation: A Decision-Focused Approach to Survival Analysis

Itai Zilberstein, Ioannis Anagnostides, Tuomas Sandholm

Machine learning predictors have become essential tools for guiding automated decision making. However, a major misalignment persists: predictive models are typically optimized in…

cs.LG2026

Position: Machine Learning for Heart Transplant Allocation Policy Optimization Should Account for Incentives

Ioannis Anagnostides, Itai Zilberstein, Zachary W. Sollie +2

The allocation of scarce donor organs constitutes one of the most consequential algorithmic challenges in healthcare. While the field is rapidly transitioning from rigid, rule-base…

cs.GT2026

Is Four Enough? Automated Reasoning Approaches and Dual Bounds for Condorcet Dimensions of Elections

Itai Zilberstein, Ratip Emin Berker, George Li +1

In an election where voters rank candidates, a Condorcet winning set is a committee of candidates such that for any outside candidate, a majority of voters prefer some…

cs.RO2026

Dynamic Targeting of Satellite Observations Using Supplemental Geostationary Satellite Data and Hierarchical Planning

Akseli Kangaslahti, Itai Zilberstein, Alberto Candela +1

The Dynamic Targeting (DT) mission concept is an approach to satellite observation in which a lookahead sensor gathers information about the upcoming environment and uses this info…