Abstract. We prove lower bounds on the randomized two-party communication complexity of functions that arise from read-once boolean formulae. A read-once boolean formula is a formu...
We argue that certain theoretical commitments that underpin much existing Interorganisational Information Systems (IOIS) research at small scales become untenable when IOIS are st...
Motivated by a machine learning perspective—that gametheoretic equilibria constraints should serve as guidelines for predicting agents’ strategies, we introduce maximum causal...
Neural Systems Engineering Lab (NSEL) at Michigan State University focuses on advancing neuroinformatics science by engineering new theoretical, computational and experimental tool...
We show by means of several examples that robust statistical estimators present an excellent starting point for differentially private estimators. Our algorithms use a new paradig...