15 citations · 29 across the 41 of their papers we have counts for
6 papers · 1 filter
Conformal Sequential Decision Making With Cost and Sublinear Policy Regret Guarantees
Jayadev Naram, Giuseppe Durisi, Matteo Zecchin +1
Automated decision makers, such as AI agents that control robots or network devices, must often satisfy hard cost constraints while maintaining competitive performance. In such set…
Conformal Individual Treatment Effect Estimation under Networked Interference
Matteo Zecchin, Osvaldo Simeone
Conformal counterfactual prediction constructs prediction sets with finite-sample coverage guarantees for counterfactual outcomes and individual treatment effects under the no-inte…
Should I Use This Synthetic Dataset for Training? How to Test with Minimal Real Data
Zhenyu Tao, Wei Xu, Xiaohu You +2
Digital twins (DTs) and learned world models are increasingly used to generate synthetic data that augment the scarce real datasets available for training artificial intelligence (…
Decision Making Needs Uncertainty Quantification [Lecture Notes]
Osvaldo Simeone
Many signal processing systems ultimately exist to act. Whenever the state variable that determines the action to be taken by a decision maker, or agent, is uncertain, the way that…
Post-Selection Distributional Model Evaluation
Amirmohammad Farzaneh, Osvaldo Simeone
Formal model evaluation methods typically certify that a model satisfies a prescribed target key performance indicator (KPI) level. However, in many applications, the relevant targ…
Universal Sequential Changepoint Detection of Quantum Observables via Classical Shadows
Matteo Zecchin, Osvaldo Simeone, Aaditya Ramdas
We study sequential quantum changepoint detection in settings where the pre- and post-change regimes are specified through constraints on the expectation values of a finite set of…