activity
20242026
collaborators
Showing stat.MLShow all

5 papers · 1 filter

stat.ML2026

Risk-Averse Decision Making with Multi-Level Reliability Guarantees

Amirmohammad Farzaneh, Osvaldo Simeone

Many applications in engineering, including wireless broadcasting, require designs that provide performance certificates at different target outage levels. This paper studies the p…

stat.ML2026

Conformal Risk-Averse Decision Making with Optimized Certainty Equivalent Risk Control

Amirmohammad Farzaneh, Osvaldo Simeone

We study risk-averse decision making, in which an agent selects actions while being uncertain about the true system state. The risk is measured via optimized certainty equivalent (…

stat.ML2026

Think Short, Defer Smart, Act, and Repeat: Calibrated Reasoning and Uncertainty-Aware Deferral for Edge LLM Agents

Amirmohammad Farzaneh, Osvaldo Simeone

LLM agents following the ReAct paradigm are promising enablers of complex multi-step tasks, including multi-hop question answering, code generation, and control of physical AI syst…

stat.ML2026

Statistically Valid Post-Training Hyperparameter Selection: From Tuning to Guarantees

Amirmohammad Farzaneh, Osvaldo Simeone

Post-training hyperparameter selection is a critical step in the deployment of modern artificial intelligence systems, given the need to tune degrees of freedom of pre-trained mode…

stat.ML2026

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…