5 papers
Explore Once, Evaluate Many: Multiple Policy Evaluation for Stochastic Linear Bandits
Spyros Dragazis, Yilei Chen, Aldo Pacchiano
We study how to evaluate target policies simultaneously in stochastic contextual bandits with linear reward structure. Given a known -dimensional feature map and reward-free…
Safety by Design: Realized-Cost Constraints for Contextual Bandits with Continuous Actions
Spyros Dragazis, Aldo Pacchiano
Contextual bandits are a standard framework for sequential decision-making under uncertainty, with applications in clinical trials, dosage selection, recommendation systems, and au…
Estimating Hitting Times Locally At Scale
Themistoklis Haris, Fabian Spaeh, Spyros Dragazis +1
Hitting times provide a fundamental measure of distance in random processes, quantifying the expected number of steps for a random walk starting at node to reach node . They…
Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377
To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…
The Good, the Bad, and the Sampled: a No-Regret Approach to Safe Online Classification
Tavor Z. Baharav, Spyros Dragazis, Aldo Pacchiano
We study sequential testing for a binary disease outcome when risk follows an unknown logistic model. At each round, the decision maker may either pay for a test revealing the true…