1 citations · 1 across the 4 of their papers we have counts for
4 papers
Online Conformal Prediction: Enforcing monotonicity via Online Optimization
Eduardo Ochoa Rivera, Ambuj Tewari
Conformal prediction provides a principled framework for uncertainty quantification with finite-sample coverage guarantees. While recent work has extended conformal prediction to o…
Near Optimal Pure Exploration in Logistic Bandits
Eduardo Ochoa Rivera, Ambuj Tewari
Bandit algorithms have garnered significant attention due to their practical applications in real-world scenarios. However, beyond simple settings such as multi-arm or linear bandi…
Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation
Eduardo Ochoa Rivera, Yash Patel, Ambuj Tewari
Distribution-free uncertainty estimation for ensemble methods is increasingly desirable due to the widening deployment of multi-modal black-box predictive models. Conformal predict…
Optimal Thresholding Linear Bandit
Eduardo Ochoa Rivera, Ambuj Tewari
We study a novel pure exploration problem: the -Thresholding Bandit Problem (TBP) with fixed confidence in stochastic linear bandits. We prove a lower bound for the sample compl…