28 citations · 127 across the 46 of their papers we have counts for
5 papers · 1 filter
Prediction-Augmented Trees for Reliable Statistical Inference
Vikram Kher, Argyris Oikonomou, Manolis Zampetakis
The remarkable success of machine learning (ML) in predictive tasks has led scientists to incorporate ML predictions as a core component of the scientific discovery pipeline. This…
What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness
Yang Cai, Alkis Kalavasis, Katerina Mamali +2
Most of the widely used estimators of the average treatment effect (ATE) in causal inference rely on the assumptions of unconfoundedness and overlap. Unconfoundedness requires that…
Private Statistical Estimation via Truncation
Manolis Zampetakis, Felix Zhou
We introduce a novel framework for differentially private (DP) statistical estimation via data truncation, addressing a key challenge in DP estimation when the data support is unbo…
Smoothed Analysis of Learning from Positive Samples
Jane H. Lee, Anay Mehrotra, Manolis Zampetakis
Binary classification from positive-only samples is a variant of PAC learning where the learner receives i.i.d. positive samples and aims to learn a classifier with low error. Prev…
Fixed Point Computation: Beating Brute Force with Smoothed Analysis
Idan Attias, Yuval Dagan, Constantinos Daskalakis +2
We propose a new algorithm that finds an -approximate fixed point of a smooth function from the -dimensional unit ball to itself. We use the general framew…