Rekatsinas, Theodoros

7 publications

ICLR 2024 Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos Nikolakakis, Amin Karbasi, Dionysios Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas

NeurIPS 2024 TSDS: Data Selection for Task-Specific Model Finetuning Zifan Liu, Amin Karbasi, Theodoros Rekatsinas

ICML 2021 On Robust Mean Estimation Under Coordinate-Level Corruption Zifan Liu, Jong Ho Park, Theodoros Rekatsinas, Christos Tzamos

ICML 2020 Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models Amrita Roy Chowdhury, Theodoros Rekatsinas, Somesh Jha

UAI 2019 Approximate Inference in Structured Instances with Noisy Categorical Observations Alireza Heidari, Ihab F. Ilyas, Theodoros Rekatsinas

ICLRW 2019 Unsupervised Functional Dependency Discovery for Data Preparation Zhihan Guo, Theodoros Rekatsinas

ICML 2015 HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades Xinran He, Theodoros Rekatsinas, James Foulds, Lise Getoor, Yan Liu