Asterios Tsiourvas

According to our database, Asterios Tsiourvas authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Overcoming the Optimizer's Curse: Obtaining Realistic Prescriptions from Neural Networks.

Asterios Tsiourvas, Georgia Perakis

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series.

Asterios Tsiourvas, Wei Sun, Georgia Perakis, Pin-Yu Chen, Yada Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Manifold-Aligned Counterfactual Explanations for Neural Networks.

Asterios Tsiourvas, Wei Sun, Georgia Perakis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

COVID-19: Prediction, Prevalence, and the Operations of Vaccine Allocation.

Amine Bennouna, Joshua Joseph, David Nze-Ndong, Georgia Perakis, Divya Singhvi, Omar Skali Lami, Yannis Spantidakis, Leann Thayaparan, Asterios Tsiourvas

Manuf. Serv. Oper. Manag., May, 2023

Discrete gradient flow approximations of high dimensional evolution partial differential equations via deep neural networks.

Emmanuil H. Georgoulis, Michail Loulakis, Asterios Tsiourvas

Commun. Nonlinear Sci. Numer. Simul., 2023

Learning Prescriptive ReLU Networks.

Wei Sun, Asterios Tsiourvas

Proceedings of the International Conference on Machine Learning, 2023

2022

Optimizing Objective Functions from Trained ReLU Neural Networks via Sampling.

Georgia Perakis, Asterios Tsiourvas

CoRR, 2022

2021

A Mechanism Design and Learning Approach for Revenue Maximization on Cloud Dynamic Spot Markets.

Asterios Tsiourvas, Constantinos Bitsakos, Ioannis Konstantinou, Dimitris Fotakis, Nectarios Koziris

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2019

BigOptiBase: Big Data Analytics for Base Station Energy Consumption Optimization.

Evdokia Kassela, Nikodimos Provatas, Asterios Tsiourvas, Ioannis Konstantinou, Nectarios Koziris

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019