Vassilis Digalakis Jr.

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Machine Learning

Density Estimators

Top Venues

Publications

Vassilis Digalakis Jr., Yu Ma, Phevos Paschalidis, Dimitris Bertsimas
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences. CoRR (2024)
Vassilis Digalakis Jr.
Data Analytics with Differential Privacy. CoRR (2023)
Vassilis Digalakis Jr., Christos Ziakas
BackboneLearn: A Library for Scaling Mixed-Integer Optimization-Based Machine Learning. CoRR (2023)
Dimitris Bertsimas, Vassilis Digalakis Jr.
Improving Stability in Decision Tree Models. CoRR (2023)
Vassilis Digalakis Jr., George N. Karystinos, Minos N. Garofalakis
Improved Pan-Private Stream Density Estimation. CoRR (2021)
Dimitris Bertsimas, Vassilis Digalakis Jr., Michael Lingzhi Li, Omar Skali Lami
Slowly Varying Regression under Sparsity. CoRR (2021)
Dimitris Bertsimas, Vassilis Digalakis Jr.
The Backbone Method for Ultra-High Dimensional Sparse Machine Learning. CoRR (2020)
Dimitris Bertsimas, Vassilis Digalakis Jr.
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme. CoRR (2020)