Vassilis Digalakis Jr.

According to our database, Vassilis Digalakis Jr. authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences.

Vassilis Digalakis Jr., Yu Ma, Phevos Paschalidis, Dimitris Bertsimas

CoRR, 2024

2023

Data Analytics with Differential Privacy.

Vassilis Digalakis Jr.

CoRR, 2023

BackboneLearn: A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.

Vassilis Digalakis Jr., Christos Ziakas

CoRR, 2023

Improving Stability in Decision Tree Models.

Dimitris Bertsimas, Vassilis Digalakis Jr.

CoRR, 2023

2021

Improved Pan-Private Stream Density Estimation.

Vassilis Digalakis Jr., George N. Karystinos, Minos N. Garofalakis

CoRR, 2021

Slowly Varying Regression under Sparsity.

Dimitris Bertsimas, Vassilis Digalakis Jr., Michael Lingzhi Li, Omar Skali Lami

CoRR, 2021

2020

Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme.

Dimitris Bertsimas, Vassilis Digalakis Jr.

CoRR, 2020

The Backbone Method for Ultra-High Dimensional Sparse Machine Learning.

Dimitris Bertsimas, Vassilis Digalakis Jr.

CoRR, 2020