activity
20192026
most citedUnrolling SGD: Understanding Factors Influencing Machine Unlearning

3 citations · 5 across the 3 of their papers we have counts for

collaborators

5 papers

math.OC2026

Routing in Line Networks with Handling Times

Gabriel Deza, Michal Tzur, Tal Raviv

Motivated by hyperconnected urban parcel networks for same-day and time-sensitive delivery, we study the fixed-line routing problem that arises when evaluating a candidate set of r…

cs.RO2022★ 2 cited

Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research

Ryan Hoque, Kaushik Shivakumar, Shrey Aeron +7

Autonomous fabric manipulation is a longstanding challenge in robotics, but evaluating progress is difficult due to the cost and diversity of robot hardware. Using Reach, a cloud r…

cs.LG2021

Interpretability in Safety-Critical FinancialTrading Systems

Gabriel Deza, Adelin Travers, Colin Rowat +1

Sophisticated machine learning (ML) models to inform trading in the financial sector create problems of interpretability and risk management. Seemingly robust forecasting models ma…

cs.LG2021★ 3 cited

Unrolling SGD: Understanding Factors Influencing Machine Unlearning

Anvith Thudi, Gabriel Deza, Varun Chandrasekaran +1

Machine unlearning is the process through which a deployed machine learning model is made to forget about some of its training data points. While naively retraining the model from…

math.OC2019

Optimization over Degree Sequences of Graphs

Gabriel Deza, Shmuel Onn

We consider the problem of finding a subgraph of a given graph minimizing the sum of given functions at vertices evaluated at their subgraph degrees. While the problem is NP-hard a…