34 citations · 141 across the 44 of their papers we have counts for
5 papers · 1 filter
Learning Spatio-Temporal Aggregations for Large-Scale Capacity Expansion Problems
Aron Brenner, Rahman Khorramfar, Saurabh Amin
Effective investment planning decisions are crucial to ensure cyber-physical infrastructures satisfy performance requirements over an extended time horizon. Computing these decisio…
Effective Dimension in Bandit Problems under Censorship
Gauthier Guinet, Saurabh Amin, Patrick Jaillet
In this paper, we study both multi-armed and contextual bandit problems in censored environments. Our goal is to estimate the performance loss due to censorship in the context of c…
Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints
Aron Brenner, Rahman Khorramfar, Dharik Mallapragada +1
A rapid transformation of current electric power and natural gas (NG) infrastructure is imperative to meet the mid-century goal of CO2 emissions reduction requires. This necessitat…
Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems
Aron Brenner, Manxi Wu, Saurabh Amin
Modal split prediction in transportation networks has the potential to support network operators in managing traffic congestion and improving transit service reliability. We focus…
Integer Programming-based Error-Correcting Output Code Design for Robust Classification
Samarth Gupta, Saurabh Amin
Error-Correcting Output Codes (ECOCs) offer a principled approach for combining simple binary classifiers into multiclass classifiers. In this paper, we investigate the problem of…