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Terrence W.K. Mak

Georgia Institute of Technology

13 papers hereh-index 15898 citations34 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author9

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • math.OC3
  • eess.SP2
  • eess.SY2
  • cs.AI1
  • cs.CR1
affiliations
  • Georgia Institute of Technology
Homepage

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedHigh-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow

42 citations · 50 across the 4 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

eess.SP2020★ 42 cited

High-Fidelity Machine Learning Approximations of Large-Scale Optimal Power Flow

Minas Chatzos, Ferdinando Fioretto, Terrence W. K. Mak +1

The AC Optimal Power Flow (AC-OPF) is a key building block in many power system applications. It determines generator setpoints at minimal cost that meet the power demands while sa…

math.OC2020

Bilevel Optimization for Differentially Private Optimization in Energy Systems

Terrence W. K. Mak, Ferdinando Fioretto, Pascal Van Hentenryck

This paper studies how to apply differential privacy to constrained optimization problems whose inputs are sensitive. This task raises significant challenges since random perturbat…

cs.LG2020

Lagrangian Duality for Constrained Deep Learning

Ferdinando Fioretto, Pascal Van Hentenryck, Terrence WK Mak +3

This paper explores the potential of Lagrangian duality for learning applications that feature complex constraints. Such constraints arise in many science and engineering domains,…

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