A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles
Amitabh Basu, Hongyi Jiang, Phillip Kerger, Marco Molinaro
2024 International Conference on Machine Learning | May 2024
Marco Molinaro
Principal Researcher
Publications
Publication Type
-
Lipschitz Selectors May Not Yield Competitive Algorithms for Convex Body Chasing
C. Argue, Anupam Gupta, Marco Molinaro
April 2024
Supermodular Approximation of Norms and Applications
Thomas Kesselheim, Marco Molinaro, Sahil Singla
2024 Symposium on the Theory of Computing | April 2024
-
Information Complexity of Mixed-Integer Convex Optimization
A. Basu, Hongyi Jiang, Phillip A. Kerger, Marco Molinaro
IPCO | August 2023
Online Demand Scheduling with Failovers
Konstantina Mellou, Marco Molinaro, Rudy Zhou
ICALP | July 2023
Virtual Machine Allocation with Lifetime Predictions
Hugo Barbalho, Patricia Kovaleski, Beibin Li, Luke Marshall, Marco Molinaro, Abhisek Pan, Eli Cortez, Matheus Leao, Harsh Patwari, Zuzu Tang, Tamires Santos, Larissa Rozales Gonçalves, David Dion, Thomas Moscibroda, Ishai Menache
MLSys | June 2023
Outstanding Paper Award
MSR CORE’s Optimization Toolkit
MSR-TR-2023-10 | February 2023
Publié par Microsoft
Online and Bandit Algorithms Beyond 𝓁p Norms
Thomas Kesselheim, Marco Molinaro, Sahil Singla
2023 Symposium on Discrete Algorithms | January 2023
Lower bounds on the size of general branch-and-bound trees
Santanu S. Dey, Yatharth Dubey, Marco Molinaro
Mathematical Programming | January 2023, Vol 198: pp. 539-559
-
Decision Trees with Short Explainable Rules
Victor Feitosa Souza, F. Cicalese, E. Laber, Marco Molinaro
NeurIPS | December 2022
Curvature of Feasible Sets in Offline and Online Optimization
Mathematics of Operations Research | February 2022, Vol abs/2002.03213
Time-Constrained Learning
Sergio Filho, E. Laber, Pedro Lazera, Marco Molinaro
Pattern Recognit. | February 2022, Vol 142: pp. 109672
Filtre par zone de recherche
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A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles
Amitabh Basu, Hongyi Jiang, Phillip Kerger, Marco Molinaro
2024 International Conference on Machine Learning | May 2024
Supermodular Approximation of Norms and Applications
Thomas Kesselheim, Marco Molinaro, Sahil Singla
2024 Symposium on the Theory of Computing | April 2024
Lipschitz Selectors May Not Yield Competitive Algorithms for Convex Body Chasing
C. Argue, Anupam Gupta, Marco Molinaro
April 2024
Information Complexity of Mixed-Integer Convex Optimization
A. Basu, Hongyi Jiang, Phillip A. Kerger, Marco Molinaro
IPCO | August 2023
Online Demand Scheduling with Failovers
Konstantina Mellou, Marco Molinaro, Rudy Zhou
ICALP | July 2023
Virtual Machine Allocation with Lifetime Predictions
Hugo Barbalho, Patricia Kovaleski, Beibin Li, Luke Marshall, Marco Molinaro, Abhisek Pan, Eli Cortez, Matheus Leao, Harsh Patwari, Zuzu Tang, Tamires Santos, Larissa Rozales Gonçalves, David Dion, Thomas Moscibroda, Ishai Menache
MLSys | June 2023
Outstanding Paper Award
MSR CORE’s Optimization Toolkit
MSR-TR-2023-10 | February 2023
Publié par Microsoft
Online and Bandit Algorithms Beyond 𝓁p Norms
Thomas Kesselheim, Marco Molinaro, Sahil Singla
2023 Symposium on Discrete Algorithms | January 2023
Lower bounds on the size of general branch-and-bound trees
Santanu S. Dey, Yatharth Dubey, Marco Molinaro
Mathematical Programming | January 2023, Vol 198: pp. 539-559
Curvature of Feasible Sets in Offline and Online Optimization
Mathematics of Operations Research | February 2022, Vol abs/2002.03213
-
Virtual Machine Allocation with Lifetime Predictions
Hugo Barbalho, Patricia Kovaleski, Beibin Li, Luke Marshall, Marco Molinaro, Abhisek Pan, Eli Cortez, Matheus Leao, Harsh Patwari, Zuzu Tang, Tamires Santos, Larissa Rozales Gonçalves, David Dion, Thomas Moscibroda, Ishai Menache
MLSys | June 2023
Outstanding Paper Award
MSR CORE’s Optimization Toolkit
MSR-TR-2023-10 | February 2023
Publié par Microsoft
Decision Trees with Short Explainable Rules
Victor Feitosa Souza, F. Cicalese, E. Laber, Marco Molinaro
NeurIPS | December 2022
Time-Constrained Learning
Sergio Filho, E. Laber, Pedro Lazera, Marco Molinaro
Pattern Recognit. | February 2022, Vol 142: pp. 109672
-
Virtual Machine Allocation with Lifetime Predictions
Hugo Barbalho, Patricia Kovaleski, Beibin Li, Luke Marshall, Marco Molinaro, Abhisek Pan, Eli Cortez, Matheus Leao, Harsh Patwari, Zuzu Tang, Tamires Santos, Larissa Rozales Gonçalves, David Dion, Thomas Moscibroda, Ishai Menache
MLSys | June 2023
Outstanding Paper Award
Publication Type
-
A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles
Amitabh Basu, Hongyi Jiang, Phillip Kerger, Marco Molinaro
2024 International Conference on Machine Learning | May 2024
Supermodular Approximation of Norms and Applications
Thomas Kesselheim, Marco Molinaro, Sahil Singla
2024 Symposium on the Theory of Computing | April 2024
Information Complexity of Mixed-Integer Convex Optimization
A. Basu, Hongyi Jiang, Phillip A. Kerger, Marco Molinaro
IPCO | August 2023
Online Demand Scheduling with Failovers
Konstantina Mellou, Marco Molinaro, Rudy Zhou
ICALP | July 2023
Virtual Machine Allocation with Lifetime Predictions
Hugo Barbalho, Patricia Kovaleski, Beibin Li, Luke Marshall, Marco Molinaro, Abhisek Pan, Eli Cortez, Matheus Leao, Harsh Patwari, Zuzu Tang, Tamires Santos, Larissa Rozales Gonçalves, David Dion, Thomas Moscibroda, Ishai Menache
MLSys | June 2023
Outstanding Paper Award
Online and Bandit Algorithms Beyond 𝓁p Norms
Thomas Kesselheim, Marco Molinaro, Sahil Singla
2023 Symposium on Discrete Algorithms | January 2023
Decision Trees with Short Explainable Rules
Victor Feitosa Souza, F. Cicalese, E. Laber, Marco Molinaro
NeurIPS | December 2022
-
Lipschitz Selectors May Not Yield Competitive Algorithms for Convex Body Chasing
C. Argue, Anupam Gupta, Marco Molinaro
April 2024
Lower bounds on the size of general branch-and-bound trees
Santanu S. Dey, Yatharth Dubey, Marco Molinaro
Mathematical Programming | January 2023, Vol 198: pp. 539-559
Curvature of Feasible Sets in Offline and Online Optimization
Mathematics of Operations Research | February 2022, Vol abs/2002.03213
Time-Constrained Learning
Sergio Filho, E. Laber, Pedro Lazera, Marco Molinaro
Pattern Recognit. | February 2022, Vol 142: pp. 109672
-
MSR CORE’s Optimization Toolkit
MSR-TR-2023-10 | February 2023
Publié par Microsoft