OptiMind: Teaching LLMs to Think Like Optimization Experts
Zeyi Chen, Xinzhi Zhang, Humishka Zope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan (Jana) Kulkarni, Ishai Menache, Sirui Li
September 2025
Marco Molinaro
Principal Researcher
出版物
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Integral Online Algorithms for Set Cover and Load Balancing with Convex Objectives
Thomas Kesselheim, Marco Molinaro, Kalen Patton, Sahil Singla
FOCS | August 2025
-
Kamino: Efficient VM Allocation at Scale with Latency-Driven Cache-Aware Scheduling
David Domingo, Hugo Barbalho, Marco Molinaro, Kuan Liu, Abhisek Pan, David Dion, Thomas Moscibroda, Sudarsun Kannan, Ishai Menache
OSDI 2025 | July 2025
-
The Power of Migrations in Dynamic Bin Packing
Konstantina Mellou, Marco Molinaro, Rudy Zhou
ACM SIGMETRICS | June 2025
-
Decision Trees with Short Explainable Rules
Victor Feitosa Souza, F. Cicalese, E. Laber, M. Molinaro, Marco Molinaro
Theoretical Computer Science | May 2025
-
Online Scheduling for LLM Inference with KV Cache Constraints
Patrick Jaillet, Jiashuo Jiang, Konstantina Mellou, Marco Molinaro, Chara Podimata, Zijie Zhou
May 2025
-
Non-Monotonicity of Branching Rules with Respect to Linear Relaxations
Prachi Shah, Santanu S. Dey, Marco Molinaro
INFORMS Journal on Computing | February 2025
-
Online Rack Placement in Large-Scale Data Centers
Saumil Baxi, Kayla Cummings, Alexandre Jacquillat, Sean Lo, Rob McDonald, Konstantina Mellou, Ishai Menache, Marco Molinaro
January 2025
-
Information Complexity of Mixed-Integer Convex Optimization
A. Basu, Hongyi Jiang, Phillip A. Kerger, Marco Molinaro
Math. Program. | January 2025, 巻210: pp. 3-45
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-
-
A theoretical and computational analysis of full strong-branching
Santanu S. Dey, Yatharth Dubey, Marco Molinaro, Prachi Shah
Math Programming | October 2024, 巻205: pp. 303-336
-
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 | July 2024
-
Lipschitz Selectors May Not Yield Competitive Algorithms for Convex Body Chasing
C. Argue, Anupam Gupta, Marco Molinaro
Discrete and Computational Geometry | April 2024, 巻70
-
Supermodular Approximation of Norms and Applications
Thomas Kesselheim, Marco Molinaro, Sahil Singla
2024 Symposium on the Theory of Computing | April 2024
-
-
-
Solving sparse principal component analysis with global support
Santanu S. Dey, Marco Molinaro, Guanyi Wang
Mathematical Programming | October 2023, 巻199: pp. 421-459
-
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
-
Strong Convexity of Feasible Sets in Off-line and Online Optimization
Mathematics of Operations Research | February 2023, 巻48(2)
-
Time-Constrained Learning
Sergio Filho, E. Laber, Pedro Lazera, Marco Molinaro
Pattern Recognit. | February 2023, 巻142
-
MSR CORE’s Optimization Toolkit
MSR-TR-2023-10 | February 2023
Microsoft による投稿
-
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, 巻198: pp. 539-559
-
-
-
Decision Trees with Short Explainable Rules
Victor Feitosa Souza, F. Cicalese, E. Laber, Marco Molinaro
NeurIPS | December 2022
-
Robust Secretary and Prophet Algorithms for Packing Integer Programs
C. Argue, Anupam Gupta, Marco Molinaro, Sahil Singla
SODA | December 2022
-
Sparse PSD approximation of the PSD cone
Grigoriy Blekherman, Santanu S. Dey, Marco Molinaro, Shengding Sun
Mathematical Programming | February 2022, 巻191: pp. 981-1004
-
-
-
Robust Algorithms for Online Convex Problems via Primal-Dual
SODA | November 2021
-
Branch-and-Bound Solves Random Binary IPs in Polytime
Santanu S. Dey, Yatharth Dubey, Marco Molinaro
SODA | July 2021
-
-
-
Knapsack Secretary with Bursty Adversary
Thomas Kesselheim, Marco Molinaro
ICALP | November 2020
-
Teaching with Limited Information on the Learner’s Behaviour
F. Cicalese, Sergio Filho, E. Laber, Marco Molinaro
ICML | July 2020
-
-
-
k-Servers with a Smile: Online Algorithms via Projections
Niv Buchbinder, Anupam Gupta, Marco Molinaro, J. Naor
SODA | October 2019
-
Stochastic ℓp Load Balancing and Moment Problems via the L-Function Method
SODA | October 2019
-
Lower Bounds on the Lattice-Free Rank for Packing and Covering Integer Programs
Merve Bodur, Alberto Del Pia, Santanu S. Dey, Marco Molinaro
SIAM J. Optim. | September 2019, 巻29(1): pp. 55-76
-
-
-
Improving the Randomization Step in Feasibility Pump
Santanu Dey, Andres Iroume, Marco Molinaro, Domenico Salvagnin
SIAM Journal on Optimization | November 2018, 巻28
-
Binary Partitions with Approximate Minimum Impurity
E. Laber, Marco Molinaro, Felipe de A. Mello Pereira
ICML | July 2018, pp. 2860-2868
-
Aggregation-based cutting-planes for packing and covering integer programs
Merve Bodur, Alberto Del Pia, Santanu S. Dey, Marco Molinaro, S. Pokutta
Mathematical Programming | June 2018, 巻171: pp. 331-359
-
Theoretical challenges towards cutting-plane selection
Santanu S. Dey, Marco Molinaro
Mathematical Programming | May 2018, 巻170: pp. 237-266
-
Minimal cut-generating functions are nearly extreme
A. Basu, R. Hildebrand, Marco Molinaro
Mathematical Programming | May 2018, 巻172: pp. 329-349
-
Maximizing Profit with Convex Costs in the Random-order Model
Anupam Gupta, R. Mehta, Marco Molinaro
ICALP | April 2018
-
Analysis of Sparse Cutting Planes for Sparse MILPs with Applications to Stochastic MILPs
Santanu S. Dey, Marco Molinaro, Qianyi Wang
Math. Oper. Res. | January 2018, 巻43: pp. 304-332
-
-
-
Online and Random-order Load Balancing Simultaneously
SODA | October 2017
-
Mixed-integer quadratic programming is in NP
Alberto Del Pia, Santanu S. Dey, Marco Molinaro
Mathematical Programming | July 2017, 巻162: pp. 225-240
-
Bounding the gap between the McCormick relaxation and the convex hull for bilinear functions
N. Boland, Santanu S. Dey, T. Kalinowski, Marco Molinaro, F. Rigterink
Mathematical Programming | May 2017, 巻162: pp. 523-535
-
-
-
OptiMind: Teaching LLMs to Think Like Optimization Experts
Zeyi Chen, Xinzhi Zhang, Humishka Zope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan (Jana) Kulkarni, Ishai Menache, Sirui Li
September 2025
-
Online Scheduling for LLM Inference with KV Cache Constraints
Patrick Jaillet, Jiashuo Jiang, Konstantina Mellou, Marco Molinaro, Chara Podimata, Zijie Zhou
May 2025
-
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
-
Time-Constrained Learning
Sergio Filho, E. Laber, Pedro Lazera, Marco Molinaro
Pattern Recognit. | February 2023, 巻142
-
MSR CORE’s Optimization Toolkit
MSR-TR-2023-10 | February 2023
Microsoft による投稿
-
Decision Trees with Short Explainable Rules
Victor Feitosa Souza, F. Cicalese, E. Laber, Marco Molinaro
NeurIPS | December 2022
-
Teaching with Limited Information on the Learner’s Behaviour
F. Cicalese, Sergio Filho, E. Laber, Marco Molinaro
ICML | July 2020
-
Binary Partitions with Approximate Minimum Impurity
E. Laber, Marco Molinaro, Felipe de A. Mello Pereira
ICML | July 2018, pp. 2860-2868
-
-
-
OptiMind: Teaching LLMs to Think Like Optimization Experts
Zeyi Chen, Xinzhi Zhang, Humishka Zope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan (Jana) Kulkarni, Ishai Menache, Sirui Li
September 2025
-
Online Rack Placement in Large-Scale Data Centers
Saumil Baxi, Kayla Cummings, Alexandre Jacquillat, Sean Lo, Rob McDonald, Konstantina Mellou, Ishai Menache, Marco Molinaro
January 2025
-
-
-
Integral Online Algorithms for Set Cover and Load Balancing with Convex Objectives
Thomas Kesselheim, Marco Molinaro, Kalen Patton, Sahil Singla
FOCS | August 2025
-
The Power of Migrations in Dynamic Bin Packing
Konstantina Mellou, Marco Molinaro, Rudy Zhou
ACM SIGMETRICS | June 2025
-
Decision Trees with Short Explainable Rules
Victor Feitosa Souza, F. Cicalese, E. Laber, M. Molinaro, Marco Molinaro
Theoretical Computer Science | May 2025
-
Online Scheduling for LLM Inference with KV Cache Constraints
Patrick Jaillet, Jiashuo Jiang, Konstantina Mellou, Marco Molinaro, Chara Podimata, Zijie Zhou
May 2025
-
Non-Monotonicity of Branching Rules with Respect to Linear Relaxations
Prachi Shah, Santanu S. Dey, Marco Molinaro
INFORMS Journal on Computing | February 2025
-
Online Rack Placement in Large-Scale Data Centers
Saumil Baxi, Kayla Cummings, Alexandre Jacquillat, Sean Lo, Rob McDonald, Konstantina Mellou, Ishai Menache, Marco Molinaro
January 2025
-
Information Complexity of Mixed-Integer Convex Optimization
A. Basu, Hongyi Jiang, Phillip A. Kerger, Marco Molinaro
Math. Program. | January 2025, 巻210: pp. 3-45
-
A theoretical and computational analysis of full strong-branching
Santanu S. Dey, Yatharth Dubey, Marco Molinaro, Prachi Shah
Math Programming | October 2024, 巻205: pp. 303-336
-
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 | July 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
Discrete and Computational Geometry | April 2024, 巻70
-
Solving sparse principal component analysis with global support
Santanu S. Dey, Marco Molinaro, Guanyi Wang
Mathematical Programming | October 2023, 巻199: pp. 421-459
-
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
-
Strong Convexity of Feasible Sets in Off-line and Online Optimization
Mathematics of Operations Research | February 2023, 巻48(2)
-
Time-Constrained Learning
Sergio Filho, E. Laber, Pedro Lazera, Marco Molinaro
Pattern Recognit. | February 2023, 巻142
-
MSR CORE’s Optimization Toolkit
MSR-TR-2023-10 | February 2023
Microsoft による投稿
-
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, 巻198: pp. 539-559
-
Robust Secretary and Prophet Algorithms for Packing Integer Programs
C. Argue, Anupam Gupta, Marco Molinaro, Sahil Singla
SODA | December 2022
-
Sparse PSD approximation of the PSD cone
Grigoriy Blekherman, Santanu S. Dey, Marco Molinaro, Shengding Sun
Mathematical Programming | February 2022, 巻191: pp. 981-1004
-
Robust Algorithms for Online Convex Problems via Primal-Dual
SODA | November 2021
-
Branch-and-Bound Solves Random Binary IPs in Polytime
Santanu S. Dey, Yatharth Dubey, Marco Molinaro
SODA | July 2021
-
Knapsack Secretary with Bursty Adversary
Thomas Kesselheim, Marco Molinaro
ICALP | November 2020
-
k-Servers with a Smile: Online Algorithms via Projections
Niv Buchbinder, Anupam Gupta, Marco Molinaro, J. Naor
SODA | October 2019
-
Stochastic ℓp Load Balancing and Moment Problems via the L-Function Method
SODA | October 2019
-
Lower Bounds on the Lattice-Free Rank for Packing and Covering Integer Programs
Merve Bodur, Alberto Del Pia, Santanu S. Dey, Marco Molinaro
SIAM J. Optim. | September 2019, 巻29(1): pp. 55-76
-
Improving the Randomization Step in Feasibility Pump
Santanu Dey, Andres Iroume, Marco Molinaro, Domenico Salvagnin
SIAM Journal on Optimization | November 2018, 巻28
-
Aggregation-based cutting-planes for packing and covering integer programs
Merve Bodur, Alberto Del Pia, Santanu S. Dey, Marco Molinaro, S. Pokutta
Mathematical Programming | June 2018, 巻171: pp. 331-359
-
Theoretical challenges towards cutting-plane selection
Santanu S. Dey, Marco Molinaro
Mathematical Programming | May 2018, 巻170: pp. 237-266
-
Minimal cut-generating functions are nearly extreme
A. Basu, R. Hildebrand, Marco Molinaro
Mathematical Programming | May 2018, 巻172: pp. 329-349
-
Maximizing Profit with Convex Costs in the Random-order Model
Anupam Gupta, R. Mehta, Marco Molinaro
ICALP | April 2018
-
Analysis of Sparse Cutting Planes for Sparse MILPs with Applications to Stochastic MILPs
Santanu S. Dey, Marco Molinaro, Qianyi Wang
Math. Oper. Res. | January 2018, 巻43: pp. 304-332
-
Online and Random-order Load Balancing Simultaneously
SODA | October 2017
-
Mixed-integer quadratic programming is in NP
Alberto Del Pia, Santanu S. Dey, Marco Molinaro
Mathematical Programming | July 2017, 巻162: pp. 225-240
-
Bounding the gap between the McCormick relaxation and the convex hull for bilinear functions
N. Boland, Santanu S. Dey, T. Kalinowski, Marco Molinaro, F. Rigterink
Mathematical Programming | May 2017, 巻162: pp. 523-535
-
-
-
Kamino: Efficient VM Allocation at Scale with Latency-Driven Cache-Aware Scheduling
David Domingo, Hugo Barbalho, Marco Molinaro, Kuan Liu, Abhisek Pan, David Dion, Thomas Moscibroda, Sudarsun Kannan, Ishai Menache
OSDI 2025 | July 2025
-
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
-
-
-
OptiMind: Teaching LLMs to Think Like Optimization Experts
Zeyi Chen, Xinzhi Zhang, Humishka Zope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan (Jana) Kulkarni, Ishai Menache, Sirui Li
September 2025
-
Online Scheduling for LLM Inference with KV Cache Constraints
Patrick Jaillet, Jiashuo Jiang, Konstantina Mellou, Marco Molinaro, Chara Podimata, Zijie Zhou
May 2025
-
Online Rack Placement in Large-Scale Data Centers
Saumil Baxi, Kayla Cummings, Alexandre Jacquillat, Sean Lo, Rob McDonald, Konstantina Mellou, Ishai Menache, Marco Molinaro
January 2025
-
-
-
Integral Online Algorithms for Set Cover and Load Balancing with Convex Objectives
Thomas Kesselheim, Marco Molinaro, Kalen Patton, Sahil Singla
FOCS | August 2025
-
Kamino: Efficient VM Allocation at Scale with Latency-Driven Cache-Aware Scheduling
David Domingo, Hugo Barbalho, Marco Molinaro, Kuan Liu, Abhisek Pan, David Dion, Thomas Moscibroda, Sudarsun Kannan, Ishai Menache
OSDI 2025 | July 2025
-
The Power of Migrations in Dynamic Bin Packing
Konstantina Mellou, Marco Molinaro, Rudy Zhou
ACM SIGMETRICS | June 2025
-
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 | July 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
-
Robust Secretary and Prophet Algorithms for Packing Integer Programs
C. Argue, Anupam Gupta, Marco Molinaro, Sahil Singla
SODA | December 2022
-
Robust Algorithms for Online Convex Problems via Primal-Dual
SODA | November 2021
-
Branch-and-Bound Solves Random Binary IPs in Polytime
Santanu S. Dey, Yatharth Dubey, Marco Molinaro
SODA | July 2021
-
Knapsack Secretary with Bursty Adversary
Thomas Kesselheim, Marco Molinaro
ICALP | November 2020
-
Teaching with Limited Information on the Learner’s Behaviour
F. Cicalese, Sergio Filho, E. Laber, Marco Molinaro
ICML | July 2020
-
k-Servers with a Smile: Online Algorithms via Projections
Niv Buchbinder, Anupam Gupta, Marco Molinaro, J. Naor
SODA | October 2019
-
Stochastic ℓp Load Balancing and Moment Problems via the L-Function Method
SODA | October 2019
-
Maximizing Profit with Convex Costs in the Random-order Model
Anupam Gupta, R. Mehta, Marco Molinaro
ICALP | April 2018
-
Online and Random-order Load Balancing Simultaneously
SODA | October 2017
-
-
-
Decision Trees with Short Explainable Rules
Victor Feitosa Souza, F. Cicalese, E. Laber, M. Molinaro, Marco Molinaro
Theoretical Computer Science | May 2025
-
Non-Monotonicity of Branching Rules with Respect to Linear Relaxations
Prachi Shah, Santanu S. Dey, Marco Molinaro
INFORMS Journal on Computing | February 2025
-
Information Complexity of Mixed-Integer Convex Optimization
A. Basu, Hongyi Jiang, Phillip A. Kerger, Marco Molinaro
Math. Program. | January 2025, 巻210: pp. 3-45
-
A theoretical and computational analysis of full strong-branching
Santanu S. Dey, Yatharth Dubey, Marco Molinaro, Prachi Shah
Math Programming | October 2024, 巻205: pp. 303-336
-
Lipschitz Selectors May Not Yield Competitive Algorithms for Convex Body Chasing
C. Argue, Anupam Gupta, Marco Molinaro
Discrete and Computational Geometry | April 2024, 巻70
-
Solving sparse principal component analysis with global support
Santanu S. Dey, Marco Molinaro, Guanyi Wang
Mathematical Programming | October 2023, 巻199: pp. 421-459
-
Strong Convexity of Feasible Sets in Off-line and Online Optimization
Mathematics of Operations Research | February 2023, 巻48(2)
-
Time-Constrained Learning
Sergio Filho, E. Laber, Pedro Lazera, Marco Molinaro
Pattern Recognit. | February 2023, 巻142
-
Lower bounds on the size of general branch-and-bound trees
Santanu S. Dey, Yatharth Dubey, Marco Molinaro
Mathematical Programming | January 2023, 巻198: pp. 539-559
-
Sparse PSD approximation of the PSD cone
Grigoriy Blekherman, Santanu S. Dey, Marco Molinaro, Shengding Sun
Mathematical Programming | February 2022, 巻191: pp. 981-1004
-
Lower Bounds on the Lattice-Free Rank for Packing and Covering Integer Programs
Merve Bodur, Alberto Del Pia, Santanu S. Dey, Marco Molinaro
SIAM J. Optim. | September 2019, 巻29(1): pp. 55-76
-
Improving the Randomization Step in Feasibility Pump
Santanu Dey, Andres Iroume, Marco Molinaro, Domenico Salvagnin
SIAM Journal on Optimization | November 2018, 巻28
-
Binary Partitions with Approximate Minimum Impurity
E. Laber, Marco Molinaro, Felipe de A. Mello Pereira
ICML | July 2018, pp. 2860-2868
-
Aggregation-based cutting-planes for packing and covering integer programs
Merve Bodur, Alberto Del Pia, Santanu S. Dey, Marco Molinaro, S. Pokutta
Mathematical Programming | June 2018, 巻171: pp. 331-359
-
Theoretical challenges towards cutting-plane selection
Santanu S. Dey, Marco Molinaro
Mathematical Programming | May 2018, 巻170: pp. 237-266
-
Minimal cut-generating functions are nearly extreme
A. Basu, R. Hildebrand, Marco Molinaro
Mathematical Programming | May 2018, 巻172: pp. 329-349
-
Analysis of Sparse Cutting Planes for Sparse MILPs with Applications to Stochastic MILPs
Santanu S. Dey, Marco Molinaro, Qianyi Wang
Math. Oper. Res. | January 2018, 巻43: pp. 304-332
-
Mixed-integer quadratic programming is in NP
Alberto Del Pia, Santanu S. Dey, Marco Molinaro
Mathematical Programming | July 2017, 巻162: pp. 225-240
-
Bounding the gap between the McCormick relaxation and the convex hull for bilinear functions
N. Boland, Santanu S. Dey, T. Kalinowski, Marco Molinaro, F. Rigterink
Mathematical Programming | May 2017, 巻162: pp. 523-535
-
-
-
MSR CORE’s Optimization Toolkit
MSR-TR-2023-10 | February 2023
Microsoft による投稿
-