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ORCIDAndrea Lodi 0001
Person information
- affiliation: Cornell Tech, New York, USA
- affiliation (former): École Polytechnique de Montréal, Quebec, Canada
- affiliation (former): Università di Bologna, DEI "Guglielmo Marconi", Italy
- not to be confused with: Andrea Lodi 0002
Other persons with the same name
- Andrea Lodi 0002 — University of Bologna, ARCES, Italy
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2020 – today
- 2023
[j130]Margarida Carvalho
, Andrea Lodi:
A theoretical and computational equilibria analysis of a multi-player kidney exchange program. Eur. J. Oper. Res. 305(1): 373-385 (2023)- [j129]Borzou Rostami, Fausto Errico, Andrea Lodi:
A Convex Reformulation and an Outer Approximation for a Large Class of Binary Quadratic Programs. Oper. Res. 71(2): 471-486 (2023) - [j128]Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic:
Combinatorial Optimization and Reasoning with Graph Neural Networks. J. Mach. Learn. Res. 24: 130:1-130:61 (2023) - [j127]Andrea Lodi, Mathieu Tanneau, Juan Pablo Vielma:
Disjunctive cuts in Mixed-Integer Conic Optimization. Math. Program. 199(1): 671-719 (2023) - [j126]Didier Chételat, Andrea Lodi:
Continuous cutting plane algorithms in integer programming. Oper. Res. Lett. 51(4): 439-445 (2023) - [c57]Bart van Rossum, Rui Chen, Andrea Lodi:
Optimizing Fairness over Time with Homogeneous Workers (Short Paper). ATMOS 2023: 17:1-17:6 - [c56]Ítalo Santana, Andrea Lodi, Thibaut Vidal:
Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill? CPAIOR 2023: 184-199 - [c55]Federico Bobbio, Margarida Carvalho, Andrea Lodi, Ignacio Rios, Alfredo Torrico:
Capacity Planning in Stable Matching: An Application to School Choice. EC 2023: 295 - [i56]Gabriele Dragotto, Amine Boukhtouta, Andrea Lodi, Mehdi Taobane:
The Critical Node Game. CoRR abs/2303.05961 (2023) - [i55]Margarida Carvalho, Gabriele Dragotto, Andrea Lodi, Sriram Sankaranarayanan:
Integer Programming Games: A Gentle Computational Overview. CoRR abs/2306.02817 (2023) - [i54]Matteo Cacciola, Antonio Frangioni, Andrea Lodi:
Structured Pruning of Neural Networks for Constraints Learning. CoRR abs/2307.07457 (2023) - [i53]Krunal Kishor Patel, Guy Desaulniers, Andrea Lodi:
Revisiting column-generation-based matheuristic for learning classification trees. CoRR abs/2308.11477 (2023) - 2022
- [j125]Philippe Olivier, Andrea Lodi, Gilles Pesant:
Measures of balance in combinatorial optimization. 4OR 20(3): 391-415 (2022) - [j124]Jaime E. González, André A. Ciré, Andrea Lodi, Louis-Martin Rousseau:
BDD-based optimization for the quadratic stable set problem. Discret. Optim. 44(Part): 100610 (2022) - [j123]Margarida Carvalho, Andrea Lodi, João Pedro Pedroso:
Computing equilibria for integer programming games. Eur. J. Oper. Res. 303(3): 1057-1070 (2022) - [j122]Leandro Rincon Costa, Daniel Aloise, Luca Giovanni Gianoli, Andrea Lodi:
Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. J. Heuristics 28(4): 539-582 (2022) - [j121]Eric Larsen, Sébastien Lachapelle, Yoshua Bengio, Emma Frejinger, Simon Lacoste-Julien, Andrea Lodi:
Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information. INFORMS J. Comput. 34(1): 227-242 (2022) - [j120]David Bergman, Teng Huang, Philip Brooks, Andrea Lodi, Arvind U. Raghunathan:
JANOS: An Integrated Predictive and Prescriptive Modeling Framework. INFORMS J. Comput. 34(2): 807-816 (2022) - [j119]Sanjay Dominik Jena, Andrea Lodi, Claudio Sole:
On the Estimation of Discrete Choice Models to Capture Irrational Customer Behaviors. INFORMS J. Comput. 34(3): 1606-1625 (2022) - [j118]Borzou Rostami, Masoud Chitsaz, Okan Arslan, Gilbert Laporte, Andrea Lodi:
Single Allocation Hub Location with Heterogeneous Economies of Scale. Oper. Res. 70(2): 766-785 (2022) - [j117]Pierre Bonami, Andrea Lodi, Giulia Zarpellon:
A Classifier to Decide on the Linearization of Mixed-Integer Quadratic Problems in CPLEX. Oper. Res. 70(6): 3303-3320 (2022) - [j116]Andrea Lodi, Enrico Malaguti, Giacomo Nannicini, Dimitri Thomopulos:
Nonlinear chance-constrained problems with applications to hydro scheduling. Math. Program. 191(1): 405-444 (2022) - [j115]Benjamin Müller, Gonzalo Muñoz, Maxime Gasse, Ambros M. Gleixner, Andrea Lodi, Felipe Serrano:
On generalized surrogate duality in mixed-integer nonlinear programming. Math. Program. 192(1): 89-118 (2022) - [j114]Neta Gotlieb, Amirhossein Azhie, Divya Sharma, Ashley Spann, Nan-Ji Suo, Jason Tran, Ani Orchanian-Cheff, Bo Wang, Anna Goldenberg, Michael Chassé, Héloïse Cardinal, Joseph Paul Cohen, Andrea Lodi, Melanie Dieude, Mamatha Bhat:
The promise of machine learning applications in solid organ transplantation. npj Digit. Medicine 5 (2022) - [j113]Luca Accorsi, Andrea Lodi, Daniele Vigo:
Guidelines for the computational testing of machine learning approaches to vehicle routing problems. Oper. Res. Lett. 50(2): 229-234 (2022) - [j112]Santanu S. Dey, Aleksandr M. Kazachkov, Andrea Lodi, Gonzalo Muñoz:
Cutting Plane Generation through Sparse Principal Component Analysis. SIAM J. Optim. 32(2): 1319-1343 (2022) - [j111]Prateek Gupta, Elias Boutros Khalil, Didier Chételat, Maxime Gasse, Andrea Lodi, Yoshua Bengio, M. Pawan Kumar:
Lookback for Learning to Branch. Trans. Mach. Learn. Res. 2022 (2022) - [c54]Defeng Liu, Matteo Fischetti, Andrea Lodi:
Learning to Search in Local Branching. AAAI 2022: 3796-3803 - [c53]Elias B. Khalil, Christopher Morris, Andrea Lodi:
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. AAAI 2022: 10219-10227 - [c52]Jonathan Jalbert, Héloïse Cardinal, Andrea Lodi, Jean-Noël Weller, Hugo-Maxime Tocco:
Predicting Waiting Time and Quality of Kidney Offers for Kidney Transplant Candidates. AIME 2022: 220-229 - [c51]Nazgol Niroumandrad, Nadia Lahrichi, Andrea Lodi:
A Learning Metaheuristic Algorithm for a Scheduling Application. MIC 2022: 76-87 - [c50]Leandro Rincon Costa, Daniel Aloise, Luca Giovanni Gianoli, Andrea Lodi:
OptiMaP: swarm-powered Optimized 3D Mapping Pipeline for emergency response operations. DCOSS 2022: 269-276 - [c49]Abdel Ghani Labassi, Didier Chételat, Andrea Lodi:
Learning to Compare Nodes in Branch and Bound with Graph Neural Networks. NeurIPS 2022 - [c48]Lara Scavuzzo, Feng Yang Chen, Didier Chételat, Maxime Gasse, Andrea Lodi, Neil Yorke-Smith, Karen I. Aardal:
Learning to Branch with Tree MDPs. NeurIPS 2022 - [i52]Mouad Morabit, Guy Desaulniers, Andrea Lodi:
Machine-learning-based arc selection for constrained shortest path problems in column generation. CoRR abs/2201.02535 (2022) - [i51]Maxime Gasse, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. CoRR abs/2203.02433 (2022) - [i50]Eric Larsen, Emma Frejinger, Bernard Gendron, Andrea Lodi:
Fast Continuous and Integer L-shaped Heuristics Through Supervised Learning. CoRR abs/2205.00897 (2022) - [i49]Federico Bobbio, Margarida Carvalho, Andrea Lodi, Alfredo Torrico:
Capacity Variation in the Many-to-one Stable Matching. CoRR abs/2205.01302 (2022) - [i48]Lara Scavuzzo, Feng Yang Chen, Didier Chételat, Maxime Gasse, Andrea Lodi, Neil Yorke-Smith, Karen I. Aardal:
Learning to branch with Tree MDPs. CoRR abs/2205.11107 (2022) - [i47]Elias B. Khalil, Christopher Morris, Andrea Lodi:
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. CoRR abs/2205.14210 (2022) - [i46]Dounia Lakhmiri, Dominique Orban, Andrea Lodi:
A Stochastic Proximal Method for Nonsmooth Regularized Finite Sum Optimization. CoRR abs/2206.06531 (2022) - [i45]Matteo Cacciola, Antonio Frangioni, Xinlin Li, Andrea Lodi:
Deep Neural Networks pruning via the Structured Perspective Regularization. CoRR abs/2206.14056 (2022) - [i44]Prateek Gupta, Elias B. Khalil, Didier Chételat, Maxime Gasse, Yoshua Bengio, Andrea Lodi, M. Pawan Kumar:
Lookback for Learning to Branch. CoRR abs/2206.14987 (2022) - [i43]Krunal Kishor Patel, Guy Desaulniers, Andrea Lodi, Freddy Lécué:
Explainable prediction of Qcodes for NOTAMs using column generation. CoRR abs/2208.04955 (2022) - [i42]Ítalo Santana, Andrea Lodi, Thibaut Vidal:
Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill? CoRR abs/2210.12075 (2022) - [i41]Abdel Ghani Labassi, Didier Chételat, Andrea Lodi:
Learning to Compare Nodes in Branch and Bound with Graph Neural Networks. CoRR abs/2210.16934 (2022) - [i40]Rui Chen, Oktay Günlük, Andrea Lodi, Guanyi Wang:
A Simple Algorithm for Online Decision Making. CoRR abs/2211.03997 (2022) - [i39]Ruobing Shen, Bo Tang, Andrea Lodi, Ismail Ben Ayed, Thomas Guthier:
Connectivity-constrained Interactive Panoptic Segmentation. CoRR abs/2212.06756 (2022) - [i38]Mouad Morabit, Guy Desaulniers, Andrea Lodi:
Learning to repeatedly solve routing problems. CoRR abs/2212.08101 (2022) - [i37]Defeng Liu, Vincent Perreault, Alain Hertz, Andrea Lodi:
A machine learning framework for neighbor generation in metaheuristic search. CoRR abs/2212.11451 (2022) - [i36]Emma Frejinger, Andrea Lodi, Michele Lombardi, Neil Yorke-Smith:
Data-Driven Combinatorial Optimisation (Dagstuhl Seminar 22431). Dagstuhl Reports 12(10): 166-174 (2022) - 2021
- [j110]Maha Gmira, Michel Gendreau, Andrea Lodi, Jean-Yves Potvin:
Tabu search for the time-dependent vehicle routing problem with time windows on a road network. Eur. J. Oper. Res. 288(1): 129-140 (2021) - [j109]Yoshua Bengio, Andrea Lodi, Antoine Prouvost:
Machine learning for combinatorial optimization: A methodological tour d'horizon. Eur. J. Oper. Res. 290(2): 405-421 (2021) - [j108]Philippe Olivier, Andrea Lodi, Gilles Pesant:
The Quadratic Multiknapsack Problem with Conflicts and Balance Constraints. INFORMS J. Comput. 33(3): 949-962 (2021) - [j107]Borzou Rostami, Guy Desaulniers, Fausto Errico, Andrea Lodi:
Branch-Price-and-Cut Algorithms for the Vehicle Routing Problem with Stochastic and Correlated Travel Times. Oper. Res. 69(2): 436-455 (2021) - [j106]Andrea Baggio, Margarida Carvalho, Andrea Lodi, Andrea Tramontani:
Multilevel Approaches for the Critical Node Problem. Oper. Res. 69(2): 486-508 (2021) - [j105]Leandro Rincon Costa, Daniel Aloise, Luca Giovanni Gianoli, Andrea Lodi:
The Covering-Assignment Problem for Swarm-Powered Ad Hoc Clouds: A Distributed 3-D Mapping Usecase. IEEE Internet Things J. 8(9): 7316-7332 (2021) - [j104]Defeng Liu, Andrea Lodi, Mathieu Tanneau:
Learning chordal extensions. J. Glob. Optim. 81(1): 3-22 (2021) - [j103]Mathieu Tanneau, Miguel F. Anjos, Andrea Lodi:
Design and implementation of a modular interior-point solver for linear optimization. Math. Program. Comput. 13(3): 509-551 (2021) - [j102]Miguel F. Anjos, Youssouf Emine, Andrea Lodi, Zhao Sun:
A note on the Lasserre hierarchy for different formulations of the maximum independent set problem. Oper. Res. Lett. 49(1): 30-34 (2021) - [j101]Teodora Dan, Andrea Lodi, Patrice Marcotte:
An Exact Algorithmic Framework for a Class of Mixed-Integer Programs with Equilibrium Constraints. SIAM J. Optim. 31(1): 275-306 (2021) - [j100]Karen I. Aardal, Andrea Lodi, Andrea Tramontani, Frederik von Heymann, Laurence A. Wolsey:
Lattice Reformulation Cuts. SIAM J. Optim. 31(4): 2539-2557 (2021) - [j99]Mouad Morabit, Guy Desaulniers, Andrea Lodi:
Machine-Learning-Based Column Selection for Column Generation. Transp. Sci. 55(4): 815-831 (2021) - [c47]Giulia Zarpellon, Jason Jo, Andrea Lodi, Yoshua Bengio:
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies. AAAI 2021: 3931-3939 - [c46]Christopher Neal, Hanane Dagdougui, Andrea Lodi, José M. Fernandez:
Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm. CCWC 2021: 38-44 - [c45]Defeng Liu, Andrea Lodi:
Learning in Local Branching (Invited Talk). CP 2021: 3:1-3:2 - [c44]Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic:
Combinatorial Optimization and Reasoning with Graph Neural Networks. IJCAI 2021: 4348-4355 - [c43]Maxime Gasse, Simon Bowly, Quentin Cappart, Jonas Charfreitag, Laurent Charlin, Didier Chételat, Antonia Chmiela, Justin Dumouchelle, Ambros M. Gleixner, Aleksandr M. Kazachkov, Elias B. Khalil, Pawel Lichocki, Andrea Lodi, Miles Lubin, Chris J. Maddison, Christopher Morris, Dimitri J. Papageorgiou, Augustin Parjadis, Sebastian Pokutta, Antoine Prouvost, Lara Scavuzzo, Giulia Zarpellon, Linxin Yang, Sha Lai, Akang Wang, Xiaodong Luo, Xiang Zhou, Haohan Huang, Sheng Cheng Shao, Yuanming Zhu, Dong Zhang, Tao Quan, Zixuan Cao, Yang Xu, Zhewei Huang, Shuchang Zhou, Binbin Chen, Minggui He, Hao Hao, Zhiyu Zhang, Zhiwu An, Kun Mao:
The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights. NeurIPS (Competition and Demos) 2021: 220-231 - [c42]Antonia Chmiela, Elias B. Khalil, Ambros M. Gleixner, Andrea Lodi, Sebastian Pokutta:
Learning to Schedule Heuristics in Branch and Bound. NeurIPS 2021: 24235-24246 - [c41]Tristan Sylvain, Margaux Luck, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio:
Exploring the Wasserstein metric for time-to-event analysis. SPACA 2021: 194-206 - [i35]Greta Laage, Emma Frejinger, William L. Hamilton, Andrea Lodi, Guillaume Rabusseau:
Estimating the Impact of an Improvement to a Revenue Management System: An Airline Application. CoRR abs/2101.10249 (2021) - [i34]Justin Dumouchelle, Emma Frejinger, Andrea Lodi:
Can Machine Learning Help in Solving Cargo Capacity Management Booking Control Problems? CoRR abs/2102.00092 (2021) - [i33]Léa Ricard, Guy Desaulniers, Andrea Lodi, Louis-Martin Rousseau:
Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services. CoRR abs/2102.02292 (2021) - [i32]Quentin Cappart, Didier Chételat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic:
Combinatorial optimization and reasoning with graph neural networks. CoRR abs/2102.09544 (2021) - [i31]Antonia Chmiela, Elias B. Khalil, Ambros M. Gleixner, Andrea Lodi, Sebastian Pokutta:
Learning to Schedule Heuristics in Branch-and-Bound. CoRR abs/2103.10294 (2021) - [i30]Antoine Prouvost, Justin Dumouchelle, Maxime Gasse, Didier Chételat, Andrea Lodi:
Ecole: A Library for Learning Inside MILP Solvers. CoRR abs/2104.02828 (2021) - [i29]Andreas M. Tillmann, Daniel Bienstock, Andrea Lodi, Alexandra Schwartz:
Cardinality Minimization, Constraints, and Regularization: A Survey. CoRR abs/2106.09606 (2021) - [i28]Sanjay Dominik Jena, Andrea Lodi, Claudio Sole:
On the estimation of discrete choice models to capture irrational customer behaviors. CoRR abs/2109.03882 (2021) - [i27]Luca Accorsi, Andrea Lodi, Daniele Vigo:
Guidelines for the Computational Testing of Machine Learning approaches to Vehicle Routing Problems. CoRR abs/2109.13983 (2021) - [i26]Federico Bobbio, Margarida Carvalho, Andrea Lodi, Alfredo Torrico:
Capacity Expansion in the College Admission Problem. CoRR abs/2110.00734 (2021) - [i25]Margarida Carvalho, Gabriele Dragotto, Andrea Lodi, Sriram Sankaranarayanan:
The Cut and Play Algorithm: Computing Nash Equilibria via Outer Approximations. CoRR abs/2111.05726 (2021) - [i24]Gabriele Dragotto, Sriram Sankaranarayanan, Margarida Carvalho, Andrea Lodi:
ZERO: Playing Mathematical Programming Games. CoRR abs/2111.07932 (2021) - [i23]Sanae Lotfi, Tiphaine Bonniot de Ruisselet, Dominique Orban, Andrea Lodi:
Adaptive First- and Second-Order Algorithms for Large-Scale Machine Learning. CoRR abs/2111.14761 (2021) - [i22]Defeng Liu, Matteo Fischetti, Andrea Lodi:
Learning to Search in Local Branching. CoRR abs/2112.02195 (2021) - 2020
- [j98]Jaime E. González, André Augusto Ciré, Andrea Lodi, Louis-Martin Rousseau:
Integrated integer programming and decision diagram search tree with an application to the maximum independent set problem. Constraints An Int. J. 25(1-2): 23-46 (2020) - [j97]Teodora Dan, Andrea Lodi, Patrice Marcotte:
Joint location and pricing within a user-optimized environment. EURO J. Comput. Optim. 8(1): 61-84 (2020) - [j96]Maha Gmira, Michel Gendreau, Andrea Lodi, Jean-Yves Potvin:
Travel speed prediction based on learning methods for home delivery. EURO J. Transp. Logist. 9(4): 100006 (2020) - [j95]Andrea Lodi, Luca Mossina, Emmanuel Rachelson:
Learning to handle parameter perturbations in Combinatorial Optimization: An application to facility location. EURO J. Transp. Logist. 9(4): 100023 (2020) - [j94]Tien Mai, Andrea Lodi:
A multicut outer-approximation approach for competitive facility location under random utilities. Eur. J. Oper. Res. 284(3): 874-881 (2020) - [j93]Miguel F. Anjos, Fabian Bastin, Sébastien Le Digabel, Andrea Lodi:
Preface to the special issue of INFOR on "continuous optimization and applications in machine learning and data analytics". INFOR Inf. Syst. Oper. Res. 58(2): 167 (2020) - [j92]Ruobing Shen, Bo Tang, Andrea Lodi, Andrea Tramontani, Ismail Ben Ayed:
An ILP Model for Multi-Label MRFs With Connectivity Constraints. IEEE Trans. Image Process. 29: 6909-6917 (2020) - [c40]Christopher Neal, Ranwa Al Mallah, José M. Fernandez, Andrea Lodi:
Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input. CCECE 2020: 1-6 - [c39]Yoshua Bengio, Emma Frejinger, Andrea Lodi, Rahul Patel, Sriram Sankaranarayanan:
A Learning-Based Algorithm to Quickly Compute Good Primal Solutions for Stochastic Integer Programs. CPAIOR 2020: 99-111 - [c38]Farnoush Farhadi, Vahid Partovi Nia, Andrea Lodi:
Activation Adaptation in Neural Networks. ICPRAM 2020: 249-257 - [c37]Benjamin Müller, Gonzalo Muñoz, Maxime Gasse, Ambros M. Gleixner, Andrea Lodi, Felipe Serrano:
On Generalized Surrogate Duality in Mixed-Integer Nonlinear Programming. IPCO 2020: 322-337 - [c36]Prateek Gupta, Maxime Gasse, Elias B. Khalil, Pawan Kumar Mudigonda, Andrea Lodi, Yoshua Bengio:
Hybrid Models for Learning to Branch. NeurIPS 2020 - [i21]Giulia Zarpellon, Jason Jo, Andrea Lodi, Yoshua Bengio:
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies. CoRR abs/2002.05120 (2020) - [i20]Alfredo Torrico, Margarida Carvalho, Andrea Lodi:
Provable Guarantees for General Two-sided Sequential Matching Markets. CoRR abs/2006.04313 (2020) - [i19]Prateek Gupta, Maxime Gasse, Elias B. Khalil, M. Pawan Kumar, Andrea Lodi, Yoshua Bengio:
Hybrid Models for Learning to Branch. CoRR abs/2006.15212 (2020) - [i18]Christopher Neal, Hanane Dagdougui, Andrea Lodi, José M. Fernandez:
Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm. CoRR abs/2008.13212 (2020) - [i17]Aurélien Serre, Didier Chételat, Andrea Lodi:
Change Point Detection by Cross-Entropy Maximization. CoRR abs/2009.01358 (2020) - [i16]Antoine Prouvost, Justin Dumouchelle, Lara Scavuzzo, Maxime Gasse, Didier Chételat, Andrea Lodi:
Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers. CoRR abs/2011.06069 (2020) - [i15]Sanae Lotfi, Tiphaine Bonniot de Ruisselet, Dominique Orban, Andrea Lodi:
Stochastic Damped L-BFGS with Controlled Norm of the Hessian Approximation. CoRR abs/2012.05783 (2020) - [i14]Margarida Carvalho, Andrea Lodi, João Pedro Pedroso:
Computing Nash equilibria for integer programming games. CoRR abs/2012.07082 (2020)
2010 – 2019
- 2019
- [j91]Timo Berthold, Andrea Lodi, Domenico Salvagnin:
Ten years of feasibility pump, and counting. EURO J. Comput. Optim. 7(1): 1-14 (2019) - [j90]Fabio Furini, Emiliano Traversi, Pietro Belotti, Antonio Frangioni, Ambros M. Gleixner, Nick Gould, Leo Liberti, Andrea Lodi, Ruth Misener, Hans D. Mittelmann, Nikolaos V. Sahinidis, Stefan Vigerske, Angelika Wiegele:
QPLIB: a library of quadratic programming instances. Math. Program. Comput. 11(2): 237-265 (2019) - [j89]Pierre Bonami, Andrea Lodi, Jonas Schweiger, Andrea Tramontani:
Solving Quadratic Programming by Cutting Planes. SIAM J. Optim. 29(2): 1076-1105 (2019) - [c35]Pierre Coste, Andrea Lodi, Gilles Pesant:
Using Cost-Based Solution Densities from TSP Relaxations to Solve Routing Problems. CPAIOR 2019: 182-191 - [c34]Martina Fischetti, Andrea Lodi, Giulia Zarpellon:
Learning MILP Resolution Outcomes Before Reaching Time-Limit. CPAIOR 2019: 275-291 - [c33]Maxime Gasse, Didier Chételat, Nicola Ferroni, Laurent Charlin, Andrea Lodi:
Exact Combinatorial Optimization with Graph Convolutional Neural Networks. NeurIPS 2019: 15554-15566 - [e3]Andrea Lodi, Viswanath Nagarajan:
Integer Programming and Combinatorial Optimization - 20th International Conference, IPCO 2019, Ann Arbor, MI, USA, May 22-24, 2019, Proceedings. Lecture Notes in Computer Science 11480, Springer 2019, ISBN 978-3-030-17952-6 [contents] - [i13]Farnoush Farhadi, Vahid Partovi Nia, Andrea Lodi:
Activation Adaptation in Neural Networks. CoRR abs/1901.09849 (2019) - [i12]Maxime Gasse, Didier Chételat, Nicola Ferroni, Laurent Charlin, Andrea Lodi:
Exact Combinatorial Optimization with Graph Convolutional Neural Networks. CoRR abs/1906.01629 (2019) - [i11]Andrea Lodi, Luca Mossina, Emmanuel Rachelson:
Learning to Handle Parameter Perturbations in Combinatorial Optimization: an Application to Facility Location. CoRR abs/1907.05765 (2019) - [i10]Margarida Carvalho, Gabriele Dragotto, Felipe Feijoo, Andrea Lodi, Sriram Sankaranarayanan:
Nash Games Among Stackelberg Leaders. CoRR abs/1910.06452 (2019) - [i9]Defeng Liu, Andrea Lodi, Mathieu Tanneau:
Learning chordal extensions. CoRR abs/1910.07600 (2019) - [i8]Margarida Carvalho, Andrea Lodi:
Game theoretical analysis of Kidney Exchange Programs. CoRR abs/1911.09207 (2019) - [i7]