Thrilled to announce ISCO 2026���the 9th International Symposium on Combinatorial Optimization—coming to Kuşadası, Türkiye, May 6–8, 2026. 🔗 https://t.co/fByRoq8etZ #CombinatorialOptimization #OperationsResearch #Algorithms #Optimization #GraphTheory #LNCS #Scopus #AcademicTwitter

It has been a pleausure to give the @MunichQuantum colloquium today on applications of #quantumcomputers in #machinelearning and #combinatorialoptimization. Thanks for the kind invitation.

A wonderful group talk by Alexander Kliesch (TUM) on the potential and limitations of #QuantumApproximateOptimization for #CombinatorialOptimization, as well as a lively discussion, in our group seminar. https://t.co/0OW2bgIsoA

Yan Chevaleyre talks about building #MachineLearning models with a posteriori interpretation, obtained using #combinatorialoptimization #orms #SPOC18

Randomized distributed algorithms for submodular optimization problem #discreteoptimization #optimization #submodularoptimization #combinatorialoptimization #submodularity Great talk by Professor Alina Ene, junior @BU_Computing faculty fellow. @BUCompSci

Learn about relaxed #RatioCut minimization for unnormalized spectral clustering using Rayleight-Ritz theorem & normalized symmetric version known as #NCut. The #CombinatorialOptimization is used in PCA too https://t.co/QBKoTDkou4 #MachineLearning #SpectralClustering #mathematics

POV: you are the salesman in a Travelling Salesman Problem. #TheOffice #TSP #CombinatorialOptimization

Dynamic and stochastic #Inventory #Routing problems (IRPs) still inspire you fear? Check how #CombinatorialOptimization problems with large state and action spaces can be handled with hybrid #MachineLearning and #Optimization pipelines: https://t.co/gOQ6RHqsg9 (1/5)

Amazing talk by Professor Alina Ene on submodular optimization and its connection to semantic segmentation and information retrieval 👏 #optimization #submodularity @BU_Computing @BUCompSci #DiscreteOptimization #CombinatorialOptimization

Adiabatic Quantum Graph Matching with Permutation Matrix Constraints - https://t.co/49Zak0aCgq - #Algorithms #ArXiv #CombinatorialOptimization #ComputerVision #MachineLearning #QuantumComputing

#monolith #aussois #combinatorialoptimization #orms

Amit Kumar, IIT New Delhi, uses online algorithms to model combinatorial optimization problems in which the input is revealed over time. #30MYM #combinatorialoptimization #algorithms

#Graph-Based #Matching of #Points-of-Interest from Collaborative Geo-Datasets by Tessio Novack , Robin Peters and Alexander Zipf 👉 https://t.co/ZIkMorpZGu #geographic #graph-theory #CombinatorialOptimization

All videos from the #machinelearning for #combinatorialoptimization Competition stream at #NeurIPS2021 are now online: https://t.co/smkQPGidUn @69alodi

Efficient heuristic search software for tackling the Quadratic Assignment Problem (#QAP) https://t.co/1hDKMbtog1 #ArtificalIntelligence #optimization #Algorithm #DOAI #combinatorialoptimization

Automatic Local Rewriting for Combinatorial Optimization | arXiv https://t.co/HTFjGnSAWT #ReinforcementLearning #CombinatorialOptimization

BioDecoded Daily Digest | February 4, 2019 https://t.co/G879fyAcLu #genomics #MHC #sequencing #ReinforcementLearning #CombinatorialOptimization

Our #DigitalAnnealer is the perfect solution for your #combinatorialoptimization problems. Learn more at the @hannover_messe event: 📅 April 1st to 5th 📌booth E 16, in hall 7.   #HM19 #HMFJ19 Read our blog about Digital Annealer: https://t.co/gXTHYbhv0d

#7AYW #CombinatorialOptimization & #MachineLearning Simone Milanesi introduces the BeMi ensemble, a structured architecture of Binarized Neural Networks based on training a single BNN for each possible pair of classes and applying a Condorcet-inspired majority voting scheme.