#robustoptimization search results
Our first Robust Optimization Webinar will take place next Friday, February 10 at 15:00 (CET) via Zoom. Speaker: Wolfram Wiesemann (Imperial College) Title: Randomized Assortment Optimization #robustoptimization #webinar
Who is writing something like this in the survey for our @dagstuhl seminar? 🙄😁 #robustoptimization #bileveloptimization
Our next Robust Optimization Webinar takes place this week Friday, 16 June at 15:00 (CET). Speaker: Omar El Housni (Cornell University) Title: Robust Facility Location Problems #ROW #robustoptimization
#Bilevel people looking at #robustoptimization problems @schmaidt @thuerauf_j
Welcome our new Editorial Board Member: Dr. Seyedali Mirjalili @S_Mirjalili from @UnivPoliMarche Research interests: #robustoptimization; #multiobjectiveoptimization; #swarmintelligence; #artificialintelligence; #metaheuristics and #NeuralNetworks
In our new work, with @matbesancon, we study #robustoptimization problems from an oracle perspective. We develop #FrankWolfe type algorithms applied to a smoothed version of the problem, which converge to an optimal solution within a certain number of oracle calls. 1/n
The next Robust Optimization Webinar will take place this Friday, October 18, at 15:00 (CET). Speaker: Adam Kasperski (Wrocław University of Science and Technology) Title: Recoverable robust shortest path problem #ROW #RobustOptimization
Thanks again to @Francy_Maggioni for the rich talk about bounds for Multistage #StochasticOptimization and Distributionally #RobustOptimization! A lot of people from Italy, Brazil, and more attended the first webinar co-organized with @log_ufpb Stay tuned for the next ones😉
By branching on the discrete values the continuous z-variable can take, we can add valid inequalities that close the gap between the bilinear and the linear formulation. See screenshots! #orms #robustoptimization #informs2019
Tomorrow, @USCViterbi Assistant Professor @phebe_vayanos will present her research on methodology and applications of #RobustOptimization at the International Conference on Continuous Optimization in Berlin: iccopt2019.berlin
In my new work I study k-adaptability problems which can be used to approximate two-stage robust optimization problems. I derive bounds on k which guarantee optimality. Link: arxiv.org/abs/2409.12630 #robustoptimization #kadaptability
The next season of the #RobustOptimizationWebinar will start soon! We will have again a list of amazing speakers. You can find out more on our webpage: sites.google.com/view/row-serie… @schmaidt @melvynsim @hri_lefebvre @_estherjulien #ROW #RobustOptimization
Timo Gersing from @RWTH explaining that robust knapsack with 50 items is already too hard for @IBM_CPLEX and @gurobi to solve in 1hr. But new branching scheme nails it. #INFORMS19 #orms #robustoptimization
#ODS2023 #Day1 #RobustOptimization Alice Calamita talks about a robust optimization approach relying on Benders decomposition to minimize activation and congestion costs in partial set covering facility location problems @ODS2023 #orms
Developed by @LiuGalen and his team at #cuhksz, HWC-Loco is a hierarchical control framework for #humanoidrobots. With #robustoptimization & whole-body control, it excels in scalability, adaptability & real-world tasks, and serves as a solution for safety-critical applications.
Our new work about integrating #neuralnetwork predictions into algorithmic frameworks for solving two-stage #robustoptimization problems is out: arxiv.org/abs/2310.04345 Thanks a lot to @lyeskhalil and especially to Justin Dumouchelle and @_estherjulien who made this work!
#robustoptimization #ecc #icml #italy #abstracts #presenter #conferences #machinelearning #imageclassification
The extended version of our work on #DeepLearning for Two-Stage Robust Integer Optimization is available now: arxiv.org/abs/2310.04345 Our new version of the algorithm can tackle two-stage #robustoptimization problems with uncertainty in the constraints and integer decisions.
#RobustOptimization #Uncertainty #Python I wrote an article titled 'Robust Optimization： Making Decisions Under Uncertainty'. ailogsite.netlify.app/2025/05/03/202…
Developed by @LiuGalen and his team at #cuhksz, HWC-Loco is a hierarchical control framework for #humanoidrobots. With #robustoptimization & whole-body control, it excels in scalability, adaptability & real-world tasks, and serves as a solution for safety-critical applications.
Happy to share this new article on Sampling Methods for Multi-Stage Robust Optimization Problems, available today in Annals of Operations Research, join work with Fabrizio Dabbene and Georg Pflug. link.springer.com/article/10.100… #robustoptimization #constraintsampling
Happy to share this new article "A novel robust optimization model for nonlinear Support Vector Machine" available in European Journal of Operational Reseach, joint work with A. Spinelli: sciencedirect.com/science/articl… #machinelearning #classification #robustoptimization
In our new work, with @matbesancon, we study #robustoptimization problems from an oracle perspective. We develop #FrankWolfe type algorithms applied to a smoothed version of the problem, which converge to an optimal solution within a certain number of oracle calls. 1/n
Our work on data-driven predictions of relevant start scenarios in #robustoptimization is now published and online available: doi.org/10.1016/j.cor.… In our work we tackle (two-stage) robust combinatorial optimization problems which are extremely hard to solve.
The extended version of our work on #DeepLearning for Two-Stage Robust Integer Optimization is available now: arxiv.org/abs/2310.04345 Our new version of the algorithm can tackle two-stage #robustoptimization problems with uncertainty in the constraints and integer decisions.
The next Robust Optimization Webinar will take place this Friday, October 18, at 15:00 (CET). Speaker: Adam Kasperski (Wrocław University of Science and Technology) Title: Recoverable robust shortest path problem #ROW #RobustOptimization
In my new work I study k-adaptability problems which can be used to approximate two-stage robust optimization problems. I derive bounds on k which guarantee optimality. Link: arxiv.org/abs/2409.12630 #robustoptimization #kadaptability
My presentation on #DeepLearning in #RobustOptimization I gave at the CO@Work workshop is now online (as many of the other talks). youtube.com/watch?v=nX7RLE… Big thanks to Timo Berthold and all other organizers for the invitation and the great organization of the workshop.
youtube.com
YouTube
Deep Learning in Robust Optimization
Piero Gasparotto et al.: TORO Indexer: a PyTorch-based indexing algorithm for kilohertz serial crystallography #SerialCrystallography #RobustOptimization #RealTimeIndexing ... #IUCr journals.iucr.org/paper?S1600576…
Check out 2023 #MostRead paper of TELO, "Saddle Point Optimization with Approximate Minimization Oracle and Its Application to Robust Berthing Control." bit.ly/3sbOtSj @TELOACM1 #robustoptimization #openaccess
Our paper on using neural networks to speed up solution methods for two-stage robust optimization problems got published now at #ICLR2024 Conference. You can find the updated version here: openreview.net/forum?id=T5Xb0… #robustoptimization #neuralnetworks
Our new work about integrating #neuralnetwork predictions into algorithmic frameworks for solving two-stage #robustoptimization problems is out: arxiv.org/abs/2310.04345 Thanks a lot to @lyeskhalil and especially to Justin Dumouchelle and @_estherjulien who made this work!
Robust Virtual Network Function Optimization Under Post-Failure Uncertainty: Classical & Quantum Computing #TechRxiv #QuantumComputing #RobustOptimization #VirtualNetworkFunction techrxiv.org/doi/full/10.36…
techrxiv.org
Robust Virtual Network Function Optimization Under Post-Failure Uncertainty: Classical & Quantum...
A document by Mahzabeen Emu. Click on the document to view its contents.
size matters, in #RobustOptimization. If you are among those who said RO generates conservative solutions, look what your uncertainty set is. We showed in this paper that we can beat even the solution of #stochOpt in different simulations; papers.ssrn.com/sol3/papers.cf…
#Bilevel people looking at #robustoptimization problems @schmaidt @thuerauf_j
Our new work about integrating #neuralnetwork predictions into algorithmic frameworks for solving two-stage #robustoptimization problems is out: arxiv.org/abs/2310.04345 Thanks a lot to @lyeskhalil and especially to Justin Dumouchelle and @_estherjulien who made this work!
#ODS2023 #Day1 #RobustOptimization Alice Calamita talks about a robust optimization approach relying on Benders decomposition to minimize activation and congestion costs in partial set covering facility location problems @ODS2023 #orms
The next season of the #RobustOptimizationWebinar will start soon! We will have again a list of amazing speakers. You can find out more on our webpage: sites.google.com/view/row-serie… @schmaidt @melvynsim @hri_lefebvre @_estherjulien #ROW #RobustOptimization
smaller than k=n. Interestingly this result also provides approximation guarantees for #recoverable #robustoptimization The results indicate that solving the min-max-min problem (and to some extend the k-adaptability problem) gets easier if k gets larger.
Welcome our new Editorial Board Member: Dr. Seyedali Mirjalili @S_Mirjalili from @UnivPoliMarche Research interests: #robustoptimization; #multiobjectiveoptimization; #swarmintelligence; #artificialintelligence; #metaheuristics and #NeuralNetworks
Our first Robust Optimization Webinar will take place next Friday, February 10 at 15:00 (CET) via Zoom. Speaker: Wolfram Wiesemann (Imperial College) Title: Randomized Assortment Optimization #robustoptimization #webinar
Who is writing something like this in the survey for our @dagstuhl seminar? 🙄😁 #robustoptimization #bileveloptimization
Check out 2023 #MostRead paper of TELO, "Saddle Point Optimization with Approximate Minimization Oracle and Its Application to Robust Berthing Control." bit.ly/3sbOtSj @TELOACM1 #robustoptimization #openaccess
Our next Robust Optimization Webinar takes place this week Friday, 16 June at 15:00 (CET). Speaker: Omar El Housni (Cornell University) Title: Robust Facility Location Problems #ROW #robustoptimization
The next season of the #RobustOptimizationWebinar will start soon! We will have again a list of amazing speakers. You can find out more on our webpage: sites.google.com/view/row-serie… @schmaidt @melvynsim @hri_lefebvre @_estherjulien #ROW #RobustOptimization
Thanks again to @Francy_Maggioni for the rich talk about bounds for Multistage #StochasticOptimization and Distributionally #RobustOptimization! A lot of people from Italy, Brazil, and more attended the first webinar co-organized with @log_ufpb Stay tuned for the next ones😉
Tomorrow, @USCViterbi Assistant Professor @phebe_vayanos will present her research on methodology and applications of #RobustOptimization at the International Conference on Continuous Optimization in Berlin: iccopt2019.berlin
Timo Gersing from @RWTH explaining that robust knapsack with 50 items is already too hard for @IBM_CPLEX and @gurobi to solve in 1hr. But new branching scheme nails it. #INFORMS19 #orms #robustoptimization
#ODS2023 #Day1 #RobustOptimization Alice Calamita talks about a robust optimization approach relying on Benders decomposition to minimize activation and congestion costs in partial set covering facility location problems @ODS2023 #orms
We couldn't miss @PTCOG58. Gregory Buti, PhD at @MIRO_uclouvain, presenting innovation strategies for robust optimization. #ProtonTherapy #RobustOptimization #Manchester #PTCOG58
In our new work, with @matbesancon, we study #robustoptimization problems from an oracle perspective. We develop #FrankWolfe type algorithms applied to a smoothed version of the problem, which converge to an optimal solution within a certain number of oracle calls. 1/n
By branching on the discrete values the continuous z-variable can take, we can add valid inequalities that close the gap between the bilinear and the linear formulation. See screenshots! #orms #robustoptimization #informs2019
The next Robust Optimization Webinar will take place this Friday, October 18, at 15:00 (CET). Speaker: Adam Kasperski (Wrocław University of Science and Technology) Title: Recoverable robust shortest path problem #ROW #RobustOptimization
Our PhD student Gregory Buti presented his work in 'Scenario selection' and 'Dynamic robust optimization' at the RayStation Benelux User Meeting 2019 in Groningen. Very nice talk! @RaySearch #Protons #RobustOptimization #Protontherapy #RaySearch #Reaserch #RayStation
Our new work about integrating #neuralnetwork predictions into algorithmic frameworks for solving two-stage #robustoptimization problems is out: arxiv.org/abs/2310.04345 Thanks a lot to @lyeskhalil and especially to Justin Dumouchelle and @_estherjulien who made this work!
In my new work I study k-adaptability problems which can be used to approximate two-stage robust optimization problems. I derive bounds on k which guarantee optimality. Link: arxiv.org/abs/2409.12630 #robustoptimization #kadaptability
The extended version of our work on #DeepLearning for Two-Stage Robust Integer Optimization is available now: arxiv.org/abs/2310.04345 Our new version of the algorithm can tackle two-stage #robustoptimization problems with uncertainty in the constraints and integer decisions.
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