Bo Tang @_bo_tang
Ph.D. student @UofT & @uoftmie| Operations Research github.com/LucasBoTang Toronto, Ontario Joined August 2021-
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The spring semester is over, and my new course, "Introduction to Machine Learning and Control for Building Energy Systems," is now complete. The course is offered to students in the Civil and Systems Engineering Department at Johns Hopkins University; however, the material,…
Just to clarify... Hollow Knight: Silksong is coming to both Nintendo Switch AND the Nintendo Switch 2.
📢Big news! PyEPO 1.0.0 (github.com/khalil-researc…) is out, and it brings full support for MPAX, enabling high-performance, batched optimization with JAX! It gives massive speedup for large-scale problem. Try it now! #AI #Optimization #JAX #MachineLearning #DecisionFocusedLearning
We're thrilled to bring you an exciting new version of our decision-focused learning package PyEPO: github.com/khalil-researc…. Here, we added a new module, `perturbationGradient`, which is based on the paper "Decision-Focused Learning with Directional Gradients".
Excited to see MPAX: a new toolbox for integrating mathematical programming with machine learning! Built on JAX, it features GPU/TPU acceleration, auto-differentiation, and batch solving. Perfect for ML+OR tasks.
Excited to see MPAX: a new toolbox for integrating mathematical programming with machine learning! Built on JAX, it features GPU/TPU acceleration, auto-differentiation, and batch solving. Perfect for ML+OR tasks.
Amazing paper
I’ve been working on reproducing the code from "A Customized ALM for Block-Structured IP”. You can check out my attempt here: github.com/LucasBoTang/Au… This is a learning project for me, and I’d love to hear your thoughts and suggestions! #Optimization #IntegerProgramming #ALM
After a long period of anticipation, our research has finally been published: link.springer.com/10.1007/s12532… Don't forget to also explore our GitHub repository for the package and more updates: github.com/khalil-researc… #PyEPO #MachineLearning #Optimization #PredictThenOptimize
Wrapped up my PyEPO tutorial at ACC 2024! Excited to share this tool we developed, which integrates optimization models like GurobiPy or Pyomo as layers into neural networks for end-to-end training. #ACC2024 #PyEPO #MachineLearning #Optimization #AI
NeuroMANCER v1.5.1 is out! What is new? 1, torchSDE integrators 2, Pytorch Lightning studio 3, Stacked PINNs, and Kolgomorov-Arnold Networks (KANs) 4, Sparse identification of nonlinear dynamics (SINDy) 5, Differentiable proximal operators github.com/pnnl/neuromanc…
📣 We've just added two more tutorials to PyEPO! - A big thank you to Ángel and Pietro for creating the tutorial 6 on DFL applications using real energy data. - Also, thanks to Noah for providing the kNN robust loss tutorial 7.
Just presented our research ”CaVE“ at CPAIOR 2024! 🎉 It‘s an efficient decision-focused learning method. Thanks to my supervisor @lyeskhalil and all supporters. Grateful for the opportunity to share this work with such a engaged audience. #CPAIOR #optmization #machinelearning
🚀 Excited to share a photo from my recent PyEPO Tutorial at the AAAI and thank for the awesome photo @BDilkina ! It was an incredible experience diving into the world of PyEPO and sharing insights with fellow enthusiasts. 🙌 #AAAI #PyEPO #MachineLearning #OperationsResearch
Such a nice survey! I love it.
Check out our blog post "Operations-Driven Machine Learning" in Management Science Review where we discuss our SPO paper. @paulgrigas informs.org/Blogs/ManSci-B… PS Go to github.com/khalil-researc… if you want to play around with the framework @lyeskhalil @_bo_tang
Check out our blog post "Operations-Driven Machine Learning" in Management Science Review where we discuss our SPO paper. @paulgrigas informs.org/Blogs/ManSci-B… PS Go to github.com/khalil-researc… if you want to play around with the framework @lyeskhalil @_bo_tang
Blob Opera is on tour! Play four opera voices and see them perform in cities around the world. Here's one I made for The Blobpera House 🎼 g.co/arts/Z1eKskxL4… via @googlearts
PyEPO again Thank you #VectorResearcherSymposium23

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