Bo Lin

PhD candidate @UofT | OR + ML for sustainable cities | Formerly @UWaterloo and @Tsinghua_Uni | Opinions are my own

[Bo Lin @bolin0812]

I'm finally writing some python code after only writing latex code for four months... I'm so back

[Bo Lin @bolin0812]

I'll be presenting at INFORMS DMDA Workshop as a Best Theoretical Paper finalist. See you there!

[Bo Lin @bolin0812]

Want to make decision recommendations that align with human intuition for better adoption? Check out our new #NeurIPS paper conformal inverse optimization (https://t.co/gmVS73jl5S). Extended version on SSRN now (https://t.co/ZQEvWfSsDo). Feedback welcome!

[Bo Lin @bolin0812]

Lesson learned: never skip steps in proofs. You'll just end up doing it again when ppl ask for the details...

[Bo Lin @bolin0812]

@shuyanzhxyc @DukeU @dukecompsci Congrats Duke!

[Becky Katz @BeckyKatz96]

When I first moved to Toronto, I read a paper about LTS from @shoshannasaxe. I cold called asking if we could explore TO specific research. The partnership has been amazing. @mbonsma and @bolin0812 are guiding us on how „best“ to invest in #biketo. Read about the work below:

[Bo Lin @bolin0812]

@mbonsma @shoshannasaxe Great summary! Thanks for leading the work!

[Bo Lin @bolin0812]

@shoshannasaxe Used this urban sprawl index for an undergrad project: https://t.co/PNSX2HrB2z

[Elias Khalil @lyeskhalil]

If you're at #NeurIPS2022 and interested in ML-for-Optimization, please check out my students and collaborators' poster presentations; a brief overview ⬇️

[Rafid Mahmood @RafidRMahmood]

1/8) 87% of AI projects fail to hit production, 96% have data problems & 51% underestimate how much data they need.

Our #NeurIPS2022 paper proposes learning & optimizing data collection!

w/ @james_r_lucas @ALVAREZ_JOSEM @FidlerSanja @MarcTLaw

Webpage: https://t.co/q7M4fjdn3s

[Bo Lin @bolin0812]

A big thank you to my advisors @shoshannasaxe and Timothy Chan for the guidance and support throughout the process!

[Bo Lin @bolin0812]

How to solve a bilevel optimization problem that involves over 1M followers? Our new pre-print provides an interesting idea: https://t.co/gGVsZwU7Bq.

[Bo Lin @bolin0812]

As a special case, the model also generalizes two-stage stochastic programs. We hope this new methodology can be a useful tool for OR researchers and practitioners who seek to apply optimization methods at an impactful scale.

[Bo Lin @bolin0812]

@mbonsma @shoshannasaxe Welcome to the team!

[Findings Press (@[email protected]) @findingspress]

Now published: The Impact of COVID-19 Cycling Infrastructure on Low-Stress Cycling Accessibility: A Case Study in the City of Toronto | Published in Findings https://t.co/AcWWRvzMKl