user avatar
Alexander Terenin
@avt_im
Something new: soon · decision-making, machine learning, artificial intelligence · anti-ideological · Assistant Research Professor @Cornell, prev @CambridgeMLG
Soon-to-be in San Francisco
Joined August 2013
Posts
  • Pinned
    user avatar
    Today's conventional wisdom often says agentic coding works best for slop - think 500k lines of Python. Let me challenge that: in two days, I built the code equivalent of fragile glass - a concurrent hash table in CUDA. And it's faster than Nvidia's! New blog post - link below!
  • user avatar
    As a rule, I don’t dismiss other people’s research areas. People know all kinds of things I don’t, including technical reasons why an unpopular method might one day achieve performance no other method can. Consequently, I ask others not to dismiss mine. Let’s talk about why.
  • user avatar
    I'm an academic, I left the UK, and I brought a loved one with me to the US. After ten months here, I'm convinced the intellectual environment and resources here are decisively better than at the best places in the UK. If you're serious about science, come to the US!
    We’ve taken action to reduce migration. Student dependant applications are now down by 80%.
    00:00
  • user avatar
    Announcing: Geometric Kernels, a library for computing kernels on non-Euclidean spaces like graphs and manifolds! Now, it's much easier to try out some of the geometric Gaussian process models we've been developing - just install a Python package!
  • user avatar
  • user avatar
    I'm going to try an experiment, and open-source my PhD dissertation writing by making the thesis document visible to the public while I write it. Check it out and follow along!
  • user avatar
    My PhD thesis "Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces" is now on arXiv! Check it out! arxiv.org/abs/2202.10613
  • user avatar
    Got my first internship rejection of the application season, by DeepMind. Always wanted to see whether working at an industry research lab would be for me, and this is my last chance before graduating to find out. Is anyone looking for a machine learning research intern?
  • user avatar
    Ever wanted a Gaussian process whose domain is a manifold important enough to actually have a name? If it's a Lie group or homogeneous space, we've worked out a general recipe for computing sq. exp. (heat, diffusion, ..) and Matérn kernels on it! arxiv.org/abs/2208.14960
  • user avatar
    Yesterday, I submitted my PhD thesis! My experiment in writing in an open-source format was a resounding success! I want to thank everyone who liked, commented, or gave me feedback or encouragement - you made the process so much more fun and exciting!
  • user avatar
    Our two-part foundational series of papers on stationary kernels and Gaussian processes on Lie groups and homogeneous spaces is accepted at JMLR! If you want to know the geometric roots of various phenomena in kernels and Fourier features - with pretty pictures - check it out!
  • user avatar
    We’re extremely excited to announce the NeurIPS Workshop on Bayesian Decision-making and Uncertainty: from probabilistic and spatiotemporal modeling to sequential experiment design! This will take place at NeurIPS 2024, in Vancouver, BC, Canada, either on December 14th or 15th.
  • user avatar
    Belated career announcement: I've joined Cornell as an Assistant Research Professor! This is a 3-year fancy research fellowship (non-tenure-track), during which I'm looking to shift my research to decision-making systems like Bayesian optimization, bandits, and online learning.
  • user avatar
    Some news: I've accepted an offer to join the Machine Learning Group within Computational and Biological Learning at the University of Cambridge as a postdoc. Excited to be part of a research group that I have long respected for its astonishing quality of ideas! @CambridgeMLG