Recorded Talks
Below are some talks that have been recorded, listed reverse-choronologically, which means, as you go down the list, it deteriorates in quality. My best talks are the ones that have not been recorded.
  • What can(‘t) next-token prediction do? @ NeurIPS workshop, 2025 [30 min talk]
  • Next-token prediction and creativity @ NeurIPS 2025 oral [20 min talk]
  • Pitfalls of next-token prediction @ Simons, 2024 [1h talk]
  • Out-of-distribution generalization @ CMU AI lunch, 2025 [1h talk]
  • Failure of uniform convergence bounds @ Princeton, 2020 [10 min talk]
  • Failure of uniform convergence bounds @ NeurIPS 2019 oral [20 min talk]
  • Algorithm configuration @ Simons, 2016 [30 min talk]
Slides
Below are slides I have designed. I try not to put too much text (an insight that has blossomed only with age), but I also don't like to skip all text (a sedated audience member must be able to follow when they are unlucky enough to wake up in the middle); I rely significantly on visualizations.
Posters
Same philosophy as my slides. But if I'm being candid, my earlier posters (like uniform convergence and GAN optimization are too dense and cluttered in hindsight, a sentiment that applies to how my taste in research has aged too.