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 of course are the ones that have not been recorded.

• 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]
• Algorithm configuration @ Simons, 2016 [30 min talk]

Below are slides I’ve designed:

• Creative limits of next-token prediction [Oral Slides][1h Talk Slides]
• Pitfalls of next-token prediction [Slides]
• Out-of-distribution generalization [Slides]
• GAN optimization [1hr talk - slides] [NeurIPS Oral slides]
• Algorithm configuration @ Simons, 2016[Slides]
• Downscaling LLM slides[Slides]

• Interpretability theory [ICLR’21 poster]
• Downscaling LLMs[ICLR’24 poster]