Real Stability Testing. - Prasad Raghavendra; Nick Ryder; Nikhil Srivastava (ITCS, 2017)

The geometry of rank decompositions of matrix multiplication II: 3×3 matrices. - Grey Ballard; Christian Ikenmeyer; J. M. Landsberg; Nick Ryder (CoRR, 2018)

Exponential Lower Bounds on Spectrahedral Representations of Hyperbolicity Cones. - Prasad Raghavendra; Nick Ryder; Nikhil Srivastava; Benjamin Weitz (SODA, 2019)

Asymmetric Random Projections. - Nick Ryder; Zohar S. Karnin; Edo Liberty (CoRR, 2019)

Language Models are Few-Shot Learners. - Tom B. Brown; Benjamin Mann; Nick Ryder; Melanie Subbiah; Jared Kaplan; Prafulla Dhariwal; Arvind Neelakantan; Pranav Shyam; Girish Sastry; Amanda Askell; Sandhini Agarwal; Ariel Herbert-Voss; et al. (NeurIPS, 2020)

Scaling Laws for Autoregressive Generative Modeling. - Tom Henighan; Jared Kaplan; Mor Katz; Mark Chen 003; Christopher Hesse; Jacob Jackson; Heewoo Jun; Tom B. Brown; Prafulla Dhariwal; Scott Gray; Chris Hallacy; Benjamin Mann; et al. (CoRR, 2020)

Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. - Ge Yang; Edward J. Hu; Igor Babuschkin; Szymon Sidor; Xiaodong Liu 003; David Farhi; Nick Ryder; Jakub Pachocki; Weizhu Chen; Jianfeng Gao 001 (NeurIPS, 2021)

Evaluating Large Language Models Trained on Code. - Mark Chen 003; Jerry Tworek; Heewoo Jun; Qiming Yuan; Henrique Pondé de Oliveira Pinto; Jared Kaplan; Harri Edwards; Yuri Burda; Nicholas Joseph; Greg Brockman; Alex Ray; Raul Puri; et al. (CoRR, 2021)

Bit Complexity of Jordan Normal Form and Spectral Factorization. - Papri Dey; Ravi Kannan; Nick Ryder; Nikhil Srivastava (CoRR, 2021)

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. - Greg Yang; Edward J. Hu; Igor Babuschkin; Szymon Sidor; Xiaodong Liu 003; David Farhi; Nick Ryder; Jakub Pachocki; Weizhu Chen; Jianfeng Gao 001 (CoRR, 2022)

Bit Complexity of Jordan Normal Form and Polynomial Spectral Factorization. - Papri Dey; Ravi Kannan; Nick Ryder; Nikhil Srivastava (ITCS, 2023)