Nick Ryder - RankMe

14 papers A* 3A 2Journal 9

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	Bit Complexity of Jordan Normal Form and Polynomial Spectral Factorization. ITCS Papri Dey, Ravi Kannan, Nick Ryder, Nikhil Srivastava
2022	J	`jnl`	Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. CoRR Greg Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao
2021	J	`jnl`	Bit Complexity of Jordan Normal Form and Spectral Factorization. CoRR Papri Dey, Ravi Kannan, Nick Ryder, Nikhil Srivastava
2021	J	`jnl`	Evaluating Large Language Models Trained on Code. CoRR Mark Chen, 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, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba
2021	A*	`conf`	Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. NeurIPS Ge Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao
2020	A*	`conf`	Language Models are Few-Shot Learners. NeurIPS 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, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei
2020	J	`jnl`	Language Models are Few-Shot Learners. CoRR 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, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, Dario Amodei
2020	J	`jnl`	Scaling Laws for Autoregressive Generative Modeling. CoRR Tom Henighan, Jared Kaplan, Mor Katz, Mark Chen, Christopher Hesse, Jacob Jackson, Heewoo Jun, Tom B. Brown, Prafulla Dhariwal, Scott Gray, Chris Hallacy, Benjamin Mann, Alec Radford, Aditya Ramesh, Nick Ryder, Daniel M. Ziegler, John Schulman, Dario Amodei, Sam McCandlish
2019	J	`jnl`	Asymmetric Random Projections. CoRR Nick Ryder, Zohar S. Karnin, Edo Liberty
2019	A*	`conf`	Exponential Lower Bounds on Spectrahedral Representations of Hyperbolicity Cones. SODA Prasad Raghavendra, Nick Ryder, Nikhil Srivastava, Benjamin Weitz
2018	J	`jnl`	The geometry of rank decompositions of matrix multiplication II: 3×3 matrices. CoRR Grey Ballard, Christian Ikenmeyer, J. M. Landsberg, Nick Ryder
2017	J	`jnl`	Exponential lower bounds on spectrahedral representations of hyperbolicity cones. CoRR Prasad Raghavendra, Nick Ryder, Nikhil Srivastava, Benjamin Weitz
2017	A	`conf`	Real Stability Testing. ITCS Prasad Raghavendra, Nick Ryder, Nikhil Srivastava
2016	J	`jnl`	Real Stability Testing. CoRR Prasad Raghavendra, Nick Ryder, Nikhil Srivastava