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Real Stability Testing.
Prasad Raghavendra, Nick Ryder, Nikhil Srivastava: Real Stability Testing. CoRR abs/1610.00209 (2016)
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Exponential lower bounds on spectrahedral representations of hyperbolicity...
Prasad Raghavendra, Nick Ryder, Nikhil Srivastava, Benjamin Weitz: Exponential lower bounds on spectrahedral representations of hyperbolicity cones. CoRR abs/1711.11497 (2017)
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Real Stability Testing.
Prasad Raghavendra, Nick Ryder, Nikhil Srivastava: Real Stability Testing. ITCS 2017: 5:1-5:15
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The geometry of rank decompositions of matrix multiplication II: 3×3 matrices.
Grey Ballard, Christian Ikenmeyer, J. M. Landsberg, Nick Ryder: The geometry of rank decompositions of matrix multiplication II: 3×3 matrices. CoRR abs/1801.00843 (2018)
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Asymmetric Random Projections.
Nick Ryder, Zohar S. Karnin, Edo Liberty: Asymmetric Random Projections. CoRR abs/1906.09489 (2019)
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Exponential Lower Bounds on Spectrahedral Representations of Hyperbolicity...
Prasad Raghavendra, Nick Ryder, Nikhil Srivastava, Benjamin Weitz: Exponential Lower Bounds on Spectrahedral Representations of Hyperbolicity Cones. SODA 2019: 2322-2332
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Scaling Laws for Autoregressive Generative Modeling.
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,...
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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, Gretchen...
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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, Gretchen...
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Bit Complexity of Jordan Normal Form and Spectral Factorization.
Papri Dey, Ravi Kannan, Nick Ryder, Nikhil Srivastava: Bit Complexity of Jordan Normal Form and Spectral Factorization. CoRR abs/2109.13956 (2021)
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Evaluating Large Language Models Trained on Code.
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé de Oliveira Pinto, Jared Kaplan, Harrison Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger,...
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Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer.
Ge Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao: Tuning Large Neural Networks via Zero-Shot Hyperparameter...
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Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter...
Greg Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao: Tensor Programs V: Tuning Large Neural Networks via Zero-Shot...
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Bit Complexity of Jordan Normal Form and Polynomial Spectral Factorization.
Papri Dey, Ravi Kannan, Nick Ryder, Nikhil Srivastava: Bit Complexity of Jordan Normal Form and Polynomial Spectral Factorization. ITCS 2023: 42:1-42:18
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