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Cyril Zhang
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Learning Hidden Markov Models Using Conditional Samples


Feb 28, 2023
Sham M. Kakade, Akshay Krishnamurthy, Gaurav Mahajan, Cyril Zhang

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Neural Active Learning on Heteroskedastic Distributions


Nov 02, 2022
Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb

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Transformers Learn Shortcuts to Automata


Oct 19, 2022
Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang

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Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms


Sep 01, 2022
Surbhi Goel, Sham Kakade, Adam Tauman Kalai, Cyril Zhang

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Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit


Jul 18, 2022
Boaz Barak, Benjamin L. Edelman, Surbhi Goel, Sham Kakade, Eran Malach, Cyril Zhang

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Understanding Contrastive Learning Requires Incorporating Inductive Biases


Feb 28, 2022
Nikunj Saunshi, Jordan Ash, Surbhi Goel, Dipendra Misra, Cyril Zhang, Sanjeev Arora, Sham Kakade, Akshay Krishnamurthy

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Machine Learning for Mechanical Ventilation Control (Extended Abstract)


Nov 23, 2021
Daniel Suo, Cyril Zhang, Paula Gradu, Udaya Ghai, Xinyi Chen, Edgar Minasyan, Naman Agarwal, Karan Singh, Julienne LaChance, Tom Zajdel, Manuel Schottdorf, Daniel Cohen, Elad Hazan

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* Machine Learning for Health (ML4H) at NeurIPS 2021 - Extended Abstract. arXiv admin note: substantial text overlap with arXiv:2102.06779 
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Anti-Concentrated Confidence Bonuses for Scalable Exploration


Oct 21, 2021
Jordan T. Ash, Cyril Zhang, Surbhi Goel, Akshay Krishnamurthy, Sham Kakade

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Inductive Biases and Variable Creation in Self-Attention Mechanisms


Oct 19, 2021
Benjamin L. Edelman, Surbhi Goel, Sham Kakade, Cyril Zhang

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