Cyril Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
7
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CHI | EyeO: Autocalibrating Gaze Output with Gaze Input for Gaze Typing. | Akanksha Saran, Jacob Alber, Cyril Zhang, Ann Paradiso, Danielle Bragg, John Langford |
| 2025 | ICLR | Self-Improvement in Language Models: The Sharpening Mechanism. | Audrey Huang, Adam Block, Dylan J. Foster, Dhruv Rohatgi, Cyril Zhang, Max Simchowitz, Jordan T. Ash, Akshay Krishnamurthy |
| 2025 | ICML | On the Query Complexity of Verifier-Assisted Language Generation. | Edoardo Botta, Yuchen Li, Aashay Mehta, Jordan T. Ash, Cyril Zhang, Andrej Risteski |
| 2024 | EMNLP | ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles. | Kayo Yin, Chinmay Singh, Fyodor Minakov, Vanessa Milan, Hal Daum III, Cyril Zhang, Alex Lu, Danielle Bragg |
| 2024 | ICLR | Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression. | Adam Block, Dylan J. Foster, Akshay Krishnamurthy, Max Simchowitz, Cyril Zhang |
| 2023 | COLT | Learning Hidden Markov Models Using Conditional Samples. | Gaurav Mahajan, Sham M. Kakade, Akshay Krishnamurthy, Cyril Zhang |
| 2023 | ECAI | Understanding and Improving Neural Active Learning on Heteroskedastic Distributions. | Savya Khosla, Chew Kin Whye, Jordan T. Ash, Cyril Zhang, Kenji Kawaguchi, Alex Lamb |
| 2023 | ICLR | Transformers Learn Shortcuts to Automata. | Bingbin Liu, Jordan T. Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang |
| 2022 | ICLR | Anti-Concentrated Confidence Bonuses For Scalable Exploration. | Jordan T. Ash, Cyril Zhang, Surbhi Goel, Akshay Krishnamurthy, Sham M. Kakade |
| 2022 | ICML | Inductive Biases and Variable Creation in Self-Attention Mechanisms. | Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Cyril Zhang |
| 2022 | ICML | Sparsity in Partially Controllable Linear Systems. | Yonathan Efroni, Sham M. Kakade, Akshay Krishnamurthy, Cyril Zhang |
| 2022 | ICML | Understanding Contrastive Learning Requires Incorporating Inductive Biases. | Nikunj Saunshi, Jordan T. Ash, Surbhi Goel, Dipendra Misra, Cyril Zhang, Sanjeev Arora, Sham M. Kakade, Akshay Krishnamurthy |
| 2021 | ICML | Acceleration via Fractal Learning Rate Schedules. | Naman Agarwal, Surbhi Goel, Cyril Zhang |
| 2020 | ALT | Robust guarantees for learning an autoregressive filter. | Holden Lee, Cyril Zhang |
| 2020 | COLT | No-Regret Prediction in Marginally Stable Systems. | Udaya Ghai, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang |
| 2020 | ICLR | Extreme Tensoring for Low-Memory Preconditioning. | Xinyi Chen, Naman Agarwal, Elad Hazan, Cyril Zhang, Yi Zhang |
| 2020 | ICML | Calibration, Entropy Rates, and Memory in Language Models. | Mark Braverman, Xinyi Chen, Sham M. Kakade, Karthik Narasimhan, Cyril Zhang, Yi Zhang |
| 2019 | ICML | Efficient Full-Matrix Adaptive Regularization. | Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang |
| 2018 | ICLR | Towards Provable Control for Unknown Linear Dynamical Systems. | Sanjeev Arora, Elad Hazan, Holden Lee, Karan Singh, Cyril Zhang, Yi Zhang |
| 2018 | ICLR | Not-So-Random Features. | Brian Bullins, Cyril Zhang, Yi Zhang |
| 2017 | ICML | Efficient Regret Minimization in Non-Convex Games. | Elad Hazan, Karan Singh, Cyril Zhang |