Qiuyi Zhang

According to our database, Qiuyi Zhang authored at least 31 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

The Vizier Gaussian Process Bandit Algorithm.

Xingyou Song, Qiuyi Zhang, Chansoo Lee, Emily Fertig, Tzu-Kuo Huang, Lior Belenki, Greg Kochanski, Setareh Ariafar, Srinivas Vasudevan, Sagi Perel, Daniel Golovin

CoRR, 2024

Ontology of Belief Diversity: A Community-Based Epistemological Approach.

Tyler Fischella, Erin van Liemt, Qiuyi Zhang

CoRR, 2024

Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition.

Barproda Halder, Faisal Hamman, Pasan Dissanayake, Qiuyi Zhang, Ilia Sucholutsky, Sanghamitra Dutta

CoRR, 2024

Preference Learning Algorithms Do Not Learn Preference Rankings.

Angelica Chen, Sadhika Malladi, Lily H. Zhang, Xinyi Chen, Qiuyi Zhang, Rajesh Ranganath, Kyunghyun Cho

CoRR, 2024

Set Learning for Accurate and Calibrated Models.

Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Adaptive Regret for Bandits Made Possible: Two Queries Suffice.

Zhou Lu, Qiuyi Zhang, Xinyi Chen, Fred Zhang, David P. Woodruff, Elad Hazan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Getting aligned on representational alignment.

Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths

CoRR, 2023

Leveraging Contextual Counterfactuals Toward Belief Calibration.

Qiuyi Zhang, Michael S. Lee, Sherol Chen

CoRR, 2023

Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products.

Tamás Sarlós, Xingyou Song, David P. Woodruff, Richard Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Computing Approximate 𝓁_p Sensitivities.

Swati Padmanabhan, David P. Woodruff, Richard Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Algorithms on Adaptive Inputs from Bounded Adversaries.

Yeshwanth Cherapanamjeri, Sandeep Silwal, David P. Woodruff, Fred Zhang, Qiuyi Zhang, Samson Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Optimal Query Complexities for Dynamic Trace Estimation.

David P. Woodruff, Fred Zhang, Richard Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Learning Universal Hyperparameter Optimizers with Transformers.

Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Leveraging Initial Hints for Free in Stochastic Linear Bandits.

Ashok Cutkosky, Christoph Dann, Abhimanyu Das, Qiuyi (Richard) Zhang

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

2021

Using Constrained-INC for Large-Scale Gene Tree and Species Tree Estimation.

Thien Le, Aaron Sy, Erin K. Molloy, Qiuyi Zhang, Satish Rao, Tandy J. Warnow

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Optimal Sketching for Trace Estimation.

Shuli Jiang, Hai Pham, David P. Woodruff, Qiuyi (Richard) Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks.

Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Learning the gravitational force law and other analytic functions.

Atish Agarwala, Abhimanyu Das, Rina Panigrahy, Qiuyi Zhang

CoRR, 2020

Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization.

Qiuyi (Richard) Zhang, Daniel Golovin

Proceedings of the 37th International Conference on Machine Learning, 2020

Span Recovery for Deep Neural Networks with Applications to Input Obfuscation.

Rajesh Jayaram, David P. Woodruff, Qiuyi Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

Gradientless Descent: High-Dimensional Zeroth-Order Optimization.

Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi (Richard) Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Fast Algorithms for Interior Point Methods.

Qiuyi (Richard) Zhang

PhD thesis, 2019

Constrained incremental tree building: new absolute fast converging phylogeny estimation methods with improved scalability and accuracy.

Qiuyi Zhang, Satish Rao, Tandy J. Warnow

Algorithms Mol. Biol., 2019

Optimal sequence length requirements for phylogenetic tree reconstruction with indels.

Arun Ganesh, Qiuyi (Richard) Zhang

Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019

Regularized Weighted Low Rank Approximation.

Frank Ban, David P. Woodruff, Qiuyi (Richard) Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Solving Empirical Risk Minimization in the Current Matrix Multiplication Time.

Yin Tat Lee, Zhao Song, Qiuyi Zhang

Proceedings of the Conference on Learning Theory, 2019

Using INC Within Divide-and-Conquer Phylogeny Estimation.

Thien Le, Aaron Sy, Erin K. Molloy, Qiuyi (Richard) Zhang, Satish Rao, Tandy J. Warnow

Proceedings of the Algorithms for Computational Biology - 6th International Conference, 2019

2018

New Absolute Fast Converging Phylogeny Estimation Methods with Improved Scalability and Accuracy.

Qiuyi (Richard) Zhang, Satish Rao, Tandy J. Warnow

Proceedings of the 18th International Workshop on Algorithms in Bioinformatics, 2018

Convergence Results for Neural Networks via Electrodynamics.

Rina Panigrahy, Ali Rahimi, Sushant Sachdeva, Qiuyi Zhang

Proceedings of the 9th Innovations in Theoretical Computer Science Conference, 2018

2017

Forbidden directed minors and Kelly-width.

Shiva Kintali, Qiuyi Zhang

Theor. Comput. Sci., 2017

Electron-Proton Dynamics in Deep Learning.

Qiuyi Zhang, Rina Panigrahy, Sushant Sachdeva

CoRR, 2017