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ORCIDQiuyi Zhang 0001
Person information
- unicode name: 张秋逸
- affiliation: Google Brain, Pittsburgh, PA, USA
- affiliation: University of California at Berkeley, Department of Mathematics, CA, USA
- affiliation: Princeton University, NJ, USA
Other persons with the same name
- Qiuyi Zhang 0002 — University at Buffalo, Department of Geography, Buffalo, NY, USA
- Qiuyi Zhang 0003 — National Geomatics Center of China, Department of Standard Quality Management, Beijing, China
- Qiuyi Zhang 0004
![[0000-0002-9278-2649]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-9278-2649")
— Southeast University, State Key Laboratory of Millimeter Waves, Nanjing, China - Qiuyi Zhang 0005 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China
- Richard Zhang — disambiguation page
- Richard Zhang 0001 — Adobe Research, San Francisco, CA, USA (and 1 more)
- Hao (Richard) Zhang (aka: Hao Zhang 0002, Richard Zhang 0002) — Simon Fraser University, Burnaby, Canada
- Richard Zhang 0004 — University of Pennsylvania, USA
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2020 – today
- 2024
[c19]Zhou Lu, Qiuyi Zhang, Xinyi Chen, Fred Zhang, David P. Woodruff, Elad Hazan:
Adaptive Regret for Bandits Made Possible: Two Queries Suffice. ICLR 2024- [c18]Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller:
Set Learning for Accurate and Calibrated Models. ICLR 2024 - [i25]Zhou Lu, Qiuyi Zhang, Xinyi Chen, Fred Zhang, David P. Woodruff, Elad Hazan:
Adaptive Regret for Bandits Made Possible: Two Queries Suffice. CoRR abs/2401.09278 (2024) - [i24]Angelica Chen, Sadhika Malladi, Lily H. Zhang, Xinyi Chen, Qiuyi Zhang, Rajesh Ranganath, Kyunghyun Cho:
Preference Learning Algorithms Do Not Learn Preference Rankings. CoRR abs/2405.19534 (2024) - [i23]Barproda Halder, Faisal Hamman, Pasan Dissanayake, Qiuyi Zhang, Ilia Sucholutsky, Sanghamitra Dutta:
Quantifying Spuriousness of Biased Datasets Using Partial Information Decomposition. CoRR abs/2407.00482 (2024) - [i22]Tyler Fischella, Erin van Liemt, Qiuyi Zhang:
Ontology of Belief Diversity: A Community-Based Epistemological Approach. CoRR abs/2408.01455 (2024) - [i21]Xingyou Song, Qiuyi Zhang, Chansoo Lee, Emily Fertig, Tzu-Kuo Huang, Lior Belenki, Greg Kochanski, Setareh Ariafar, Srinivas Vasudevan, Sagi Perel, Daniel Golovin:
The Vizier Gaussian Process Bandit Algorithm. CoRR abs/2408.11527 (2024) - 2023
- [c17]Yeshwanth Cherapanamjeri, Sandeep Silwal, David P. Woodruff, Fred Zhang, Qiuyi Zhang, Samson Zhou:
Robust Algorithms on Adaptive Inputs from Bounded Adversaries. ICLR 2023 - [c16]Swati Padmanabhan, David P. Woodruff, Richard Zhang:
Computing Approximate 𝓁p Sensitivities. NeurIPS 2023 - [c15]Tamás Sarlós, Xingyou Song, David P. Woodruff, Richard Zhang:
Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products. NeurIPS 2023 - [i20]Yeshwanth Cherapanamjeri, Sandeep Silwal, David P. Woodruff, Fred Zhang, Qiuyi Zhang, Samson Zhou:
Robust Algorithms on Adaptive Inputs from Bounded Adversaries. CoRR abs/2304.07413 (2023) - [i19]Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller:
Set Learning for Accurate and Calibrated Models. CoRR abs/2307.02245 (2023) - [i18]Qiuyi Zhang, Michael S. Lee, Sherol Chen:
Leveraging Contextual Counterfactuals Toward Belief Calibration. CoRR abs/2307.06513 (2023) - [i17]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:
Getting aligned on representational alignment. CoRR abs/2310.13018 (2023) - [i16]Tamás Sarlós, Xingyou Song, David P. Woodruff, Qiuyi Zhang:
Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products. CoRR abs/2311.01960 (2023) - [i15]Swati Padmanabhan, David P. Woodruff, Qiuyi (Richard) Zhang:
Computing Approximate 𝓁p Sensitivities. CoRR abs/2311.04158 (2023) - 2022
- [c14]Ashok Cutkosky, Christoph Dann, Abhimanyu Das, Qiuyi (Richard) Zhang:
Leveraging Initial Hints for Free in Stochastic Linear Bandits. ALT 2022: 282-318 - [c13]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:
Towards Learning Universal Hyperparameter Optimizers with Transformers. NeurIPS 2022 - [c12]David P. Woodruff, Fred Zhang, Richard Zhang:
Optimal Query Complexities for Dynamic Trace Estimation. NeurIPS 2022 - [i14]Ashok Cutkosky, Christoph Dann, Abhimanyu Das, Qiuyi (Richard) Zhang:
Leveraging Initial Hints for Free in Stochastic Linear Bandits. CoRR abs/2203.04274 (2022) - [i13]Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Qiuyi Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas:
Towards Learning Universal Hyperparameter Optimizers with Transformers. CoRR abs/2205.13320 (2022) - [i12]David P. Woodruff, Fred Zhang, Qiuyi Zhang:
Optimal Query Complexities for Dynamic Trace Estimation. CoRR abs/2209.15219 (2022) - 2021
- [j3]Thien Le, Aaron Sy, Erin K. Molloy, Qiuyi Zhang, Satish Rao, Tandy J. Warnow:
Using Constrained-INC for Large-Scale Gene Tree and Species Tree Estimation. IEEE ACM Trans. Comput. Biol. Bioinform. 18(1): 2-15 (2021) - [c11]Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang:
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks. ICLR 2021 - [c10]Shuli Jiang, Hai Pham, David P. Woodruff, Qiuyi (Richard) Zhang:
Optimal Sketching for Trace Estimation. NeurIPS 2021: 23741-23753 - [i11]Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang:
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks. CoRR abs/2103.15261 (2021) - [i10]Shuli Jiang, Hai Pham, David P. Woodruff, Qiuyi (Richard) Zhang:
Optimal Sketching for Trace Estimation. CoRR abs/2111.00664 (2021) - 2020
- [c9]Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi (Richard) Zhang:
Gradientless Descent: High-Dimensional Zeroth-Order Optimization. ICLR 2020 - [c8]Rajesh Jayaram, David P. Woodruff, Qiuyi Zhang:
Span Recovery for Deep Neural Networks with Applications to Input Obfuscation. ICLR 2020 - [c7]Qiuyi (Richard) Zhang, Daniel Golovin:
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization. ICML 2020: 11096-11105 - [i9]Rajesh Jayaram, David P. Woodruff, Qiuyi Zhang:
Span Recovery for Deep Neural Networks with Applications to Input Obfuscation. CoRR abs/2002.08202 (2020) - [i8]Atish Agarwala, Abhimanyu Das, Rina Panigrahy, Qiuyi Zhang:
Learning the gravitational force law and other analytic functions. CoRR abs/2005.07724 (2020) - [i7]Daniel Golovin, Qiuyi (Richard) Zhang:
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization. CoRR abs/2006.04655 (2020)
2010 – 2019
- 2019
- [b1]Qiuyi (Richard) Zhang:
Fast Algorithms for Interior Point Methods. University of California, Berkeley, USA, 2019 - [j2]Qiuyi Zhang, Satish Rao, Tandy J. Warnow:
Constrained incremental tree building: new absolute fast converging phylogeny estimation methods with improved scalability and accuracy. Algorithms Mol. Biol. 14(1): 2:1-2:12 (2019) - [c6]Thien Le, Aaron Sy, Erin K. Molloy, Qiuyi (Richard) Zhang, Satish Rao, Tandy J. Warnow:
Using INC Within Divide-and-Conquer Phylogeny Estimation. AlCoB 2019: 167-178 - [c5]Yin Tat Lee, Zhao Song, Qiuyi Zhang:
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time. COLT 2019: 2140-2157 - [c4]Frank Ban, David P. Woodruff, Qiuyi (Richard) Zhang:
Regularized Weighted Low Rank Approximation. NeurIPS 2019: 4061-4071 - [c3]Arun Ganesh, Qiuyi (Richard) Zhang:
Optimal sequence length requirements for phylogenetic tree reconstruction with indels. STOC 2019: 721-732 - [i6]Yin Tat Lee, Zhao Song, Qiuyi Zhang:
Solving Empirical Risk Minimization in the Current Matrix Multiplication Time. CoRR abs/1905.04447 (2019) - [i5]Daniel Golovin, John Karro, Greg Kochanski, Chansoo Lee, Xingyou Song, Qiuyi (Richard) Zhang:
Gradientless Descent: High-Dimensional Zeroth-Order Optimization. CoRR abs/1911.06317 (2019) - [i4]Frank Ban, David P. Woodruff, Qiuyi (Richard) Zhang:
Regularized Weighted Low Rank Approximation. CoRR abs/1911.06958 (2019) - 2018
- [c2]Rina Panigrahy, Ali Rahimi, Sushant Sachdeva, Qiuyi Zhang:
Convergence Results for Neural Networks via Electrodynamics. ITCS 2018: 22:1-22:19 - [c1]Qiuyi (Richard) Zhang, Satish Rao, Tandy J. Warnow:
New Absolute Fast Converging Phylogeny Estimation Methods with Improved Scalability and Accuracy. WABI 2018: 8:1-8:12 - [i3]Arun Ganesh, Qiuyi (Richard) Zhang:
Optimal Sequence Length Requirements for Phylogenetic Tree Reconstruction with Indels. CoRR abs/1811.01121 (2018) - 2017
- [j1]Shiva Kintali, Qiuyi Zhang:
Forbidden directed minors and Kelly-width. Theor. Comput. Sci. 662: 40-47 (2017) - [i2]Qiuyi Zhang, Rina Panigrahy, Sushant Sachdeva:
Electron-Proton Dynamics in Deep Learning. CoRR abs/1702.00458 (2017) - 2013
- [i1]Shiva Kintali, Qiuyi Zhang:
Forbidden Directed Minors and Kelly-width. CoRR abs/1308.5170 (2013)
Coauthor Index
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