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William Chang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [c8]Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu:
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs. AAAI 2024: 12956-12964 - [i8]William Chang, Colin Defant, Daniel Frishberg:
Mixing on Generalized Associahedra. CoRR abs/2408.05611 (2024) - 2023
- [c7]Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo:
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions. NeurIPS 2023 - [i7]Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo:
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions. CoRR abs/2305.17380 (2023) - [i6]William Chang, Yuanhao Lu:
Optimal Cooperative Multiplayer Learning Bandits with Noisy Rewards and No Communication. CoRR abs/2311.06210 (2023) - [i5]Tianyuan Jin, Hao-Lun Hsu, William Chang, Pan Xu:
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs. CoRR abs/2312.15549 (2023) - 2022
- [c6]William Chang, Hassan Hamad, Keith M. Chugg:
Approximation Capabilities of Neural Networks using Morphological Perceptrons and Generalizations. IEEECONF 2022: 770-776 - [c5]William Chang, Mehdi Jafarnia-Jahromi, Rahul Jain:
Online Learning for Cooperative Multi-Player Multi-Armed Bandits. CDC 2022: 7248-7253 - [i4]William Chang, Hassan Hamad, Keith M. Chugg:
Approximation Capabilities of Neural Networks using Morphological Perceptrons and Generalizations. CoRR abs/2207.07832 (2022) - [i3]William Chang, Fariba Ariaei, Edmond A. Jonckheere:
Bode Integral Limitation For Irrational Systems. CoRR abs/2211.10879 (2022) - 2021
- [c4]Ta-Yang Wang, William Chang, Ajitesh Srivastava, Rajgopal Kannan, Viktor K. Prasanna:
Monte Carlo Tree Search for Task Mapping onto Heterogeneous Platforms. HiPC 2021: 63-70 - [i2]William Chang, Mehdi Jafarnia-Jahromi, Rahul Jain:
Online Learning for Cooperative Multi-Player Multi-Armed Bandits. CoRR abs/2109.03818 (2021)
2010 – 2019
- 2019
- [i1]Kevin J. Liang, John B. Sigman, Gregory P. Spell, Dan Strellis, William Chang, Felix Liu, Tejas Mehta, Lawrence Carin:
Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection. CoRR abs/1912.06329 (2019) - 2015
- [j3]Mikhail Bessmeltsev, William Chang, Nicholas Vining, Alla Sheffer, Karan Singh:
Modeling Character Canvases from Cartoon Drawings. ACM Trans. Graph. 34(5): 162:1-162:16 (2015) - 2014
- [j2]Bao-Xuan Xu, William Chang, Alla Sheffer, Adrien Bousseau, James McCrae, Karan Singh:
True2Form: 3D curve networks from 2D sketches via selective regularization. ACM Trans. Graph. 33(4): 131:1-131:13 (2014) - 2010
- [j1]Phaedra Agius, Aaron Arvey, William Chang, William Stafford Noble, Christina S. Leslie:
High Resolution Models of Transcription Factor-DNA Affinities Improve In Vitro and In Vivo Binding Predictions. PLoS Comput. Biol. 6(9) (2010) - [c3]William Chang, Qing Tan:
Augmented Reality System Design and Scenario Study for Location-Based Adaptive Mobile Learning. CSE 2010: 20-27 - [c2]William Chang, Qing Tan, Fang Wei Tao:
Multi-Object Oriented Augmented Reality for Location-Based Adaptive Mobile Learning. ICALT 2010: 450-451
2000 – 2009
- 2009
- [c1]William Chang, Patrick Pantel, Ana-Maria Popescu, Evgeniy Gabrilovich:
Towards intent-driven bidterm suggestion. WWW 2009: 1093-1094
Coauthor Index
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