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Journal Articles
- 2021
[j3]Keegan Kang
:
Correlations between random projections and the bivariate normal. Data Min. Knowl. Discov. 35(4): 1622-1653 (2021)- 2020
- [j2]Keegan Kang, Sergey Kushnarev, Wong Wei Pin, Omar Ortiz, Jacob Chen Shihang:
Impact of Virtual Reality on the Visualization of Partial Derivatives in a Multivariable Calculus Class. IEEE Access 8: 58940-58947 (2020) - [j1]Yulong Li, Zhihao Kuang, Jiang Yan Li, Keegan Kang:
Improving Random Projections With Extra Vectors to Approximate Inner Products. IEEE Access 8: 78590-78607 (2020)
Conference and Workshop Papers
- 2022
- [c11]Punit Pankaj Dubey, Bhisham Dev Verma, Rameshwar Pratap, Keegan Kang:
Improving sign-random-projection via count sketch. UAI 2022: 599-609 - 2021
- [c10]Keegan Kang, Sergey Kushnarev, Wong Wei Pin, Rameshwar Pratap, Haikal Yeo, Yijia Chen:
Improving Hashing Algorithms for Similarity Search \textitvia MLE and the Control Variates Trick. ACML 2021: 814-829 - [c9]Jeremy Chew, Keegan Kang:
Control Variates for Similarity Search. PRCV (1) 2021: 468-479 - [c8]Keegan Kang, Wong Wei Pin, Xiaogang Liu, Sergey Kushnarev, Da Yang Tan, Omar Ortiz, Shubham Goyal, Rohit Singhal:
A Personalized Online Homework System in a Freshman Engineering Linear Algebra Course. TALE 2021: 226-232 - 2020
- [c7]Sergey Kushnarev, Keegan Kang, Shubham Goyal:
Assessing the Efficacy of Personalized Online Homework in a First-Year Engineering Multivariate Calculus Course. TALE 2020: 770-773 - 2018
- [c6]Keegan Kang, Wong Wei Pin:
Improving Sign Random Projections With Additional Information. ICML 2018: 2484-2492 - 2017
- [c5]Keegan Kang, Giles Hooker:
Control Variates as a Variance Reduction Technique for Random Projections. ICPRAM (Revised Selected Papers) 2017: 1-20 - [c4]Keegan Kang, Giles Hooker:
Random Projections with Control Variates. ICPRAM 2017: 138-147 - [c3]Keegan Kang:
Using the Multivariate Normal to Improve Random Projections. IDEAL 2017: 397-405 - [c2]Keegan Kang:
Random Projections with Bayesian Priors. NLPCC 2017: 170-182 - 2016
- [c1]Keegan Kang, Giles Hooker:
Improving the recovery of principal components with semi-deterministic random projections. CISS 2016: 596-601
Informal and Other Publications
- 2015
- [i1]Ben Athiwaratkun, Keegan Kang:
Feature Representation in Convolutional Neural Networks. CoRR abs/1507.02313 (2015)
Coauthor Index
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