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ORCIDWilliam Whoiles
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- affiliation: University of California, Los Angeles, Electrical Engineering Department
- affiliation: University of British Columbia, Department of Electrical and Computer Engineering
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2020 – today
- 2021
[j12]William Hoiles
, S. M. Shahrear Tanzil, Vikram Krishnamurthy:
Risk-Averse Caching Policies for YouTube Content in Femtocell Networks using Density Forecasting. IEEE Trans. Cloud Comput. 9(1): 331-346 (2021)- 2020
- [j11]William Hoiles, Vikram Krishnamurthy, Kunal Pattanayak:
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior. J. Mach. Learn. Res. 21: 170:1-170:39 (2020)
2010 – 2019
- 2019
- [i7]William Hoiles, Vikram Krishnamurthy, Kunal Pattanayak:
Rationally Inattentive Inverse Reinforcement Learning Explains YouTube Commenting Behavior. CoRR abs/1910.11703 (2019) - 2018
- [i6]William Hoiles, Vikram Krishnamurthy:
Estimating Rationally Inattentive Utility Functions with Deep Clustering for Framing - Applications in YouTube Engagement Dynamics. CoRR abs/1812.09640 (2018) - 2017
- [j10]S. M. Shahrear Tanzil, William Hoiles, Vikram Krishnamurthy:
Adaptive Scheme for Caching YouTube Content in a Cellular Network: Machine Learning Approach. IEEE Access 5: 5870-5881 (2017) - [j9]William Hoiles, Anup Aprem, Vikram Krishnamurthy:
Engagement and Popularity Dynamics of YouTube Videos and Sensitivity to Meta-Data. IEEE Trans. Knowl. Data Eng. 29(7): 1426-1437 (2017) - 2016
- [j8]William Hoiles, Vikram Krishnamurthy, Anup Aprem:
PAC Algorithms for Detecting Nash Equilibrium Play in Social Networks: From Twitter to Energy Markets. IEEE Access 4: 8147-8161 (2016) - [j7]Omid Namvar Gharehshiran, William Hoiles, Vikram Krishnamurthy:
Detection of Homophilic Communities and Coordination of Interacting Meta-Agents: A Game-Theoretic Viewpoint. IEEE Trans. Signal Inf. Process. over Networks 2(1): 84-101 (2016) - [c2]William Hoiles, Mihaela van der Schaar:
Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design. ICML 2016: 1596-1604 - [c1]William Hoiles, Mihaela van der Schaar:
A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics. NIPS 2016: 2020-2028 - [i5]Onur Atan, William Whoiles, Mihaela van der Schaar:
Data-Driven Online Decision Making with Costly Information Acquisition. CoRR abs/1602.03600 (2016) - [i4]William Hoiles, Anup Aprem, Vikram Krishnamurthy:
Engagement dynamics and sensitivity analysis of YouTube videos. CoRR abs/1611.00687 (2016) - 2015
- [j6]William Hoiles, Vikram Krishnamurthy, Bruce Cornell:
Modelling the Bioelectronic Interface in Engineered Tethered Membranes: From Biosensing to Electroporation. IEEE Trans. Biomed. Circuits Syst. 9(3): 321-333 (2015) - [j5]William Hoiles, Omid Namvar Gharehshiran, Vikram Krishnamurthy, Ngoc-Dung Dào, Hang Zhang:
Adaptive Caching in the YouTube Content Distribution Network: A Revealed Preference Game-Theoretic Learning Approach. IEEE Trans. Cogn. Commun. Netw. 1(1): 71-85 (2015) - [j4]William Hoiles, Vikram Krishnamurthy:
Dynamic Modeling of Antimicrobial Pore Formation in Engineered Tethered Membranes. IEEE Trans. Mol. Biol. Multi Scale Commun. 1(3): 265-276 (2015) - [j3]William Hoiles, Vikram Krishnamurthy:
Nonparametric Demand Forecasting and Detection of Energy Aware Consumers. IEEE Trans. Smart Grid 6(2): 695-704 (2015) - [i3]Vikram Krishnamurthy, William Hoiles:
Online Reputation and Polling Systems: Data Incest, Social Learning and Revealed Preferences. CoRR abs/1501.00994 (2015) - [i2]Omid Namvar Gharehshiran, William Hoiles, Vikram Krishnamurthy:
Reinforcement Learning and Nonparametric Detection of Game-Theoretic Equilibrium Play in Social Networks. CoRR abs/1501.01209 (2015) - 2014
- [j2]Vikram Krishnamurthy, William Hoiles:
Online Reputation and Polling Systems: Data Incest, Social Learning, and Revealed Preferences. IEEE Trans. Comput. Soc. Syst. 1(3): 164-179 (2014) - [i1]Vikram Krishnamurthy, William Hoiles:
Information Diffusion in Social Sensing. CoRR abs/1412.4171 (2014) - 2012
- [j1]Vikram Krishnamurthy, William Hoiles:
Afriat's Test for Detecting Malicious Agents. IEEE Signal Process. Lett. 19(12): 801-804 (2012)
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