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Hao Yu 0002
Person information
- affiliation: University of Southern California, Department of Electrical Engineering, Los Angeles, CA, USA
Other persons with the same name
- Hao Yu — disambiguation page
- Hao Yu 0001
— Southern University of Science and Technology, Shenzhen, China (and 3 more)
- Hao Yu 0003
- Hao Yu 0004
- Hao Yu 0005 — Fujitsu Research and Development Center, Beijing, China
- Hao Yu 0006
- Hao Yu 0007
- Hao Yu 0008 — IBM T.J. Watson Research Center, Yorktown Heights, NY, USA (and 1 more)
- Hao Yu 0009 — University of Mannheim, Germany
- Hao Yu 0010
- Cody Hao Yu
- Hao Yu 0012
- Hao Yu 0013
- Hao Yu 0014
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2020 – today
- 2021
- [c11]Dongsheng Ding, Xiaohan Wei, Hao Yu, Mihailo R. Jovanovic:
Byzantine-resilient distributed learning under constraints. ACC 2021: 2260-2265 - 2020
- [j9]Hao Yu, Michael J. Neely:
A Low Complexity Algorithm with O(√T) Regret and O(1) Constraint Violations for Online Convex Optimization with Long Term Constraints. J. Mach. Learn. Res. 21: 1:1-1:24 (2020) - [j8]Xiaohan Wei, Hao Yu, Michael J. Neely:
Online Primal-Dual Mirror Descent under Stochastic Constraints. Proc. ACM Meas. Anal. Comput. Syst. 4(2): 39:1-39:36 (2020) - [c10]Xiaohan Wei, Hao Yu, Michael J. Neely:
Online Primal-Dual Mirror Descent under Stochastic Constraints. SIGMETRICS (Abstracts) 2020: 3-4
2010 – 2019
- 2019
- [j7]Hao Yu
Learning-Aided Optimization for Energy-Harvesting Devices With Outdated State Information. IEEE/ACM Trans. Netw. 27(4): 1501-1514 (2019) - 2018
- [j6]Xiaohan Wei, Hao Yu, Michael J. Neely:
Online Learning in Weakly Coupled Markov Decision Processes: A Convergence Time Study. Proc. ACM Meas. Anal. Comput. Syst. 2(1): 12:1-12:38 (2018) - [j5]Hao Yu
On the Convergence Time of Dual Subgradient Methods for Strongly Convex Programs. IEEE Trans. Autom. Control. 63(4): 1105-1112 (2018) - [j4]Hao Yu
A New Backpressure Algorithm for Joint Rate Control and Routing With Vanishing Utility Optimality Gaps and Finite Queue Lengths. IEEE/ACM Trans. Netw. 26(4): 1605-1618 (2018) - [c9]Hao Yu, Michael J. Neely:
Learning Aided Optimization for Energy Harvesting Devices with Outdated State Information. INFOCOM 2018: 1853-1861 - [c8]Xiaohan Wei, Hao Yu, Qing Ling, Michael J. Neely:
Solving Non-smooth Constrained Programs with Lower Complexity than \mathcal{O}(1/\varepsilon): A Primal-Dual Homotopy Smoothing Approach. NeurIPS 2018: 3999-4009 - [c7]Xiaohan Wei, Hao Yu, Michael J. Neely:
Online Learning in Weakly Coupled Markov Decision Processes: A Convergence Time Study. SIGMETRICS (Abstracts) 2018: 56-58 - [i7]Hao Yu, Michael J. Neely:
Learning Aided Optimization for Energy Harvesting Devices with Outdated State Information. CoRR abs/1801.03572 (2018) - [i6]Xiaohan Wei, Hao Yu, Qing Ling, Michael J. Neely:
Solving Non-smooth Constrained Programs with Lower Complexity than 𝒪(1/ε): A Primal-Dual Homotopy Smoothing Approach. CoRR abs/1809.01275 (2018) - 2017
- [j3]Hao Yu, Michael J. Neely:
A Simple Parallel Algorithm with an O(1/t) Convergence Rate for General Convex Programs. SIAM J. Optim. 27(2): 759-783 (2017) - [j2]Hao Yu
Dynamic Transmit Covariance Design in MIMO Fading Systems With Unknown Channel Distributions and Inaccurate Channel State Information. IEEE Trans. Wirel. Commun. 16(6): 3996-4008 (2017) - [c6]Hao Yu, Michael J. Neely:
A new backpressure algorithm for joint rate control and routing with vanishing utility optimality gaps and finite queue lengths. INFOCOM 2017: 1-9 - [c5]Hao Yu, Michael J. Neely, Xiaohan Wei:
Online Convex Optimization with Stochastic Constraints. NIPS 2017: 1428-1438 - [i5]Hao Yu, Michael J. Neely:
A New Backpressure Algorithm for Joint Rate Control and Routing with Vanishing Utility Optimality Gaps and Finite Queue Lengths. CoRR abs/1701.04519 (2017) - 2016
- [c4]Hao Yu, Michael J. Neely:
A primal-dual type algorithm with the O(1/t) convergence rate for large scale constrained convex programs. CDC 2016: 1900-1905 - [c3]Hao Yu, Michael J. Neely:
Dynamic power allocation in MIMO fading systems without channel distribution information. INFOCOM 2016: 1-9 - [i4]Hao Yu, Michael J. Neely:
A Primal-Dual Type Algorithm with the O(1/t) Convergence Rate for Large Scale Constrained Convex Programs. CoRR abs/1604.02216 (2016) - [i3]Hao Yu, Michael J. Neely:
A Low Complexity Algorithm with $O(\sqrt{T})$ Regret and Finite Constraint Violations for Online Convex Optimization with Long Term Constraints. CoRR abs/1604.02218 (2016) - 2015
- [c2]Hao Yu, Michael J. Neely:
On the convergence time of the drift-plus-penalty algorithm for strongly convex programs. CDC 2015: 2673-2679 - [i2]Hao Yu, Michael J. Neely:
Dynamic Power Allocation in MIMO Fading Systems Without Channel Distribution Information. CoRR abs/1512.08419 (2015) - 2014
- [j1]Hao Yu, Michael J. Neely:
Duality Codes and the Integrality Gap Bound for Index Coding. IEEE Trans. Inf. Theory 60(11): 7256-7268 (2014) - 2013
- [c1]Hao Yu, Michael J. Neely:
Duality codes and the integrality gap bound for index coding. Allerton 2013: 1553-1560 - [i1]Hao Yu, Michael J. Neely:
Duality Codes and the Integrality Gap Bound for Index Coding. CoRR abs/1307.2295 (2013)
Coauthor Index
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