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ORCIDVaneet Aggarwal
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- affiliation: Purdue University, West Lafayette, IN, USA
- affiliation: King Abdulaziz University, Jeddah, Saudi Arabia
- affiliation (2018 - 2019): IISc, Bangalore, India
- affiliation (2013 - 2014): Columbia University, New York, NY, USA
- affiliation (2010 - 2014): AT&T Labs-Research, Florham Park, NJ, USA
- affiliation (PhD 2010): Princeton University, NJ, USA
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2020 – today
- 2022
[i129]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. CoRR abs/2201.01247 (2022)- 2021
- [j103]Naimahmed Nesaragi
, Shivnarayan Patidar, Vaneet Aggarwal:
Tensor learning of pointwise mutual information from EHR data for early prediction of sepsis. Comput. Biol. Medicine 134: 104430 (2021) - [j102]Md. Masudur Rahman, Mythra V. Balakuntala, Glebys T. Gonzalez, Mridul Agarwal, Upinder Kaur, Vishnunandan L. N. Venkatesh, Natalia Sanchez-Tamayo, Yexiang Xue, Richard M. Voyles, Vaneet Aggarwal, Juan P. Wachs:
SARTRES: a semi-autonomous robot teleoperation environment for surgery. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(4): 376-383 (2021) - [j101]Vaneet Aggarwal:
Machine Learning for Communications. Entropy 23(7): 831 (2021) - [j100]Ramkumar Raghu, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma:
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning. Entropy 23(12): 1555 (2021) - [j99]Vaneet Aggarwal, Tian Lan:
Modeling and Optimization of Latency in Erasure-coded Storage Systems. Found. Trends Commun. Inf. Theory 18(3): 380-525 (2021) - [j98]Vaneet Aggarwal, Tian Lan, Dheeraj Peddireddy:
Preemptive scheduling on unrelated machines with fractional precedence constraints. J. Parallel Distributed Comput. 157: 280-286 (2021) - [j97]Mridul Agarwal, Vaneet Aggarwal:
Blind decision making: Reinforcement learning with delayed observations. Pattern Recognit. Lett. 150: 176-182 (2021) - [j96]Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan, Yu Xiang, Moo-Ryong Ra, Yih-Farn Chen:
FastTrack: Minimizing Stalls for CDN-Based Over-the-Top Video Streaming Systems. IEEE Trans. Cloud Comput. 9(4): 1453-1466 (2021) - [j95]Anis Elgabli, Jihong Park, Amrit Singh Bedi, Chaouki Ben Issaid, Mehdi Bennis, Vaneet Aggarwal:
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. IEEE Trans. Commun. 69(1): 164-181 (2021) - [j94]Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal:
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers and Goods Transportation. IEEE Trans. Intell. Transp. Syst. 22(4): 2035-2047 (2021) - [j93]Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat K. Bhargava:
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching Using Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 22(12): 7931-7942 (2021) - [j92]Rutvij H. Jhaveri, Sagar V. Ramani, Gautam Srivastava, Thippa Reddy Gadekallu, Vaneet Aggarwal:
Fault-Resilience for Bandwidth Management in Industrial Software-Defined Networks. IEEE Trans. Netw. Sci. Eng. 8(4): 3129-3139 (2021) - [j91]Ruijiu Mao, Vaneet Aggarwal:
NPSCS: Non-Preemptive Stochastic Coflow Scheduling With Time-Indexed LP Relaxation. IEEE Trans. Netw. Serv. Manag. 18(2): 2377-2387 (2021) - [j90]Vaneet Aggarwal, Tian Lan, Suresh Subramaniam, Maotong Xu:
On the Approximability of Related Machine Scheduling Under Arbitrary Precedence. IEEE Trans. Netw. Serv. Manag. 18(3): 3706-3718 (2021) - [j89]Abubakr O. Al-Abbasi, Vaneet Aggarwal:
VidCloud: Joint Stall and Quality Optimization for Video Streaming over Cloud. ACM Trans. Model. Perform. Evaluation Comput. Syst. 5(4): 17:1-17:32 (2021) - [j88]Ajay Badita, Parimal Parag, Vaneet Aggarwal:
Single-Forking of Coded Subtasks for Straggler Mitigation. IEEE/ACM Trans. Netw. 29(6): 2413-2424 (2021) - [j87]Guanghui Zhang, Jack Y. B. Lee, Ke Liu, Haibo Hu, Vaneet Aggarwal:
A Unified Framework for Flexible Playback Latency Control in Live Video Streaming. IEEE Trans. Parallel Distributed Syst. 32(12): 3024-3037 (2021) - [j86]Yang Zhang, Arnob Ghosh, Vaneet Aggarwal:
Optimized Portfolio Contracts for Bidding the Cloud. IEEE Trans. Serv. Comput. 14(5): 1505-1518 (2021) - [c98]Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn:
DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. AAAI 2021: 6557-6565 - [c97]Mridul Agarwal, Vaneet Aggarwal:
Blind Decision Making: Reinforcement Learning with Delayed Observations. ICAPS 2021: 2-6 - [c96]Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal:
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. ICAPS 2021: 510-518 - [c95]Ather Gattami, Qinbo Bai, Vaneet Aggarwal:
Reinforcement Learning for Constrained Markov Decision Processes. AISTATS 2021: 2656-2664 - [c94]Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal:
Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback. ALT 2021: 306-339 - [c93]Souvik Das, Anirudh Shankar, Vaneet Aggarwal:
Training spiking neural networks with a multi-agent evolutionary robotics framework. GECCO 2021: 858-865 - [c92]Glebys Gonzalez, Mridul Agarwal, Mythra V. Balakuntala, Md. Masudur Rahman, Upinder Kaur, Richard M. Voyles, Vaneet Aggarwal, Yexiang Xue, Juan P. Wachs:
DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for Surgery. ICRA 2021: 12693-12700 - [c91]Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
Novelty Detection and Adaptation: A Domain Agnostic Approach. ISIC 2021: 73-77 - [c90]Chenyi Liu, Nan Geng, Vaneet Aggarwal, Tian Lan, Yuan Yang, Mingwei Xu:
CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints. ECML/PKDD (1) 2021: 157-173 - [c89]Mridul Agarwal, Glebys T. Gonzalez, Mythra V. Balakuntala, Md. Masudur Rahman, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs:
Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery. RO-MAN 2021: 1236-1242 - [c88]Servio Palacios, Drew Zabrocki, Bharat K. Bhargava, Vaneet Aggarwal:
Auditable serverless computing for farm management. BiDEDE@SIGMOD 2021: 6:1-6:6 - [c87]Guoyang Zhou, Vaneet Aggarwal, Ming Yin, Denny Yu:
Video-based AI Decision Support System for Lifting Risk Assessment. SMC 2021: 275-282 - [c86]Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal:
Communication efficient parallel reinforcement learning. UAI 2021: 247-256 - [i128]Mayank Gupta, Lingjun Chen, Denny Yu, Vaneet Aggarwal:
A Supervised Learning Approach for Robust Health Monitoring using Face Videos. CoRR abs/2102.00322 (2021) - [i127]Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli:
Multi-Agent Multi-Armed Bandits with Limited Communication. CoRR abs/2102.08462 (2021) - [i126]Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal:
Communication Efficient Parallel Reinforcement Learning. CoRR abs/2102.10740 (2021) - [i125]Mohammad Ali Javidian, Vaneet Aggarwal, Fanglin Bao, Zubin Jacob:
Quantum Entropic Causal Inference. CoRR abs/2102.11764 (2021) - [i124]Marina Haliem, Trevor Bonjour, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Bharat K. Bhargava, Mayank Kejriwal:
Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach. CoRR abs/2103.00683 (2021) - [i123]Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal:
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. CoRR abs/2103.03450 (2021) - [i122]Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
AdaPool: A Diurnal-Adaptive Fleet Management Framework using Model-Free Deep Reinforcement Learning and Change Point Detection. CoRR abs/2104.00203 (2021) - [i121]Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob:
Quantum Causal Inference in the Presence of Hidden Common Causes: an Entropic Approach. CoRR abs/2104.13227 (2021) - [i120]Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm. CoRR abs/2105.14125 (2021) - [i119]Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. CoRR abs/2105.14772 (2021) - [i118]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Markov Decision Processes with Long-Term Average Constraints. CoRR abs/2106.06680 (2021) - [i117]Xingyu Fu, Fengfeng Zhou, Dheeraj Peddireddy, Zhengyang Kang, Martin Byung-Guk Jun, Vaneet Aggarwal:
An FEA surrogate model with Boundary Oriented Graph Embedding approach. CoRR abs/2108.13509 (2021) - [i116]Washim Uddin Mondal, Mridul Agarwal, Vaneet Aggarwal, Satish V. Ukkusuri:
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC). CoRR abs/2109.04024 (2021) - [i115]Xinwu Qian, Shuocheng Guo, Vaneet Aggarwal:
DROP: Deep relocating option policy for optimal ride-hailing vehicle repositioning. CoRR abs/2109.04149 (2021) - [i114]Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal:
Concave Utility Reinforcement Learning with Zero-Constraint Violations. CoRR abs/2109.05439 (2021) - [i113]Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal:
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. CoRR abs/2109.06332 (2021) - [i112]Mohammad Ali Javidian, Vaneet Aggarwal, Zubin Jacob:
Learning Circular Hidden Quantum Markov Models: A Tensor Network Approach. CoRR abs/2111.01536 (2021) - 2020
- [j85]Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang:
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks. IEEE Commun. Mag. 58(12): 41-47 (2020) - [j84]Krishnandu Hazra, Vijay K. Shah, Simone Silvestri, Vaneet Aggarwal, Sajal K. Das, Subrata Nandi, Sujoy Saha:
Designing efficient communication infrastructure in post-disaster situations with limited availability of network resources. Comput. Commun. 164: 54-68 (2020) - [j83]Vaneet Aggarwal, Ruijiu Mao:
Preemptive scheduling for approximate computing on heterogeneous machines: Tradeoff between weighted accuracy and makespan. Inf. Process. Lett. 153 (2020) - [j82]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. J. Mach. Learn. Res. 21: 76:1-76:39 (2020) - [j81]Saurabh Bagchi, Vaneet Aggarwal, Somali Chaterji, Fred Douglis, Aly El Gamal, Jiawei Han, Brian J. Henz, Henry Hoffmann, Suman Jana, Milind Kulkarni, Felix Xiaozhu Lin, Karen B. Marais, Prateek Mittal, Shaoshuai Mou, Xiaokang Qiu, Gesualdo Scutari:
Vision Paper: Grand Challenges in Resilience: Autonomous System Resilience through Design and Runtime Measures. IEEE Open J. Comput. Soc. 1: 155-172 (2020) - [j80]Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal:
Fundamental sampling patterns for low-rank multi-view data completion. Pattern Recognit. 103: 107307 (2020) - [j79]Shanuja Sasi, V. Lalitha, Vaneet Aggarwal, B. Sundar Rajan:
Straggler Mitigation With Tiered Gradient Codes. IEEE Trans. Commun. 68(8): 4632-4647 (2020) - [j78]Anis Elgabli, Vaneet Aggarwal:
FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming Over HTTP. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2240-2249 (2020) - [j77]Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang:
Low-Tubal-Rank Tensor Completion Using Alternating Minimization. IEEE Trans. Inf. Theory 66(3): 1714-1737 (2020) - [j76]Anis Elgabli, Ke Liu, Vaneet Aggarwal:
Optimized Preference-Aware Multi-Path Video Streaming with Scalable Video Coding. IEEE Trans. Mob. Comput. 19(1): 159-172 (2020) - [j75]Ke Liu, Zhongbin Zha, Wenkai Wan, Vaneet Aggarwal, Binzhang Fu, Mingyu Chen:
Optimizing TCP Loss Recovery Performance Over Mobile Data Networks. IEEE Trans. Mob. Comput. 19(6): 1401-1419 (2020) - [j74]Arnob Ghosh, Vaneet Aggarwal, Prakash Chakraborty:
Tiered Spectrum Measurement Markets for Joint Licensed and Unlicensed Secondary Access. IEEE Trans. Netw. Sci. Eng. 7(3): 1295-1309 (2020) - [j73]Abubakr O. Al-Abbasi, Vaneet Aggarwal:
TTLCache: Taming Latency in Erasure-Coded Storage Through TTL Caching. IEEE Trans. Netw. Serv. Manag. 17(3): 1582-1596 (2020) - [j72]Ajay Badita, Parimal Parag, Vaneet Aggarwal:
Optimal Server Selection for Straggler Mitigation. IEEE/ACM Trans. Netw. 28(2): 709-721 (2020) - [c85]Divija Swetha Gadiraju, V. Lalitha, Vaneet Aggarwal:
Secure Regenerating Codes for Reducing Storage and Bootstrap Costs in Sharded Blockchains. Blockchain 2020: 229-236 - [c84]Yifan Shen, Ke Liu, Ziting Guo, Wenli Zhang, Guanghui Zhang, Vaneet Aggarwal, Mingyu Chen:
Freeway: an order-less user-space framework for non-real-time applications. CF 2020: 225-228 - [c83]Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal:
Escaping Saddle Points for Zeroth-order Non-convex Optimization using Estimated Gradient Descent. CISS 2020: 1-6 - [c82]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Communication Efficient Framework for Decentralized Machine Learning. CISS 2020: 1-5 - [c81]Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat K. Bhargava:
A Distributed Model-Free Ride-Sharing Algorithm with Pricing using Deep Reinforcement Learning. CSCS 2020: 5:1-5:10 - [c80]Yifan Shen, Ke Liu, Ziting Guo, Wenli Zhang, Guanghui Zhang, Vaneet Aggarwal, Mingyu Chen:
Freeway: An Order-less User-space Framework for Non-real-time Applications. HPCC/DSS/SmartCity 2020: 457-464 - [c79]Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal:
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. ICASSP 2020: 8876-8880 - [c78]Nan Geng, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu:
A Multi-agent Reinforcement Learning Perspective on Distributed Traffic Engineering. ICNP 2020: 1-11 - [c77]Ajay Badita, Parimal Parag, Vaneet Aggarwal:
Sequential addition of coded sub-tasks for straggler mitigation. INFOCOM 2020: 746-755 - [c76]Shanuja Sasi, Vaneet Aggarwal, B. Sundar Rajan:
An Embedded Index Code Construction Using Sub-packetization. ITW 2020: 1-5 - [c75]Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel:
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions. L4DC 2020: 924-934 - [c74]Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
AdaPool: An Adaptive Model-Free Ride-Sharing Approach for Dispatching using Deep Reinforcement Learning. BuildSys@SenSys 2020: 304-305 - [i111]Qinbo Bai, Ather Gattami, Vaneet Aggarwal:
Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints. CoRR abs/2003.05555 (2020) - [i110]Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel:
Efficient Gaussian Process Bandits by Believing only Informative Actions. CoRR abs/2003.10550 (2020) - [i109]Vaneet Aggarwal, Tian Lan:
Modeling and Optimization of Latency in Erasure-coded Storage Systems. CoRR abs/2005.10855 (2020) - [i108]Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang:
From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks. CoRR abs/2006.03594 (2020) - [i107]Qinbo Bai, Vaneet Aggarwal, Ather Gattami:
Model-Free Algorithm and Regret Analysis for MDPs with Long-Term Constraints. CoRR abs/2006.05961 (2020) - [i106]Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai:
Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks. CoRR abs/2007.09511 (2020) - [i105]Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal:
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers & Goods Transportation. CoRR abs/2007.13699 (2020) - [i104]Shanuja Sasi, Vaneet Aggarwal, B. Sundar Rajan:
An Embedded Index Code Construction Using Sub-packetization. CoRR abs/2009.11329 (2020) - [i103]Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat K. Bhargava:
A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning. CoRR abs/2010.01755 (2020) - [i102]Divija Swetha Gadiraju, V. Lalitha, Vaneet Aggarwal:
Secure Regenerating Codes for Reducing Storage and Bootstrap Costs in Sharded Blockchains. CoRR abs/2011.06201 (2020) - [i101]Mounssif Krouka, Anis Elgabli, Mohammed Saad ElBamby, Cristina Perfecto, Mehdi Bennis, Vaneet Aggarwal:
Cross Layer Optimization and Distributed Reinforcement Learning Approach for Tile-Based 360 Degree Wireless Video Streaming. CoRR abs/2011.06356 (2020) - [i100]Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal:
DART: aDaptive Accept RejecT for non-linear top-K subset identification. CoRR abs/2011.07687 (2020) - [i99]Mridul Agarwal, Vaneet Aggarwal:
Blind Decision Making: Reinforcement Learning with Delayed Observations. CoRR abs/2011.07715 (2020) - [i98]Kaushik Manchella, Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava:
PassGoodPool: Joint Passengers and Goods Fleet Management with Reinforcement Learning aided Pricing, Matching, and Route Planning. CoRR abs/2011.08999 (2020) - [i97]Ramkumar Raghu, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma:
Scheduling and Power Control for Wireless Multicast Systems via Deep Reinforcement Learning. CoRR abs/2011.14799 (2020) - [i96]Souvik Das, Anirudh Shankar, Vaneet Aggarwal:
A multi-agent evolutionary robotics framework to train spiking neural networks. CoRR abs/2012.03485 (2020) - [i95]Arnob Ghosh, Vaneet Aggarwal:
Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents. CoRR abs/2012.15377 (2020)
2010 – 2019
- 2019
- [j71]Fernando Stefanello, Vaneet Aggarwal, Luciana S. Buriol, Mauricio G. C. Resende:
Hybrid algorithms for placement of virtual machines across geo-separated data centers. J. Comb. Optim. 38(3): 748-793 (2019) - [j70]Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron:
Principal component analysis with tensor train subspace. Pattern Recognit. Lett. 122: 86-91 (2019) - [j69]Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan:
Differentiated Latency in Data Center Networks with Erasure Coded Files Through Traffic Engineering. IEEE Trans. Cloud Comput. 7(2): 495-508 (2019) - [j68]Yimeng Wang, Yongbo Li, Tian Lan, Vaneet Aggarwal:
DeepChunk: Deep Q-Learning for Chunk-Based Caching in Wireless Data Processing Networks. IEEE Trans. Cogn. Commun. Netw. 5(4): 1034-1045 (2019) - [j67]Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan:
Optimal Linear Broadcast Rates of Some Two-Sender Unicast Index Coding Problems. IEEE Trans. Commun. 67(6): 3965-3977 (2019) - [j66]Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan:
On the Optimal Broadcast Rate of the Two-Sender Unicast Index Coding Problem With Fully-Participated Interactions. IEEE Trans. Commun. 67(12): 8612-8623 (2019) - [j65]Anis Elgabli, Vaneet Aggarwal:
Deadline and Buffer Constrained Knapsack Problem. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1564-1568 (2019) - [j64]Anis Elgabli, Muhamad Felemban, Vaneet Aggarwal:
GiantClient: Video HotSpot for Multi-User Streaming. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2833-2843 (2019) - [j63]Arnob Ghosh, Vaneet Aggarwal, Hong Wan:
Strategic Prosumers: How to Set the Prices in a Tiered Market? IEEE Trans. Ind. Informatics 15(8): 4469-4480 (2019) - [j62]Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang:
Deterministic and Probabilistic Conditions for Finite Completability of Low-Tucker-Rank Tensor. IEEE Trans. Inf. Theory 65(9): 5380-5400 (2019) - [j61]Tianqiong Luo, Vaneet Aggarwal, Borja Peleato:
Coded Caching With Distributed Storage. IEEE Trans. Inf. Theory 65(12): 7742-7755 (2019) - [j60]Abubakr O. Al-Abbasi, Arnob Ghosh, Vaneet Aggarwal:
DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 20(12): 4714-4727 (2019) - [j59]Yang Zhang, Arnob Ghosh, Vaneet Aggarwal, Tian Lan:
Tiered Cloud Storage via Two-Stage, Latency-Aware Bidding. IEEE Trans. Netw. Serv. Manag. 16(1): 176-191 (2019) - [j58]Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan:
TTLoC: Taming Tail Latency for Erasure-Coded Cloud Storage Systems. IEEE Trans. Netw. Serv. Manag. 16(4): 1609-1623 (2019) - [j57]Eric Friedlander, Vaneet Aggarwal:
Generalization of LRU Cache Replacement Policy with Applications to Video Streaming. ACM Trans. Model. Perform. Evaluation Comput. Syst. 4(3): 18:1-18:22 (2019) - [j56]Abubakr O. Al-Abbasi, Vaneet Aggarwal, Moo-Ryong Ra:
Multi-Tier Caching Analysis in CDN-Based Over-the-Top Video Streaming Systems. IEEE/ACM Trans. Netw. 27(2): 835-847 (2019) - [j55]Anis Elgabli, Muhamad Felemban, Vaneet Aggarwal:
GroupCast: Preference-Aware Cooperative Video Streaming With Scalable Video Coding. IEEE/ACM Trans. Netw. 27(3): 1138-1150 (2019) - [j54]Anis Elgabli, Vaneet Aggarwal:
SmartStreamer: Preference-Aware Multipath Video Streaming Over MPTCP. IEEE Trans. Veh. Technol. 68(7): 6975-6984 (2019) - [j53]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell:
A Low-Complexity Detection Algorithm for Uplink Massive MIMO Systems Based on Alternating Minimization. IEEE Wirel. Commun. Lett. 8(3): 917-920 (2019) - [c73]Yimeng Wang, Yongbo Li, Tian Lan, Vaneet Aggarwal:
Deep Q-Learning for Chunk-based Caching in Data Processing Networks. Allerton 2019: 910-916 - [c72]Ramkumar Raghu, Pratheek Upadhyaya, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma:
Deep Reinforcement Learning Based Power Control for Wireless Multicast Systems. Allerton 2019: 1168-1175 - [c71]Abubakr O. Al-Abbasi, Ali A. Elghariani, Anis Elgabli, Vaneet Aggarwal:
On the Information Freshness and Tail Latency Trade-Off in Mobile Networks. GLOBECOM 2019: 1-6 - [c70]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mehdi Bennis, Mark R. Bell:
A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications. ICC 2019: 1-6 - [c69]Nandan Sriranga, Chandra R. Murthy, Vaneet Aggarwal:
A Method to Improve Consensus Averaging using Quantized ADMM. ISIT 2019: 507-511 - [c68]Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan:
Optimal Broadcast Rate of a Class of Two-Sender Unicast Index Coding Problems. ITW 2019: 1-5 - [c67]Md. Masudur Rahman, Natalia Sanchez-Tamayo, Glebys T. Gonzalez, Mridul Agarwal, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs:
Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation. RO-MAN 2019: 1-6 - [c66]Mahadesh Panju, Ramkumar Raghu, Vaneet Aggarwal, Vinod Sharma, Ramachandran Rajesh:
Queuing Theoretic Models for Multicasting Under Fading. WCNC 2019: 1-6 - [i94]Abubakr O. Al-Abbasi, Vaneet Aggarwal, Moo-Ryong Ra:
Multi-tier Caching Analysis in CDN-based Over-the-top Video Streaming Systems. CoRR abs/1902.04067 (2019) - [i93]Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mehdi Bennis, Mark R. Bell:
A Proximal Jacobian ADMM Approach for Fast Massive MIMO Signal Detection in Low-Latency Communications. CoRR abs/1903.00738 (2019) - [i92]Abubakr O. Al-Abbasi, Arnob Ghosh, Vaneet Aggarwal:
DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning. CoRR abs/1903.03882 (2019) - [i91]Nilay Tiwari, Arnob Ghosh, Vaneet Aggarwal:
Reinforcement Learning for Mean Field Game. CoRR abs/1905.13357 (2019) - [i90]