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A Distributed Model-Free Ride-Sharing Approach for Joint Matching, Pricing, and Dispatching using Deep Reinforcement Learning

Oct 05, 2020
Marina Haliem, Ganapathy Mani, Vaneet Aggarwal, Bharat Bhargava


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Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks

Aug 30, 2020
Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolo Michelusi, Vaneet Aggarwal, David J. Love, Huaiyu Dai

* 64 pages, 48 figures 

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FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers & Goods Transportation

Jul 27, 2020
Kaushik Manchella, Abhishek K. Umrawal, Vaneet Aggarwal


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Model-Free Algorithm and Regret Analysis for MDPs with Long-Term Constraints

Jun 10, 2020
Qinbo Bai, Vaneet Aggarwal, Ather Gattami


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From Federated Learning to Fog Learning: Towards Large-Scale Distributed Machine Learning in Heterogeneous Wireless Networks

Jun 07, 2020
Seyyedali Hosseinalipour, Christopher G. Brinton, Vaneet Aggarwal, Huaiyu Dai, Mung Chiang

* 7 pages, 4 figures 

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Efficient Gaussian Process Bandits by Believing only Informative Actions

Mar 23, 2020
Amrit Singh Bedi, Dheeraj Peddireddy, Vaneet Aggarwal, Alec Koppel


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Model-Free Algorithm and Regret Analysis for MDPs with Peak Constraints

Mar 11, 2020
Qinbo Bai, Ather Gattami, Vaneet Aggarwal


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A Distributed Model-Free Algorithm for Multi-hop Ride-sharing using Deep Reinforcement Learning

Oct 30, 2019
Ashutosh Singh, Abubakr Alabbasi, Vaneet Aggarwal

* This is an extended version of the work presented in NeurIPS Workshop 2019. arXiv admin note: text overlap with arXiv:1903.03882 

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Deep Reinforcement Learning Based Power control for Wireless Multicast Systems

Oct 24, 2019
Ramkumar Raghu, Pratheek Upadhyaya, Mahadesh Panju, Vaneet Aggarwal, Vinod Sharma


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Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning

Oct 23, 2019
Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal

* 5 pages, 2 figures; submitted to IEEE ICASSP 2020 

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Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent

Oct 03, 2019
Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal

* arXiv admin note: text overlap with arXiv:1703.00887 by other authors 

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Encoders and Decoders for Quantum Expander Codes Using Machine Learning

Sep 06, 2019
Sathwik Chadaga, Mridul Agarwal, Vaneet Aggarwal


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A Reinforcement Learning Based Approach for Joint Multi-Agent Decision Making

Sep 06, 2019
Mridul Agarwal, Vaneet Aggarwal


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GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning

Aug 30, 2019
Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal


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Reinforcement Learning for Mean Field Game

May 30, 2019
Nilay Tiwari, Arnob Ghosh, Vaneet Aggarwal


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DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning

Mar 09, 2019
Abubakr Alabbasi, Arnob Ghosh, Vaneet Aggarwal


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Regret Bounds for Stochastic Combinatorial Multi-Armed Bandits with Linear Space Complexity

Nov 29, 2018
Mridul Agarwal, Vaneet Aggarwal

* 32 pages 

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Covfefe: A Computer Vision Approach For Estimating Force Exertion

Sep 25, 2018
Vaneet Aggarwal, Hamed Asadi, Mayank Gupta, Jae Joong Lee, Denny Yu

* 12 pages 

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Principal Component Analysis with Tensor Train Subspace

Mar 13, 2018
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron


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Tensor Train Neighborhood Preserving Embedding

Mar 10, 2018
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron

* Accepted to IEEE Transactions on Signal Processing, Mar 2018 

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Deterministic and Probabilistic Conditions for Finite Completability of Low-Tucker-Rank Tensor

Feb 28, 2018
Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang


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Wide Compression: Tensor Ring Nets

Feb 25, 2018
Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal

* Accepted to CVPR 2018 

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On Deterministic Sampling Patterns for Robust Low-Rank Matrix Completion

Dec 05, 2017
Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang

* Accepted to IEEE Signal Processing Letters 

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Efficient Low Rank Tensor Ring Completion

Jul 23, 2017
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron

* in Proc. ICCV, Oct. 2017. arXiv admin note: text overlap with arXiv:1609.05587 

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Rank Determination for Low-Rank Data Completion

Jul 03, 2017
Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal

* Journal of Machine Learning Research, 18(98), pp. 1-29, Sept 2017 

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Deterministic and Probabilistic Conditions for Finite Completability of Low-rank Multi-View Data

Apr 26, 2017
Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal


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Unsupervised clustering under the Union of Polyhedral Cones (UOPC) model

Oct 15, 2016
Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron

* Pattern Recognition Letters Volume 100, 1 December 2017, Pages 104-109 

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Low-tubal-rank Tensor Completion using Alternating Minimization

Oct 05, 2016
Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang


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