


default search action
Search dblp
Full-text search
- > Home
Please enter a search query
- case-insensitive prefix search: default
e.g., sig matches "SIGIR" as well as "signal" - exact word search: append dollar sign ($) to word
e.g., graph$ matches "graph", but not "graphics" - boolean and: separate words by space
e.g., codd model - boolean or: connect words by pipe symbol (|)
e.g., graph|network
Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.
Author search results
Venue search results
no matches
Refine list
refine by author
- no options
- temporarily not available
refine by venue
- no options
- temporarily not available
refine by type
- no options
- temporarily not available
refine by access
- no options
- temporarily not available
refine by year
- no options
- temporarily not available
Publication search results
found 505 matches
- 2024
- Vaneet Aggarwal
, Rakhi Pratihar
:
Insdel codes from subspace and rank-metric codes. Discret. Math. 347(1): 113675 (2024) - Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai:
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. Found. Trends Optim. 6(4): 193-298 (2024) - Washim Uddin Mondal
, Veni Goyal
, Satish V. Ukkusuri
, Goutam Das
, Di Wang
, Mohamed-Slim Alouini
, Vaneet Aggarwal
:
Near-Perfect Coverage Manifold Estimation in Cellular Networks via Conditional GAN. IEEE Netw. Lett. 6(2): 97-100 (2024) - Divija Swetha Gadiraju, Prasenjit Karmakar
, Vijay K. Shah, Vaneet Aggarwal:
GLIDE: Multi-Agent Deep Reinforcement Learning for Coordinated UAV Control in Dynamic Military Environments. Inf. 15(8): 477 (2024) - Ruibo Wang
, Washim Uddin Mondal
, Mustafa A. Kishk
, Vaneet Aggarwal
, Mohamed-Slim Alouini
:
Terrain-Based Coverage Manifold Estimation: Machine Learning, Stochastic Geometry, or Simulation? IEEE Open J. Commun. Soc. 5: 633-648 (2024) - Ciyuan Zhang
, Su Wang
, Vaneet Aggarwal
, Borja Peleato
:
Coded Caching With Heterogeneous User Profiles. IEEE Trans. Inf. Theory 70(3): 1836-1847 (2024) - Dipesh Tamboli
, Jiayu Chen
, Kiran Pranesh Jotheeswaran
, Denny Yu
, Vaneet Aggarwal
:
Reinforced Sequential Decision-Making for Sepsis Treatment: The PosNegDM Framework With Mortality Classifier and Transformer. IEEE J. Biomed. Health Informatics 28(5): 3114-3122 (2024) - Jiayu Chen
, Tian Lan
, Vaneet Aggarwal
:
Hierarchical Adversarial Inverse Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17549-17558 (2024) - Bhargav Ganguly
, Vaneet Aggarwal
:
Online Federated Learning via Non-Stationary Detection and Adaptation Amidst Concept Drift. IEEE/ACM Trans. Netw. 32(1): 643-653 (2024) - Seyyedali Hosseinalipour
, Su Wang
, Nicolò Michelusi
, Vaneet Aggarwal
, Christopher G. Brinton
, David J. Love
, Mung Chiang:
Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks. IEEE/ACM Trans. Netw. 32(1): 222-237 (2024) - Chenyi Liu
, Vaneet Aggarwal
, Tian Lan
, Nan Geng, Yuan Yang
, Mingwei Xu
, Qing Li
:
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. IEEE/ACM Trans. Netw. 32(2): 1003-1018 (2024) - Moonmoon Mohanty
, Gaurav Gautam
, Vaneet Aggarwal
, Parimal Parag
:
Analysis of Fork-Join Scheduling on Heterogeneous Parallel Servers. IEEE/ACM Trans. Netw. 32(6): 4798-4809 (2024) - Chang-Lin Chen
, Bharat K. Bhargava
, Vaneet Aggarwal
, Basavaraj Tonshal
, Amrit Gopal
:
A Hybrid Deep Reinforcement Learning Approach for Jointly Optimizing Offloading and Resource Management in Vehicular Networks. IEEE Trans. Veh. Technol. 73(2): 2456-2467 (2024) - Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. AAAI 2024: 10980-10988 - Fares Fourati
, Christopher John Quinn, Mohamed-Slim Alouini
, Vaneet Aggarwal:
Combinatorial Stochastic-Greedy Bandit. AAAI 2024: 12052-12060 - Washim Uddin Mondal, Vaneet Aggarwal:
Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes. AISTATS 2024: 3097-3105 - Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, Marco Canini:
FilFL: Client Filtering for Optimized Client Participation in Federated Learning. ECAI 2024: 2460-2467 - Mohammad Pedramfar, Yididiya Y. Nadew, Christopher John Quinn, Vaneet Aggarwal:
Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization. ICLR 2024 - Liyang Zhu, Meng Ding, Vaneet Aggarwal, Jinhui Xu, Di Wang:
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model. ICLR 2024 - Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal:
Federated Combinatorial Multi-Agent Multi-Armed Bandits. ICML 2024 - Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini:
Stochastic Q-learning for Large Discrete Action Spaces. ICML 2024 - Mudit Gaur, Amrit S. Bedi, Di Wang, Vaneet Aggarwal:
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization. ICML 2024 - Bhrij Patel, Wesley A. Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Dinesh Manocha, Amrit S. Bedi:
Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles. ICML 2024 - Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm. NeurIPS 2024 - Washim Uddin Mondal, Vaneet Aggarwal:
Sample-Efficient Constrained Reinforcement Learning with General Parameterization. NeurIPS 2024 - Guanyu Nie, Vaneet Aggarwal, Christopher J. Quinn:
Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints. NeurIPS 2024 - Mohammad Pedramfar, Vaneet Aggarwal:
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization. NeurIPS 2024 - Ria Khatoniar, Debanjan Konar, Vaneet Aggarwal:
Quantum-Enhanced Spiking Neural Networks. QCE 2024: 490-491 - Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal:
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm. CoRR abs/2402.02042 (2024) - Washim Uddin Mondal, Veni Goyal, Satish V. Ukkusuri, Goutam Das, Di Wang, Mohamed-Slim Alouini, Vaneet Aggarwal:
Near-perfect Coverage Manifold Estimation in Cellular Networks via conditional GAN. CoRR abs/2402.06901 (2024)
skipping 475 more matches
loading more results
failed to load more results, please try again later

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
retrieved on 2025-02-14 22:07 CET from data curated by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint