| 2026 | AAAI | ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions. | Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal |
| 2026 | INFOCOM | LiSFC-Search: Lifelong Search for Network SFC Optimization under Non-stationary Drifts. | Zuyuan Zhang, Vaneet Aggarwal, Tian Lan |
| 2025 | AAAI | Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment. | Prashant Trivedi, Souradip Chakraborty, Avinash Reddy, Vaneet Aggarwal, Amrit Singh Bedi, George K. Atia |
| 2025 | AISTATS | Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants. | Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini |
| 2025 | AISTATS | Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs. | Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal |
| 2025 | ICAPS | Rack Position Optimization in Large-Scale Heterogeneous Data Centers. | Chang-Lin Chen, Jiayu Chen, Tian Lan, Zhaoxia Zhao, Hongbo Dong, Vaneet Aggarwal |
| 2025 | ICLR | Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis. | Guangchen Lan, Dong-Jun Han, Abolfazl Hashemi, Vaneet Aggarwal, Christopher Brinton |
| 2025 | ICML | Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach. | Yang Xu, Vaneet Aggarwal |
| 2025 | ICML | A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach. | Swetha Ganesh, Washim Uddin Mondal, Vaneet Aggarwal |
| 2025 | ICML | Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes. | Bhargav Ganguly, Yang Xu, Vaneet Aggarwal |
| 2025 | IJCAI | Variational Offline Multi-agent Skill Discovery. | Jiayu Chen, Tian Lan, Vaneet Aggarwal |
| 2025 | INFOCOM | Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration. | Zuyuan Zhang, Vaneet Aggarwal, Tian Lan |
| 2025 | IROS | Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion. | Vineet Punyamoorty, Pascal Jutras-Dub, Ruqi Zhang, Vaneet Aggarwal, Damon Conover, Aniket Bera |
| 2025 | UAI | Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization. | Swetha Ganesh, Jiayu Chen, Washim Uddin Mondal, Vaneet Aggarwal |
| 2024 | AAAI | Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes. | Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal |
| 2024 | AAAI | Combinatorial Stochastic-Greedy Bandit. | Fares Fourati, Christopher John Quinn, Mohamed-Slim Alouini, Vaneet Aggarwal |
| 2024 | AISTATS | Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes. | Washim Uddin Mondal, Vaneet Aggarwal |
| 2024 | ECAI | FilFL: Client Filtering for Optimized Client Participation in Federated Learning. | Fares Fourati, Salma Kharrat, Vaneet Aggarwal, Mohamed-Slim Alouini, Marco Canini |
| 2024 | ICLR | Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization. | Mohammad Pedramfar, Yididiya Y. Nadew, Christopher John Quinn, Vaneet Aggarwal |
| 2024 | ICLR | Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model. | Liyang Zhu, Meng Ding, Vaneet Aggarwal, Jinhui Xu, Di Wang |
| 2024 | ICML | Federated Combinatorial Multi-Agent Multi-Armed Bandits. | Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal |
| 2024 | ICML | Stochastic Q-learning for Large Discrete Action Spaces. | Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini |
| 2024 | ICML | Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization. | Mudit Gaur, Amrit S. Bedi, Di Wang, Vaneet Aggarwal |
| 2024 | ICML | Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles. | Bhrij Patel, Wesley A. Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Dinesh Manocha, Amrit S. Bedi |
| 2024 | QCE | Quantum-Enhanced Spiking Neural Networks. | Ria Khatoniar, Debanjan Konar, Vaneet Aggarwal |
| 2023 | AAAI | Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm. | Qinbo Bai, Amrit Singh Bedi, Vaneet Aggarwal |
| 2023 | AISTATS | Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback. | Fares Fourati, Vaneet Aggarwal, Christopher J. Quinn, Mohamed-Slim Alouini |
| 2023 | ICCV | Domain Adaptive Few-Shot Open-Set Learning. | Debabrata Pal, Deeptej More, Sai Bhargav, Dipesh Tamboli, Vaneet Aggarwal, Biplab Banerjee |
| 2023 | ICML | Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. | Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal |
| 2023 | ICML | On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization. | Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal |
| 2023 | ICML | A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback. | Guanyu Nie, Yididiya Y. Nadew, Yanhui Zhu, Vaneet Aggarwal, Christopher John Quinn |
| 2023 | ICRA | Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control. | Jiayu Chen, Tian Lan, Vaneet Aggarwal |
| 2023 | IJCNN | Deep Spiking Quantum Neural Network for Noisy Image Classification. | Debanjan Konar, Vaneet Aggarwal, Aditya Das Sarma, Soham Bhandary, Siddhratha Bhattacharyya, Attila Cangi |
| 2023 | IWQoS | A Data-Driven Framework for TCP to Achieve Flexible QoS Control in Mobile Data Networks. | Jiaqi Yao, Ke Liu, Ting Liang, Theophilus A. Benson, Jack Y. B. Lee, Vaneet Aggarwal, Yungang Bao, Mingyu Chen |
| 2022 | AAAI | Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach. | Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal |
| 2022 | ICML | FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. | Anis Elgabli, Chaouki Ben Issaid, Amrit Singh Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal |
| 2022 | UAI | Regret guarantees for model-based reinforcement learning with long-term average constraints. | Mridul Agarwal, Qinbo Bai, Vaneet Aggarwal |
| 2022 | UAI | Information theoretic approach to detect collusion in multi-agent games. | Trevor Bonjour, Vaneet Aggarwal, Bharat K. Bhargava |
| 2022 | UAI | Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction? | Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri |
| 2022 | UAI | An explore-then-commit algorithm for submodular maximization under full-bandit feedback. | Guanyu Nie, Mridul Agarwal, Abhishek Kumar Umrawal, Vaneet Aggarwal, Christopher John Quinn |
| 2021 | AAAI | DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. | Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn |
| 2021 | ACSSC | Randomized Linear Programming for Tabular Average-Cost Multi-agent Reinforcement Learning. | Alec Koppel, Amrit Singh Bedi, Bhargav Ganguly, Vaneet Aggarwal |
| 2021 | AISTATS | Reinforcement Learning for Constrained Markov Decision Processes. | Ather Gattami, Qinbo Bai, Vaneet Aggarwal |
| 2021 | ALT | Stochastic Top-K Subset Bandits with Linear Space and Non-Linear Feedback. | Mridul Agarwal, Vaneet Aggarwal, Christopher J. Quinn, Abhishek K. Umrawal |
| 2021 | GECCO | Training spiking neural networks with a multi-agent evolutionary robotics framework. | Souvik Das, Anirudh Shankar, Vaneet Aggarwal |
| 2021 | GLOBECOM | Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. | Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal |
| 2021 | ICRA | DESERTS: DElay-tolerant SEmi-autonomous Robot Teleoperation for Surgery. | Glebys T. Gonzalez, Mridul Agarwal, Mythra V. Balakuntala, Md. Masudur Rahman, Upinder Kaur, Richard M. Voyles, Vaneet Aggarwal, Yexiang Xue, Juan P. Wachs |
| 2021 | SMC | Video-based AI Decision Support System for Lifting Risk Assessment. | Guoyang Zhou, Vaneet Aggarwal, Ming Yin, Denny Yu |
| 2021 | SIGMOD | Auditable serverless computing for farm management. | Servio Palacios, Drew Zabrocki, Bharat K. Bhargava, Vaneet Aggarwal |
| 2021 | RO-MAN | Dexterous Skill Transfer between Surgical Procedures for Teleoperated Robotic Surgery. | Mridul Agarwal, Glebys T. Gonzalez, Mythra V. Balakuntala, Md. Masudur Rahman, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs |
| 2021 | UAI | Communication efficient parallel reinforcement learning. | Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal |
| 2020 | CISS | Escaping Saddle Points for Zeroth-order Non-convex Optimization using Estimated Gradient Descent. | Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal |
| 2020 | CISS | Communication Efficient Framework for Decentralized Machine Learning. | Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal |
| 2020 | HPCC | Freeway: An Order-less User-space Framework for Non-real-time Applications. | Yifan Shen, Ke Liu, Ziting Guo, Wenli Zhang, Guanghui Zhang, Vaneet Aggarwal, Mingyu Chen |
| 2020 | ICASSP | Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. | Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal |
| 2020 | ICNP | A Multi-agent Reinforcement Learning Perspective on Distributed Traffic Engineering. | Nan Geng, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu |
| 2020 | INFOCOM | Sequential addition of coded sub-tasks for straggler mitigation. | Ajay Badita, Parimal Parag, Vaneet Aggarwal |
| 2020 | ITW | An Embedded Index Code Construction Using Sub-packetization. | Shanuja Sasi, Vaneet Aggarwal, B. Sundar Rajan |
| 2020 | SENSYS | AdaPool: An Adaptive Model-Free Ride-Sharing Approach for Dispatching using Deep Reinforcement Learning. | Marina Haliem, Vaneet Aggarwal, Bharat K. Bhargava |
| 2019 | GLOBECOM | On the Information Freshness and Tail Latency Trade-Off in Mobile Networks. | Abubakr O. Al-Abbasi, Ali A. Elghariani, Anis Elgabli, Vaneet Aggarwal |
| 2019 | ISIT | A Method to Improve Consensus Averaging using Quantized ADMM. | Nandan Sriranga, Chandra R. Murthy, Vaneet Aggarwal |
| 2019 | ITW | Optimal Broadcast Rate of a Class of Two-Sender Unicast Index Coding Problems. | Chinmayananda Arunachala, Vaneet Aggarwal, B. Sundar Rajan |
| 2019 | WCNC | Queuing Theoretic Models for Multicasting Under Fading. | Mahadesh Panju, Ramkumar Raghu, Vaneet Aggarwal, Vinod Sharma, Ramachandran Rajesh |
| 2019 | RO-MAN | Transferring Dexterous Surgical Skill Knowledge between Robots for Semi-autonomous Teleoperation. | Md. Masudur Rahman, Natalia Sanchez-Tamayo, Glebys T. Gonzalez, Mridul Agarwal, Vaneet Aggarwal, Richard M. Voyles, Yexiang Xue, Juan P. Wachs |
| 2018 | CVPR | Wide Compression: Tensor Ring Nets. | Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal |
| 2018 | GLOBECOM | QoE-Aware Resource Allocation for Small Cells. | Anis Elgabli, Ali A. Elghariani, Vaneet Aggarwal, Mark R. Bell |
| 2018 | INFOCOM | EdgeCache: An optimized algorithm for CDN-based over-the-top video streaming services. | Abubakr O. Al-Abbasi, Vaneet Aggarwal |
| 2018 | INFOCOM | Mean latency optimization in erasure-coded distributed storage systems. | Abubakr O. Al-Abbasi, Vaneet Aggarwal |
| 2018 | INFOCOM | GroupCast: Preference-aware cooperative video streaming with scalable video coding. | Anis Elgabli, Vaneet Aggarwal |
| 2018 | INFOCOM | Stochastic non-preemptive co-flow scheduling with time-indexed relaxation. | Ruijiu Mao, Vaneet Aggarwal, Mung Chiang |
| 2017 | ICCV | Efficient Low Rank Tensor Ring Completion. | Wenqi Wang, Vaneet Aggarwal, Shuchin Aeron |
| 2017 | INFOCOM | Taming tail latency for erasure-coded, distributee storage systems. | Vaneet Aggarwal, Jingxian Fan, Tian Lan |
| 2017 | ISIT | A characterization of sampling patterns for low-tucker-rank tensor completion problem. | Morteza Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang |
| 2017 | ISIT | A characterization of sampling patterns for low-rank multi-view data completion problem. | Morteza Ashraphijuo, Xiaodong Wang, Vaneet Aggarwal |
| 2017 | SECON | Joint Upload-Download TCP Acceleration over Mobile Data Networks. | Ke Liu, Vaneet Aggarwal, Ziyu Shao, Mingyu Chen |
| 2016 | CNSM | Inferring smartphone service quality using tensor methods. | Vaneet Aggarwal, Ajay Mahimkar, Hongyao Ma, Zemin Zhang, Shuchin Aeron, Walter Willinger |
| 2016 | ICASSP | Tensor completion via adaptive sampling of tensor fibers: Application to efficient indoor RF fingerprinting. | Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, Min-You Wu |
| 2016 | ICDCS | Sprout: A Functional Caching Approach to Minimize Service Latency in Erasure-Coded Storage. | Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang |
| 2016 | INFOCOM | A QoS-enabled holistic optimization framework for LTE-Advanced heterogeneous networks. | Rajarajan Sivaraj, Ioannis Broustis, N. K. Shankaranarayanan, Vaneet Aggarwal, Rittwik Jana, Prasant Mohapatra |
| 2016 | ISIT | On deterministic conditions for subspace clustering under missing data. | Wenqi Wang, Shuchin Aeron, Vaneet Aggarwal |
| 2015 | CCGRID | Taming Latency in Data Center Networking with Erasure Coded Files. | Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan |
| 2015 | GECCO | A Biased Random-key Genetic Algorithm for Placement of Virtual Machines across Geo-Separated Data Centers. | Fernando Stefanello, Vaneet Aggarwal, Luciana Salete Buriol, Jos Fernando Gonalves, Mauricio G. C. Resende |
| 2015 | ICDCS | Multi-tenant Latency Optimization in Erasure-Coded Storage with Differentiated Services. | Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen |
| 2015 | INFOCOM | Mitigating macro-cell outage in LTE-Advanced deployments. | Rajarajan Sivaraj, Ioannis Broustis, N. K. Shankaranarayanan, Vaneet Aggarwal, Prasant Mohapatra |
| 2015 | ISIT | Capacity of two-way linear deterministic diamond channel. | Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang |
| 2015 | ISIT | Energy-bandwidth allocation in multiple orthogonal broadcast channels with energy harvesting. | Zhe Wang, Vaneet Aggarwal, Xiaodong Wang |
| 2015 | ISIT | Energy-subchannel allocation for energy harvesting nodes in frequency-selective channels. | Zhe Wang, Xiaodong Wang, Vaneet Aggarwal |
| 2014 | INFOCOM | Distributed data storage systems with opportunistic repair. | Vaneet Aggarwal, Chao Tian, Vinay A. Vaishampayan, Yih-Farn Robin Chen |
| 2014 | INFOCOM | Exploiting mobility in proportional fair cellular scheduling: Measurements and algorithms. | Robert Margolies, Ashwin Sridharan, Vaneet Aggarwal, Rittwik Jana, N. K. Shankaranarayanan, Vinay A. Vaishampayan, Gil Zussman |
| 2014 | ISIT | Optimal energy-bandwidth allocation for energy harvesting interference networks. | Zhe Wang, Vaneet Aggarwal, Xiaodong Wang |
| 2014 | MOBICOM | Modeling web quality-of-experience on cellular networks. | Athula Balachandran, Vaneet Aggarwal, Emir Halepovic, Jeffrey Pang, Srinivasan Seshan, Shobha Venkataraman, He Yan |
| 2013 | INFOCOM | Beyond interference avoidance: Distributed sub-network scheduling in wireless networks with local views. | Pedro E. Santacruz, Vaneet Aggarwal, Ashutosh Sabharwal |
| 2013 | ISIT | Generalized degrees of freedom region for MIMO interference channel with feedback. | Mehdi Ashraphijuo, Vaneet Aggarwal, Xiaodong Wang |
| 2013 | ISIT | Exact-repair regenerating codes via layered erasure correction and block designs. | Chao Tian, Vaneet Aggarwal, Vinay A. Vaishampayan |
| 2012 | CISS | Aligned precoder designs for interference channels based on chordal distance. | Khawla Alnajjar, Vaneet Aggarwal, Vinay A. Vaishampayan, Xiaodong Wang |
| 2012 | CISS | Datacenter net profit optimization with deadline dependent pricing. | Wei Wang, Peng Zhang, Tian Lan, Vaneet Aggarwal |
| 2012 | COMSNETS | Optimizing cloud resources for delivering IPTV services through virtualization. | Vaneet Aggarwal, Vijay Gopalakrishnan, Rittwik Jana, K. K. Ramakrishnan, Vinay A. Vaishampayan |
| 2012 | ITW | Full- or half-duplex? A capacity analysis with bounded radio resources. | Vaneet Aggarwal, Melissa Duarte, Ashutosh Sabharwal, N. K. Shankaranarayanan |
| 2011 | LANMAN | Characterizing fairness for 3G wireless networks. | Vaneet Aggarwal, Rittwik Jana, Jeffrey Pang, K. K. Ramakrishnan, N. K. Shankaranarayanan |
| 2010 | CISS | How (information theoretically) optimal are distributed decisions? | Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal |
| 2010 | ISIT | Normalized sum-capacity of interference networks with partial information. | Vaneet Aggarwal, Amir Salman Avestimehr, Ashutosh Sabharwal |
| 2010 | ISIT | Modeling location uncertainty for eavesdroppers: A secrecy graph approach. | Satashu Goel, Vaneet Aggarwal, Aylin Yener, A. Robert Calderbank |
| 2010 | ISIT | Sum capacity of general deterministic interference channel with channel output feedback. | Achaleshwar Sahai, Vaneet Aggarwal, Melda Yuksel, Ashutosh Sabharwal |
| 2009 | ISIT | Wiretap channel type II with an active eavesdropper. | Vaneet Aggarwal, Lifeng Lai, A. Robert Calderbank, H. Vincent Poor |
| 2009 | ISIT | Message passing in distributed wireless networks. | Vaneet Aggarwal, Youjian Liu, Ashutosh Sabharwal |
| 2009 | ISIT | Engineering fault tolerance for realistic quantum systems via the full error dynamics of quantum codes. | A. Robert Calderbank, Gerald Gilbert, Yaakov S. Weinstein, Vaneet Aggarwal |
| 2009 | ISIT | Information secrecy from multiple eavesdroppers in orthogonal relay channels. | H. Vincent Poor, Lalitha Sankar, Vaneet Aggarwal, A. Robert Calderbank |
| 2008 | ACSSC | Two models for noisy feedback in MIMO channels. | Vaneet Aggarwal, Gajanana Krishna, Srikrishna Bhashyam, Ashutosh Sabharwal |
| 2008 | ISIT | On multiple access channels with asymmetric feedback. | Vaneet Aggarwal, Ashutosh Sabharwal |
| 2008 | ISIT | Diversity order gain with noisy feedback in multiple access channels. | Vaneet Aggarwal, Ashutosh Sabharwal |
| 2007 | ISIT | Boolean Functions, Projection Operators and Quantum Error Correcting Codes. | Vaneet Aggarwal, A. Robert Calderbank |
| 2007 | ITW | On Maximizing Coverage in Gaussian Relay Networks. | Vaneet Aggarwal, Amir Bennatan, A. Robert Calderbank |