PPaperPicks

Vaneet Aggarwal

Purdue University, West Lafayette, IN, USA

34 papers at tracked venues · 24 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-9131-4723 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×10ICML ×7AAAI ×4AISTATS ×3ICLR ×3AAMAS ×2ECAI ×1ICAPS ×1IJCAI ×1IROS ×1UAI ×1

Frequent coauthors

Washim Uddin Mondal
×9
Fares Fourati
×6
Mohamed-Slim Alouini
×6
Swetha Ganesh
×5
Christopher John Quinn
×5
Yang Xu
×4
Amrit S. Bedi
×4
Qinbo Bai
×3
Jiayu Chen
×3
Mohammad Pedramfar
×3
Salma Kharrat
×2
Mudit Gaur
×2

Papers

  1. ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions
    AAAI 2026 ·
    Fares Fourati
    ,
    Mohamed-Slim Alouini
    , Vaneet Aggarwal
  2. A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
    ICML 2025 ·
    Swetha Ganesh
    ,
    Washim Uddin Mondal
    , Vaneet Aggarwal
  3. Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
    ICML 2025 ·
    Yang Xu
    , Vaneet Aggarwal
  4. Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
    AAAI 2025 ·
    Prashant Trivedi
    ,
    Souradip Chakraborty
    ,
    Avinash Reddy
    , Vaneet Aggarwal,
    Amrit Singh Bedi
    ,
    George K. Atia
  5. Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning Framework
    AAMAS 2025 ·
    Subham Pokhriyal
    ,
    Shweta Jain
    ,
    Ganesh Ghalme
    , Vaneet Aggarwal
  6. Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
    ICLR 2025 ·
    Guangchen Lan
    ,
    Dong-Jun Han
    ,
    Abolfazl Hashemi
    , Vaneet Aggarwal,
    Christopher Brinton
  7. Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion
    IROS 2025 ·
    Vineet Punyamoorty
    ,
    Pascal Jutras-Dubé
    ,
    Ruqi Zhang
    , Vaneet Aggarwal,
    Damon Conover
    ,
    Aniket Bera
  8. Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
    AISTATS 2025 ·
    Fares Fourati
    ,
    Salma Kharrat
    , Vaneet Aggarwal,
    Mohamed-Slim Alouini
  9. Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning
    NeurIPS 2025 ·
    Yang Xu
    ,
    Washim Uddin Mondal
    , Vaneet Aggarwal
  10. GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow
    NeurIPS 2025 ·
    Mengbo Wang
    ,
    Shourya Verma
    ,
    Aditya Malusare
    ,
    Luopin Wang
    ,
    Yiyang Lu
    , Vaneet Aggarwal,
    Mario Sola
    ,
    Ananth Grama
    ,
    Nadia Atallah Lanman
  11. Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
    NeurIPS 2025 ·
    Yang Xu
    ,
    Swetha Ganesh
    ,
    Washim Uddin Mondal
    ,
    Qinbo Bai
    , Vaneet Aggarwal
  12. On the Sample Complexity Bounds of Bilevel Reinforcement Learning
    NeurIPS 2025 ·
    Mudit Gaur
    ,
    Utsav Singh
    ,
    Amrit Singh Bedi
    ,
    Raghu Pasupathy
    , Vaneet Aggarwal
  13. Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization
    UAI 2025 ·
    Swetha Ganesh
    ,
    Jiayu Chen
    ,
    Washim Uddin Mondal
    , Vaneet Aggarwal
  14. Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs
    AISTATS 2025 ·
    Swetha Ganesh
    ,
    Washim Uddin Mondal
    , Vaneet Aggarwal
  15. Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes
    ICML 2025 ·
    Bhargav Ganguly
    ,
    Yang Xu
    , Vaneet Aggarwal
  16. Rack Position Optimization in Large-Scale Heterogeneous Data Centers
    ICAPS 2025 ·
    Chang-Lin Chen
    ,
    Jiayu Chen
    ,
    Tian Lan
    ,
    Zhaoxia Zhao
    ,
    Hongbo Dong
    , Vaneet Aggarwal
  17. Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach
    NeurIPS 2025 ·
    Swetha Ganesh
    , Vaneet Aggarwal
  18. Stochastic k-Submodular Bandits with Full Bandit Feedback
    AAMAS 2025 ·
    Guanyu Nie
    , Vaneet Aggarwal,
    Christopher John Quinn
  19. Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization
    NeurIPS 2025 ·
    Mohammad Pedramfar
    ,
    Christopher John Quinn
    , Vaneet Aggarwal
  20. Variational Offline Multi-agent Skill Discovery
    IJCAI 2025 ·
    Jiayu Chen
    ,
    Tian Lan
    , Vaneet Aggarwal
  21. Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
    ICML 2024 ·
    Mudit Gaur
    ,
    Amrit S. Bedi
    ,
    Di Wang
    , Vaneet Aggarwal
  22. Combinatorial Stochastic-Greedy Bandit
    AAAI 2024 ·
    Fares Fourati
    ,
    Christopher John Quinn
    ,
    Mohamed-Slim Alouini
    , Vaneet Aggarwal
  23. Federated Combinatorial Multi-Agent Multi-Armed Bandits
    ICML 2024 ·
    Fares Fourati
    ,
    Mohamed-Slim Alouini
    , Vaneet Aggarwal
  24. FilFL: Client Filtering for Optimized Client Participation in Federated Learning
    ECAI 2024 ·
    Fares Fourati
    ,
    Salma Kharrat
    , Vaneet Aggarwal,
    Mohamed-Slim Alouini
    ,
    Marco Canini
  25. From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
    NeurIPS 2024 ·
    Mohammad Pedramfar
    , Vaneet Aggarwal
  26. Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints
    NeurIPS 2024 ·
    Guanyu Nie
    , Vaneet Aggarwal,
    Christopher J. Quinn
  27. Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
    ICLR 2024 ·
    Liyang Zhu
    ,
    Meng Ding
    , Vaneet Aggarwal,
    Jinhui Xu
    ,
    Di Wang
  28. Improved Sample Complexity Analysis of Natural Policy Gradient Algorithm with General Parameterization for Infinite Horizon Discounted Reward Markov Decision Processes
    AISTATS 2024 ·
    Washim Uddin Mondal
    , Vaneet Aggarwal
  29. Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
    NeurIPS 2024 ·
    Qinbo Bai
    ,
    Washim Uddin Mondal
    , Vaneet Aggarwal
  30. Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
    AAAI 2024 ·
    Qinbo Bai
    ,
    Washim Uddin Mondal
    , Vaneet Aggarwal
  31. Sample-Efficient Constrained Reinforcement Learning with General Parameterization
    NeurIPS 2024 ·
    Washim Uddin Mondal
    , Vaneet Aggarwal
  32. Stochastic Q-learning for Large Discrete Action Spaces
    ICML 2024 ·
    Fares Fourati
    , Vaneet Aggarwal,
    Mohamed-Slim Alouini
  33. Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles
    ICML 2024 ·
    Bhrij Patel
    ,
    Wesley A. Suttle
    ,
    Alec Koppel
    , Vaneet Aggarwal,
    Brian M. Sadler
    ,
    Dinesh Manocha
    ,
    Amrit S. Bedi
  34. Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization
    ICLR 2024 ·
    Mohammad Pedramfar
    ,
    Yididiya Y. Nadew
    ,
    Christopher John Quinn
    , Vaneet Aggarwal