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Vaneet Aggarwal

Purdue University, West Lafayette, IN, USA

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

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Venues

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

Frequent coauthors

Fares Fourati
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Swetha Ganesh
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Yang Xu
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Mohammad Pedramfar
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Mudit Gaur
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Guanyu Nie
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Washim Uddin Mondal
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Qinbo Bai
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Prashant Trivedi
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Subham Pokhriyal
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Guangchen Lan
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Vineet Punyamoorty
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Papers

  1. ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions
    AAAI 2026 ·
    Fares Fourati
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  2. A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic Approach
    ICML 2025 ·
    Swetha Ganesh
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  3. Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
    ICML 2025 ·
    Yang Xu
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  4. Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
    AAAI 2025 ·
    Prashant Trivedi
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  5. Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning Framework
    AAMAS 2025 ·
    Subham Pokhriyal
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  6. Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
    ICLR 2025 ·
    Guangchen Lan
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  7. Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion
    IROS 2025 ·
    Vineet Punyamoorty
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  8. Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
    AISTATS 2025 ·
    Fares Fourati
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  9. Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning
    NeurIPS 2025 ·
    Yang Xu
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  10. GeneFlow: Translation of Single-cell Gene Expression to Histopathological Images via Rectified Flow
    NeurIPS 2025 ·
    Mengbo Wang
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  11. Global Convergence for Average Reward Constrained MDPs with Primal-Dual Actor Critic Algorithm
    NeurIPS 2025 ·
    Yang Xu
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  12. On the Sample Complexity Bounds of Bilevel Reinforcement Learning
    NeurIPS 2025 ·
    Mudit Gaur
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  13. Order-Optimal Global Convergence for Actor-Critic with General Policy and Neural Critic Parametrization
    UAI 2025 ·
    Swetha Ganesh
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  14. Order-Optimal Regret with Novel Policy Gradient Approaches in Infinite-Horizon Average Reward MDPs
    AISTATS 2025 ·
    Swetha Ganesh
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  15. Quantum Speedups in Regret Analysis of Infinite Horizon Average-Reward Markov Decision Processes
    ICML 2025 ·
    Bhargav Ganguly
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  16. Rack Position Optimization in Large-Scale Heterogeneous Data Centers
    ICAPS 2025 ·
    Chang-Lin Chen
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  17. Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach
    NeurIPS 2025 ·
    Swetha Ganesh
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  18. Stochastic k-Submodular Bandits with Full Bandit Feedback
    AAMAS 2025 ·
    Guanyu Nie
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  19. Uniform Wrappers: Bridging Concave to Quadratizable Functions in Online Optimization
    NeurIPS 2025 ·
    Mohammad Pedramfar
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  20. Variational Offline Multi-agent Skill Discovery
    IJCAI 2025 ·
    Jiayu Chen
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  21. Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization
    ICML 2024 ·
    Mudit Gaur
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  22. Combinatorial Stochastic-Greedy Bandit
    AAAI 2024 ·
    Fares Fourati
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  23. Federated Combinatorial Multi-Agent Multi-Armed Bandits
    ICML 2024 ·
    Fares Fourati
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  24. FilFL: Client Filtering for Optimized Client Participation in Federated Learning
    ECAI 2024 ·
    Fares Fourati
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  25. From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
    NeurIPS 2024 ·
    Mohammad Pedramfar
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  26. Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints
    NeurIPS 2024 ·
    Guanyu Nie
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  27. Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
    ICLR 2024 ·
    Liyang Zhu
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  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
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  29. Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm
    NeurIPS 2024 ·
    Qinbo Bai
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  30. Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
    AAAI 2024 ·
    Qinbo Bai
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  31. Sample-Efficient Constrained Reinforcement Learning with General Parameterization
    NeurIPS 2024 ·
    Washim Uddin Mondal
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  32. Stochastic Q-learning for Large Discrete Action Spaces
    ICML 2024 ·
    Fares Fourati
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  33. Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles
    ICML 2024 ·
    Bhrij Patel
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  34. Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization
    ICLR 2024 ·
    Mohammad Pedramfar
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