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Vaneet Aggarwal

Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
2023 · Guangchen Lan, Han Wang, et al. · neural information processing systems · 14
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Multi-Objective Reinforcement Learning with Non-Linear Scalarization
2022 · Mridul Agarwal, Vaneet Aggarwal, et al. · Adaptive Agents and Multi-Agents Systems · 9
Scalable Multi-Agent Covering Option Discovery Based on Kronecker Graphs
2022 · Jiayu Chen, Jingdi Chen, et al. · neural information processing systems · 4
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PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning
2022 · Hanhan Zhou, Tian Lan, et al. · neural information processing systems · 3
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning
2023 · Ahmadreza Moradipari, Mohammad Pedramfar, et al. · neural information processing systems · 2
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A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process
2023 · Jiayu Chen, Vaneet Aggarwal, et al. · neural information processing systems · 2
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A Unified Approach for Maximizing Continuous DR-submodular Functions
2023 · Mohammad Pedramfar, Christopher Quinn, et al. · neural information processing systems · 2
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Minimax-Optimal Predictive Flow Matching under Distribution Drift
2026 · Srikanth, Aadithya, Aggarwal, Vaneet · arXiv (Cornell University)
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Sample-Efficient Reinforcement Learning with General Utilities via Neural Dual Critics
2026 · Naskar, Ankur, Aggarwal, Vaneet · arXiv (Cornell University)
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Geometry-Dependent Approximation for Non-Monotone $k$-Submodular Maximization
2026 · Aggarwal, Vaneet · arXiv (Cornell University)
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SQUARE: Structured Quantum Representation Adapters as Compact Quadratic Feature Maps for Frozen Language Models
2026 · Roh, Emily Jimin, Ahn, Hyojun, et al. · arXiv (Cornell University)
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Fourier-Geometric Circuit Design for Gate and Entanglement Placement in Quantum Neural Networks
2026 · Oh, Seungcheol, Im, Chaemoon, et al. · arXiv (Cornell University)
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Reliable Replay through Spatial Coherence in Online Continual Learning
2026 · Sun, Haixiang, Zhang, Jiefu, et al. · arXiv (Cornell University)
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CARVE: Breaking Data Barriers in Chip Placement by Harnessing Reusable Expertise
2026 · Zhang, Jiefu, Sun, Haixiang, et al. · arXiv (Cornell University)
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Constrained Online Learning with Noisy Constraint Values
2026 · Aggarwal, Vaneet · arXiv (Cornell University)
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Online Non-Monotone DR-Submodular Maximization Matching the Offline $0.401$ Factor
2026 · Aggarwal, Vaneet, Lu, Yiyang · arXiv (Cornell University)
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Selection-Aware Stress Testing for Interactive Agents
2026 · Xu, Yang, Li, Chenang, et al. · arXiv (Cornell University)
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Dec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization
2026 · Lu, Yiyang, Pedramfar, Mohammad, et al. · arXiv (Cornell University)
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Online Convex Optimization with Dueling Feedback
2026 · Lu, Yiyang, Jadav, Hareshkumar, et al. · arXiv (Cornell University)
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Adversarial Resilience of Poisson-Process Submodular Maximization over Matroids, and Full-Bandit Learning
2026 · Aggarwal, Vaneet · arXiv (Cornell University)
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Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control
2026 · Zhang, Zuyuan, Aggarwal, Vaneet, et al. · arXiv (Cornell University)
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Hierarchical Multilevel Monte Carlo for Order-Optimal Neural Actor-Critic in Average-Reward CMDPs
2026 · Naskar, Ankur, Aggarwal, Vaneet · arXiv (Cornell University)
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Hypergradient-based Bilevel Reinforcement Learning with Improved Sample Complexity
2026 · Saxena, Naman, Gaur, Mudit, et al. · arXiv (Cornell University)
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Distributionally Robust Listwise Preference Optimization
2026 · Wu, Xudong, Qian, Jian, et al. · arXiv (Cornell University)
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On the Convergence of Self-Improving Online LLM Alignment
2026 · Wu, Xudong, Liu, Pangpang, et al. · arXiv (Cornell University)
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Works count: 42
Citation count: 36
H-index: 3
I10-index: 1
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