Pavan, A.

9 publications

ICLR 2025 Computational Explorations of Total Variation Distance Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran

ICLR 2025 Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds Michael Chen, A. Pavan, N. V. Vinodchandran, Ruosong Wang, Lin Yang

IJCAI 2024 Improved Evolutionary Algorithms for Submodular Maximization with Cost Constraints Yanhui Zhu, Samik Basu, A. Pavan

NeurIPS 2024 Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma Jason Vander Woude, Peter Dixon, A. Pavan, Jamie Radcliffe, N. V. Vinodchandran

ICML 2024 Total Variation Distance Meets Probabilistic Inference Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran

NeurIPS 2023 List and Certificate Complexities in Replicable Learning Peter Dixon, A. Pavan, Jason Vander Woude, N. V. Vinodchandran

UAI 2023 Maximizing Submodular Functions Under Submodular Constraints Madhavan R. Padmanabhan, Yanhui Zhu, Samik Basu, A. Pavan

IJCAI 2023 On Approximating Total Variation Distance Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran

UAI 2023 Size-Constrained K-Submodular Maximization in Near-Linear Time Guanyu Nie, Yanhui Zhu, Yididiya Y. Nadew, Samik Basu, A. Pavan, Christopher John Quinn