Vinodchandran, N. V.

14 publications

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

NeurIPS 2025 Distribution Learning Meets Graph Structure Sampling Arnab Bhattacharyya, Sutanu Gayen, Philips George John, Sayantan Sen, 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

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

AAAI 2023 Constraint Optimization over Semirings Aduri Pavan, Kuldeep S. Meel, N. V. Vinodchandran, Arnab Bhattacharyya

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

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

ALT 2021 Testing Product Distributions: A Closer Look Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, N. V. Vinodchandran

NeurIPS 2020 Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S Meel, N. V. Vinodchandran

MLJ 2008 On Reoptimizing Multi-Class Classifiers Chris Bourke, Kun Deng, Stephen D. Scott, Robert E. Schapire, N. V. Vinodchandran

ICML 2004 SVM-Based Generalized Multiple-Instance Learning via Approximate Box Counting Qingping Tao, Stephen Donald Scott, N. V. Vinodchandran, Thomas Takeo Osugi

ALT 1997 Exact Learning via Teaching Assistants (Extended Abstract) Vikraman Arvind, N. V. Vinodchandran

ALT 1996 The Complexity of Exactly Learning Algebraic Concepts. (Extended Abstract) Vikraman Arvind, N. V. Vinodchandran