Data Science & Analytics
This field, situated at the intersection of technology, statistics, and business strategy, is dedicated to extracting valuable insights from diverse datasets. Utilizing advanced algorithms and machine learning techniques, data scientists analyze information to uncover patterns, trends, and correlations, driving innovation across industries.
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64 result(s)
HyLAC: Hybrid Linear Assignment solver in CUDA
S Kawtikwar, R Nagi, 2024, Journal of Parallel and Distributed Computing, Volume 187, 104838, https://www.sciencedirect.com/science/article/pii/S0743731524000029
Distributionally Robust Optimization through the Lens of Submodularity
K Natarajan, D Padmanabhan, A Ramachandra, 2023, Social Science Research Network, 1-36, https://arxiv.org/pdf/2312.04890.pdf
Submodularity, Pairwise Independence and Correlation Gap
A Ramachandra, K Natarajan, 2023, IIM Bangalore Research Paper, 691, https://optimization-online.org/wp-content/uploads/2022/09/arxiv_submodularity-pairwise-independence-and-correlation-gap.pdf
Discrete Optimal Transport with Independent Marginals is# P-Hard
B Taşkesen, S Shafieezadeh-Abadeh, D Kuhn, K Natarajan, 2023, SIAM Journal on Optimization, Pages 589-614, https://epubs.siam.org/doi/full/10.1137/22M1482044
Tight Probability Bounds with Pairwise Independence
AK Ramachandra, K Natarajan, 2023, SIAM Journal on Discrete Mathematic, 516-555, https://epubs.siam.org/doi/full/10.1137/21M1408294
A Highly Efficient Algorithm for Solving Exclusive Lasso Problems
M. Lin, Y. Yuan, D. Sun, and K-C.Toh, M. Lin, Y. Yuan, D. Sun, and K-C.Toh, 2023, Optimization Methods and Software, Optimization Methods and Software, https://www.tandfonline.com/doi/full/10.1080/10556788.2023.2253356
A Nonparametric Approach with Marginals for Modeling Consumer Choice
Y. Ruan, X. Li, K. Murthy, K. Natarajan, 2023, Economics & Computation (EC), 1078, https://dl.acm.org/doi/abs/10.1145/3580507.3597743
A Positive and Moment-preserving Fourier Spectral Method
Z. Cai, B. Lin, and M. Lin, 2023, SIAM Journal on Numerical Analysis, https://www.researchgate.net/publication/370227657_A_positive_and_moment-preserving_Fourier_spectral_method
Achieving Efficiency in Black-box Simulation of Distribution Tails with Self-structuring Importance Samplers
A. Deo, K. Murthy, 2023, Operations Research, https://pubsonline.informs.org/doi/10.1287/opre.2021.0331
Aggregating Heavy-tailed Random Vectors: from Finite Sums to Levy Processess
B. Das and V. Fasen-Hartmann, 2023, Under review (Annales de l’institut Henri Poincaré Probabilités et Statistiques), https://arxiv.org/abs/2301.10423