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Bio
My research interests are Theoretical Machine Learning, Applied Statistics and Information Theory. More concisely, I love Statistical recovery/reconstruction problems under different structural assumptions on the data generating mechanism such as sparsity, low-rank, presence of latent clusters among others. Most of my work so far can be categorized into four topics namely 1) Latent Variable models - Mixtures of Linear Regression, Linear Classifiers and Distributions 2) Generative models for Graph Clustering - Geometric Block Model 3) Active learning for Semi-supervised clustering - Disjoint Clusters, Overlapping Clusters and Fuzzy Clusters and 4) Statistical models for Collaborative Filtering.
Research Interests
Papers共 29 篇Author StatisticsCo-AuthorSimilar Experts
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IEEE TRANSACTIONS ON INFORMATION THEORYno. 2 (2024): 1453-1472
International Conference on Artificial Intelligence and Statisticspp.1702-1710, (2024)
NeurIPS (2023)
CoRRpp.7540-7577, (2023)
CoRR (2023)
ICLR 2023 (2023)
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