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Author

Soumyabrata Pal

Observed name: Pal, Soumyabrata
Observed institutions: Google (United States), Adobe Systems (United States), Tel Aviv University, Amherst College, University of Massachusetts Amherst, University of California San Diego
ORCID: 0000-0003-2949-3761
Observed ORCID: 0000-0003-2949-3761
OpenAlex ID: A5047754690
Trace Reconstruction: Generalized and Parameterized
2021 · Akshay Krishnamurthy, Arya Mazumdar, et al. · IEEE Transactions on Information Theory · 34
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The Geometric Block Model
2018 · Galhotra, Sainyam, Mazumdar, Arya, et al. · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 15
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Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
2017 · Arya Mazumdar, Soumyabrata Pal · neural information processing systems · 13
Improved Support Recovery in Universal 1-bit Compressed Sensing
2023 · Namiko Matsumoto, Arya Mazumdar, et al. · IEEE Transactions on Information Theory · 7
Semisupervised Clustering by Queries and Locally Encodable Source Coding
2020 · Arya Mazumdar, Soumyabrata Pal · IEEE Transactions on Information Theory · 6
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Search Result Diversification with Guarantee of Topic Proportionality
2020 · Sheikh Muhammad Sarwar, Raghavendra Addanki, et al. · ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR) · 6
Same-Cluster Querying for Overlapping Clusters
2019 · Huleihel, Wasim, Mazumdar, Arya, et al. · arXiv (Cornell University) · 6
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Sample Complexity of Learning Mixture of Sparse Linear Regressions
2019 · Akshay Krishnamurthy, Arya Mazumdar, et al. · arXiv (Cornell University) · 6
The Geometric Block Model
2018 · Sainyam Galhotra, Arya Mazumdar, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 6
Connectivity in Random Annulus Graphs and the Geometric Block Model
2018 · Galhotra, Sainyam, Mazumdar, Arya, et al. · arXiv (Cornell University) · 6
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Recovery of sparse linear classifiers from mixture of responses
2020 · Gandikota, Venkata, Mazumdar, Arya, et al. · arXiv (Cornell University) · 5
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Algebraic and Analytic Approaches for Parameter Learning in Mixture Models
2020 · Krishnamurthy, Akshay, Mazumdar, Arya, et al. · arXiv (Cornell University) · 4
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Sample Complexity of Learning Mixtures of Sparse Linear Regressions
2019 · Krishnamurthy, Akshay, Mazumdar, Arya, et al. · arXiv (Cornell University) · 4
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Support Recovery of Sparse Signals from a Mixture of Linear Measurements
2021 · Soumyabrata Pal, Arya Mazumdar, et al. · arXiv (Cornell University) · 3
Random Subgraph Detection Using Queries
2021 · Huleihel, Wasim, Mazumdar, Arya, et al. · arXiv (Cornell University) · 3
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Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians
2021 · Davies, Sami, Mazumdar, Arya, et al. · arXiv (Cornell University) · 3
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Learning User Preferences in Non-Stationary Environments
2021 · Huleihel, Wasim, Pal, Soumyabrata, et al. · arXiv (Cornell University) · 3
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Recovery of Sparse Signals from a Mixture of Linear Samples
2020 · Mazumdar, Arya, Pal, Soumyabrata · arXiv (Cornell University) · 3
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Improved Support Recovery in Universal One-bit Compressed Sensing
2022 · Matsumoto, Namiko, Mazumdar, Arya, et al. · arXiv (Cornell University) · 2
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Online Low Rank Matrix Completion
2022 · Jain, Prateek, Pal, Soumyabrata · arXiv (Cornell University) · 2
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Community Recovery in the Geometric Block Model
2022 · Galhotra, Sainyam, Mazumdar, Arya, et al. · arXiv (Cornell University) · 2
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Support Recovery of Sparse Signals from a Mixture of Linear Measurements
2021 · Gandikota, Venkata, Mazumdar, Arya, et al. · arXiv (Cornell University) · 2
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The Geometric Block Model and Applications
2018 · Sainyam Galhotra, Soumyabrata Pal, et al. · Allerton Conference on Communication, Control, and Computing · 2
Online Matrix Completion: A Collaborative Approach with Hott Items
2024 · Baby, Dheeraj, Pal, Soumyabrata · arXiv (Cornell University) · 1
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Optimal Algorithms for Latent Bandits with Cluster Structure
2023 · Pal, Soumyabrata, Suggala, Arun Sai, et al. · arXiv (Cornell University) · 1
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Works count: 50
Citation count: 147
H-index: 6
I10-index: 3
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