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ORCIDSoumyabrata Pal
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2020 – today
- 2024
[j5]Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal:
Random Subgraph Detection Using Queries. J. Mach. Learn. Res. 25: 126:1-126:25 (2024)- [j4]Namiko Matsumoto
, Arya Mazumdar, Soumyabrata Pal:
Improved Support Recovery in Universal 1-bit Compressed Sensing. IEEE Trans. Inf. Theory 70(2): 1453-1472 (2024) - [c26]Soumyabrata Pal, Prateek Varshney, Gagan Madan, Prateek Jain, Abhradeep Thakurta, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava:
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components. AISTATS 2024: 1702-1710 - [c25]Soumyabrata Pal, Milind Tambe, Arun Sai Suggala, Karthikeyan Shanmugam, Aparna Taneja:
Improving Mobile Maternal and Child Health Care Programs: Collaborative Bandits for Time Slot Selection. AAMAS 2024: 1540-1548 - [c24]Dheeraj Baby, Soumyabrata Pal:
Online Matrix Completion: A Collaborative Approach with Hott Items. ICML 2024 - [i25]Dheeraj Baby, Soumyabrata Pal:
Online Matrix Completion: A Collaborative Approach with Hott Items. CoRR abs/2408.05843 (2024) - 2023
- [j3]Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
Community Recovery in the Geometric Block Model. J. Mach. Learn. Res. 24: 338:1-338:53 (2023) - [c23]Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain:
Optimal Algorithms for Latent Bandits with Cluster Structure. AISTATS 2023: 7540-7577 - [c22]Soumyabrata Pal, Prateek Jain:
Online Low Rank Matrix Completion. ICLR 2023 - [c21]Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain:
Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints. NeurIPS 2023 - [c20]Ayush Sawarni, Soumyabrata Pal, Siddharth Barman:
Nash Regret Guarantees for Linear Bandits. NeurIPS 2023 - [i24]Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain:
Optimal Algorithms for Latent Bandits with Cluster Structure. CoRR abs/2301.07040 (2023) - [i23]Soumyabrata Pal, Arun Sai Suggala, Karthikeyan Shanmugam, Prateek Jain:
Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints. CoRR abs/2311.03376 (2023) - 2022
- [c19]Soumyabrata Pal, Arya Mazumdar:
On Learning Mixture Models with Sparse Parameters. AISTATS 2022: 9182-9213 - [c18]Sami Davies, Arya Mazumdar, Soumyabrata Pal, Cyrus Rashtchian:
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians. ALT 2022: 319-341 - [c17]Soumyabrata Pal, Arya Mazumdar, Rajat Sen, Avishek Ghosh:
On Learning Mixture of Linear Regressions in the Non-Realizable Setting. ICML 2022: 17202-17220 - [c16]Arya Mazumdar, Soumyabrata Pal:
Support Recovery in Universal One-Bit Compressed Sensing. ITCS 2022: 106:1-106:20 - [i22]Arya Mazumdar, Soumyabrata Pal:
On Learning Mixture Models with Sparse Parameters. CoRR abs/2202.11940 (2022) - [i21]Avishek Ghosh, Arya Mazumdar, Soumyabrata Pal, Rajat Sen:
On Learning Mixture of Linear Regressions in the Non-Realizable Setting. CoRR abs/2205.13166 (2022) - [i20]Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
Community Recovery in the Geometric Block Model. CoRR abs/2206.11303 (2022) - [i19]Prateek Jain, Soumyabrata Pal:
Online Low Rank Matrix Completion. CoRR abs/2209.03997 (2022) - [i18]Soumyabrata Pal, Prateek Varshney, Prateek Jain, Abhradeep Guha Thakurta, Gagan Madan, Gaurav Aggarwal, Pradeep Shenoy, Gaurav Srivastava:
Private and Efficient Meta-Learning with Low Rank and Sparse Decomposition. CoRR abs/2210.03505 (2022) - [i17]Namiko Matsumoto, Arya Mazumdar, Soumyabrata Pal:
Improved Support Recovery in Universal One-bit Compressed Sensing. CoRR abs/2210.16657 (2022) - 2021
- [j2]Arya Mazumdar, Soumyabrata Pal:
Semisupervised Clustering by Queries and Locally Encodable Source Coding. IEEE Trans. Inf. Theory 67(2): 1141-1155 (2021) - [j1]Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal:
Trace Reconstruction: Generalized and Parameterized. IEEE Trans. Inf. Theory 67(6): 3233-3250 (2021) - [c15]Wasim Huleihel, Soumyabrata Pal, Ofer Shayevitz:
Learning User Preferences in Non-Stationary Environments. AISTATS 2021: 1432-1440 - [c14]Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal:
Fuzzy Clustering with Similarity Queries. NeurIPS 2021: 789-801 - [c13]Soumyabrata Pal, Arya Mazumdar, Venkata Gandikota:
Support Recovery of Sparse Signals from a Mixture of Linear Measurements. NeurIPS 2021: 19082-19094 - [i16]Wasim Huleihel, Soumyabrata Pal, Ofer Shayevitz:
Learning User Preferences in Non-Stationary Environments. CoRR abs/2101.12506 (2021) - [i15]Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal:
Fuzzy Clustering with Similarity Queries. CoRR abs/2106.02212 (2021) - [i14]Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal:
Support Recovery of Sparse Signals from a Mixture of Linear Measurements. CoRR abs/2106.05951 (2021) - [i13]Arya Mazumdar, Soumyabrata Pal:
Support Recovery in Universal One-bit Compressed Sensing. CoRR abs/2107.09091 (2021) - [i12]Sami Davies, Arya Mazumdar, Soumyabrata Pal, Cyrus Rashtchian:
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians. CoRR abs/2109.01064 (2021) - [i11]Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal:
Random Subgraph Detection Using Queries. CoRR abs/2110.00744 (2021) - 2020
- [c12]Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal:
Algebraic and Analytic Approaches for Parameter Learning in Mixture Models. ALT 2020: 468-489 - [c11]Soumyabrata Pal, Arya Mazumdar:
Recovery of Sparse Signals from a Mixture of Linear Samples. ICML 2020: 7466-7475 - [c10]Sheikh Muhammad Sarwar, Raghavendra Addanki, Ali Montazeralghaem, Soumyabrata Pal, James Allan:
Search Result Diversification with Guarantee of Topic Proportionality. ICTIR 2020: 53-60 - [c9]Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal:
Recovery of sparse linear classifiers from mixture of responses. NeurIPS 2020 - [c8]Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal:
High Dimensional Discrete Integration over the Hypergrid. UAI 2020: 410-419 - [i10]Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal:
Algebraic and Analytic Approaches for Parameter Learning in Mixture Models. CoRR abs/2001.06776 (2020) - [i9]Arya Mazumdar, Soumyabrata Pal:
Recovery of Sparse Signals from a Mixture of Linear Samples. CoRR abs/2006.16406 (2020) - [i8]Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal:
Recovery of sparse linear classifiers from mixture of responses. CoRR abs/2010.12087 (2020)
2010 – 2019
- 2019
- [c7]Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
Connectivity of Random Annulus Graphs and the Geometric Block Model. APPROX-RANDOM 2019: 53:1-53:23 - [c6]Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal:
Trace Reconstruction: Generalized and Parameterized. ESA 2019: 68:1-68:25 - [c5]Wasim Huleihel, Arya Mazumdar, Muriel Médard, Soumyabrata Pal:
Same-Cluster Querying for Overlapping Clusters. NeurIPS 2019: 10485-10495 - [c4]Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal:
Sample Complexity of Learning Mixture of Sparse Linear Regressions. NeurIPS 2019: 10531-10540 - [i7]Arya Mazumdar, Soumyabrata Pal:
Semisupervised Clustering by Queries and Locally Encodable Source Coding. CoRR abs/1904.00507 (2019) - [i6]Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal:
Trace Reconstruction: Generalized and Parameterized. CoRR abs/1904.09618 (2019) - [i5]Wasim Huleihel, Arya Mazumdar, Muriel Médard, Soumyabrata Pal:
Same-Cluster Querying for Overlapping Clusters. CoRR abs/1910.12490 (2019) - [i4]Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal:
Sample Complexity of Learning Mixtures of Sparse Linear Regressions. CoRR abs/1910.14106 (2019) - 2018
- [c3]Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
The Geometric Block Model. AAAI 2018: 2215-2222 - [c2]Sainyam Galhotra, Soumyabrata Pal, Arya Mazumdar, Barna Saha:
The Geometric Block Model and Applications. Allerton 2018: 1147-1150 - [i3]Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
Connectivity in Random Annulus Graphs and the Geometric Block Model. CoRR abs/1804.05013 (2018) - [i2]Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal:
High Dimensional Discrete Integration by Hashing and Optimization. CoRR abs/1806.11542 (2018) - 2017
- [c1]Arya Mazumdar, Soumyabrata Pal:
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding. NIPS 2017: 6489-6499 - [i1]Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha:
The Geometric Block Model. CoRR abs/1709.05510 (2017)
Coauthor Index
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