Arya Mazumdar

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 125

Top Venues

CoRR

ISIT

IEEE Trans. Inf. Theory

NeurIPS

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Daniel Hsu, Arya Mazumdar
On the sample complexity of parameter estimation in logistic regression with normal design. COLT (2024)
Harsh Vardhan, Avishek Ghosh, Arya Mazumdar
An Improved Federated Clustering Algorithm with Model-based Clustering. Trans. Mach. Learn. Res. 2024 (2024)
Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar
Transfer Learning for Latent Variable Network Models. CoRR (2024)
Namiko Matsumoto, Arya Mazumdar, Soumyabrata Pal
Improved Support Recovery in Universal 1-bit Compressed Sensing. IEEE Trans. Inf. Theory 70 (2) (2024)
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar
Competing Bandits in Non-Stationary Matching Markets. IEEE Trans. Inf. Theory 70 (4) (2024)
Namiko Matsumoto, Arya Mazumdar
Robust 1-bit Compressed Sensing with Iterative Hard Thresholding. SODA (2024)
Andrew B. Kahng, Arya Mazumdar, Jodi Reeves, Yusu Wang
The TILOS AI Institute: Integrating optimization and AI for chip design, networks, and robotics. AI Mag. 45 (1) (2024)
Avishek Ghosh, Arya Mazumdar
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms. CoRR (2024)
Heng Zhu, Avishek Ghosh, Arya Mazumdar
Optimal Compression of Unit Norm Vectors in the High Distortion Regime. ISIT (2023)
Daniel Hsu, Arya Mazumdar
On the sample complexity of estimation in logistic regression. CoRR (2023)
Xiaofan Yu, Ludmila Cherkasova, Harsh Vardhan, Quanling Zhao, Emily Ekaireb, Xiyuan Zhang, Arya Mazumdar, Tajana Rosing
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks. CoRR (2023)
Xiaofan Yu, Lucy Cherkasova, Harsh Vardhan, Quanling Zhao, Emily Ekaireb, Xiyuan Zhang, Arya Mazumdar, Tajana Rosing
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks. IoTDI (2023)
Arya Mazumdar
Capacity of Locally Recoverable Codes. IEEE J. Sel. Areas Inf. Theory 4 (2023)
Heng Zhu, Avishek Ghosh, Arya Mazumdar
Optimal Compression of Unit Norm Vectors in the High Distortion Regime. CoRR (2023)
Namiko Matsumoto, Arya Mazumdar
Robust 1-bit Compressed Sensing with Iterative Hard Thresholding. CoRR (2023)
Yash Chandak, Shiv Shankar, Venkata Gandikota, Philip S. Thomas, Arya Mazumdar
Optimization using Parallel Gradient Evaluations on Multiple Parameters. CoRR (2023)
Namiko Matsumoto, Arya Mazumdar, Soumyabrata Pal
Improved Support Recovery in Universal One-bit Compressed Sensing. CoRR (2022)
Avishek Ghosh, Arya Mazumdar, Soumyabrata Pal, Rajat Sen
On Learning Mixture of Linear Regressions in the Non-Realizable Setting. CoRR (2022)
Namiko Matsumoto, Arya Mazumdar
Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing. FOCS (2022)
Harshvardhan, Avishek Ghosh, Arya Mazumdar
An Improved Algorithm for Clustered Federated Learning. CoRR (2022)
Venkata Gandikota, Daniel Kane, Raj Kumar Maity, Arya Mazumdar
vqSGD: Vector Quantized Stochastic Gradient Descent. IEEE Trans. Inf. Theory 68 (7) (2022)
Soumyabrata Pal, Arya Mazumdar
On Learning Mixture Models with Sparse Parameters. AISTATS (2022)
Arya Mazumdar, Soumyabrata Pal
Support Recovery in Universal One-Bit Compressed Sensing. ITCS (2022)
Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar
Decentralized Competing Bandits in Non-Stationary Matching Markets. CoRR (2022)
Soumyabrata Pal, Arya Mazumdar, Rajat Sen, Avishek Ghosh
On Learning Mixture of Linear Regressions in the Non-Realizable Setting. ICML (2022)
Arya Mazumdar, Soumyabrata Pal
On Learning Mixture Models with Sparse Parameters. CoRR (2022)
Namiko Matsumoto, Arya Mazumdar
Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing. CoRR (2022)
Sami Davies, Arya Mazumdar, Soumyabrata Pal, Cyrus Rashtchian
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians. ALT (2022)
Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
Community Recovery in the Geometric Block Model. CoRR (2022)
Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
Random Subgraph Detection Using Queries. CoRR (2021)
Soumyabrata Pal, Arya Mazumdar, Venkata Gandikota
Support Recovery of Sparse Signals from a Mixture of Linear Measurements. NeurIPS (2021)
Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney
Byzantine Resilient Distributed Clustering with Redundant Data Assignment. ISIT (2021)
Arya Mazumdar, Soumyabrata Pal
Semisupervised Clustering by Queries and Locally Encodable Source Coding. IEEE Trans. Inf. Theory 67 (2) (2021)
Arya Mazumdar, Soumyabrata Pal
Support Recovery in Universal One-bit Compressed Sensing. CoRR (2021)
Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
Fuzzy Clustering with Similarity Queries. CoRR (2021)
Larkin Flodin, Arya Mazumdar
Probabilistic Group Testing with a Linear Number of Tests. CoRR (2021)
Larkin Flodin, Arya Mazumdar
Probabilistic Group Testing with a Linear Number of Tests. ISIT (2021)
Venkata Gandikota, Daniel Kane, Raj Kumar Maity, Arya Mazumdar
vqSGD: Vector Quantized Stochastic Gradient Descent. AISTATS (2021)
Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
Trace Reconstruction: Generalized and Parameterized. IEEE Trans. Inf. Theory 67 (6) (2021)
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran
Escaping Saddle Points in Distributed Newton's Method with Communication efficiency and Byzantine Resilience. CoRR (2021)
Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
Fuzzy Clustering with Similarity Queries. NeurIPS (2021)
Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon
Session-Aware Query Auto-completion using Extreme Multi-Label Ranking. KDD (2021)
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Communication-Efficient and Byzantine-Robust Distributed Learning With Error Feedback. IEEE J. Sel. Areas Inf. Theory 2 (3) (2021)
Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal
Support Recovery of Sparse Signals from a Mixture of Linear Measurements. CoRR (2021)
Sami Davies, Arya Mazumdar, Soumyabrata Pal, Cyrus Rashtchian
Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians. CoRR (2021)
Soumyabrata Pal, Arya Mazumdar
Recovery of Sparse Signals from a Mixture of Linear Samples. ICML (2020)
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Communication-Efficient and Byzantine-Robust Distributed Learning. ITA (2020)
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Communication Efficient and Byzantine Tolerant Distributed Learning. ISIT (2020)
Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat
Reliable Distributed Clustering with Redundant Data Assignment. ISIT (2020)
Shashanka Ubaru, Sanjeeb Dash, Arya Mazumdar, Oktay Günlük
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping. NeurIPS (2020)
Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat
Reliable Distributed Clustering with Redundant Data Assignment. CoRR (2020)
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
Distributed Newton Can Communicate Less and Resist Byzantine Workers. CoRR (2020)
Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal
High Dimensional Discrete Integration over the Hypergrid. UAI (2020)
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
Distributed Newton Can Communicate Less and Resist Byzantine Workers. NeurIPS (2020)
Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal
Recovery of sparse linear classifiers from mixture of responses. CoRR (2020)
Shashanka Ubaru, Sanjeeb Dash, Arya Mazumdar, Oktay Günlük
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping. CoRR (2020)
Ryan McKenna, Raj Kumar Maity, Arya Mazumdar, Gerome Miklau
A workload-adaptive mechanism for linear queries under local differential privacy. CoRR (2020)
Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
Algebraic and Analytic Approaches for Parameter Learning in Mixture Models. ALT (2020)
Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon
Session-Aware Query Auto-completion using Extreme Multi-label Ranking. CoRR (2020)
Ryan McKenna, Raj Kumar Maity, Arya Mazumdar, Gerome Miklau
A workload-adaptive mechanism for linear queries under local differential privacy. Proc. VLDB Endow. 13 (11) (2020)
Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran
Communication Efficient Distributed Approximate Newton Method. ISIT (2020)
Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal
Recovery of sparse linear classifiers from mixture of responses. NeurIPS (2020)
Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
Algebraic and Analytic Approaches for Parameter Learning in Mixture Models. CoRR (2020)
Arya Mazumdar, Soumyabrata Pal
Recovery of Sparse Signals from a Mixture of Linear Samples. CoRR (2020)
Larkin Flodin, Venkata Gandikota, Arya Mazumdar
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing. CoRR (2019)
Raj Kumar Maity, Ankit Singh Rawat, Arya Mazumdar
Robust Gradient Descent via Moment Encoding and LDPC Codes. ISIT (2019)
Larkin Flodin, Venkata Gandikota, Arya Mazumdar
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing. NeurIPS (2019)
Wasim Huleihel, Arya Mazumdar, Muriel Médard, Soumyabrata Pal
Same-Cluster Querying for Overlapping Clusters. CoRR (2019)
Arya Mazumdar, Soumyabrata Pal
Semisupervised Clustering by Queries and Locally Encodable Source Coding. CoRR (2019)
Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
Trace Reconstruction: Generalized and Parameterized. ESA (2019)
Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
Sample Complexity of Learning Mixtures of Sparse Linear Regressions. CoRR (2019)
Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
Sample Complexity of Learning Mixture of Sparse Linear Regressions. NeurIPS (2019)
Abhishek Agarwal, Larkin Flodin, Arya Mazumdar
Linear Programming Approximations for Index Coding. IEEE Trans. Inf. Theory 65 (9) (2019)
Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Communication-Efficient and Byzantine-Robust Distributed Learning. CoRR (2019)
Venkata Gandikota, Raj Kumar Maity, Arya Mazumdar
vqSGD: Vector Quantized Stochastic Gradient Descent. CoRR (2019)
Wasim Huleihel, Arya Mazumdar, Muriel Médard, Soumyabrata Pal
Same-Cluster Querying for Overlapping Clusters. NeurIPS (2019)
Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
Connectivity of Random Annulus Graphs and the Geometric Block Model. APPROX-RANDOM (2019)
Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
Trace Reconstruction: Generalized and Parameterized. CoRR (2019)
Arya Mazumdar, Ankit Singh Rawat
Learning and Recovery in the ReLU Model. Allerton (2019)
Arya Mazumdar, Andrew McGregor, Sofya Vorotnikova
Storage Capacity as an Information-Theoretic Vertex Cover and the Index Coding Rate. IEEE Trans. Inf. Theory 65 (9) (2019)
Arya Mazumdar
Capacity of Locally Recoverable Codes. CoRR (2018)
Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
The Geometric Block Model. AAAI (2018)
Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal
High Dimensional Discrete Integration by Hashing and Optimization. CoRR (2018)
Raj Kumar Maity, Ankit Singh Rawat, Arya Mazumdar
Robust Gradient Descent via Moment Encoding with LDPC Codes. CoRR (2018)
Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
Connectivity in Random Annulus Graphs and the Geometric Block Model. CoRR (2018)
Abhishek Agarwal, Sidharth Jaggi, Arya Mazumdar
Novel Impossibility Results for Group-Testing. CoRR (2018)
Abhishek Agarwal, Alexander Barg, Sihuang Hu, Arya Mazumdar, Itzhak Tamo
Combinatorial Alphabet-Dependent Bounds for Locally Recoverable Codes. IEEE Trans. Inf. Theory 64 (5) (2018)
Abhishek Agarwal, Larkin Flodin, Arya Mazumdar
Linear Programming Approximations for Index Coding. CoRR (2018)
Sainyam Galhotra, Soumyabrata Pal, Arya Mazumdar, Barna Saha
The Geometric Block Model and Applications. Allerton (2018)
Arya Mazumdar, Ankit Singh Rawat
Representation Learning and Recovery in the ReLU Model. CoRR (2018)
Abhishek Agarwal, Sidharth Jaggi, Arya Mazumdar
Novel Impossibility Results for Group-Testing. ISIT (2018)
Po-Ling Loh, Arya Mazumdar, Dimitris S. Papailiopoulos, Rüdiger L. Urbanke
Coding Theory for Inference, Learning and Optimization (Dagstuhl Seminar 18112). Dagstuhl Reports 8 (3) (2018)
Arya Mazumdar
Capacity of Locally Recoverable Codes. ITW (2018)
Abhishek Agarwal, Alexander Barg, Sihuang Hu, Arya Mazumdar, Itzhak Tamo
Combinatorial Alphabet-Dependent Bounds for Locally Recoverable Codes. CoRR (2017)
Shashanka Ubaru, Arya Mazumdar, Yousef Saad
Low Rank Approximation and Decomposition of Large Matrices Using Error Correcting Codes. IEEE Trans. Inf. Theory 63 (9) (2017)
Pan Li, Arya Mazumdar, Olgica Milenkovic
Efficient Rank Aggregation via Lehmer Codes. CoRR (2017)
Pan Li, Arya Mazumdar, Olgica Milenkovic
Efficient Rank Aggregation via Lehmer Codes. AISTATS (2017)
Arya Mazumdar, Barna Saha
Clustering with Noisy Queries. NIPS (2017)
Arya Mazumdar, Ankit Singh Rawat
Associative Memory Using Dictionary Learning and Expander Decoding. AAAI (2017)
Arya Mazumdar, Barna Saha
A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution. AAAI (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Arya Mazumdar