Arya Mazumdar - RankMe

237 papers A* 29A 6B 41Misc 4Journal 135Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Collaborative Compressors in Distributed Mean Estimation with Limited Communication Budget. CoRR Harsh Vardhan, Arya Mazumdar
2026	J	`jnl`	Distributed Hybrid Sketching for $\ell_{2}$-Embeddings. IEEE Trans. Signal Process. Neophytos Charalambides, Arya Mazumdar
2026	J	`jnl`	The Noisy Quantitative Group Testing Problem. CoRR Tenghao Li, Neha Sangwan, Xiaxin Li, Arya Mazumdar
2025	J	`jnl`	Actively Learning Halfspaces without Synthetic Data. CoRR Hadley Black, Kasper Green Larsen, Arya Mazumdar, Barna Saha, Geelon So
2025	J	`jnl`	Client Selection in Federated Learning with Data Heterogeneity and Network Latencies. CoRR Harsh Vardhan, Xiaofan Yu, Tajana Rosing, Arya Mazumdar
2025	J	`jnl`	Collaborative Compressors in Distributed Mean Estimation with Limited Communication Budget. Trans. Mach. Learn. Res. Harsh Vardhan, Arya Mazumdar
2025	A*	`conf`	Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements. ICML Arya Mazumdar, Neha Sangwan
2025	J	`jnl`	Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements. CoRR Arya Mazumdar, Neha Sangwan
2025	J	`jnl`	Generalization Bound of Gradient Flow through Training Trajectory and Data-dependent Kernel. CoRR Yilan Chen, Zhichao Wang, Wei Huang, Andi Han, Taiji Suzuki, Arya Mazumdar
2025	A*	`conf`	Learning Partitions with Optimal Query and Round Complexities. COLT Hadley Black, Arya Mazumdar, Barna Saha
2025	J	`jnl`	Learning Partitions with Optimal Query and Round Complexities. CoRR Hadley Black, Arya Mazumdar, Barna Saha
2025	B	`conf`	Learning and Generalization with Mixture Data. ISIT Harsh Vardhan, Avishek Ghosh, Arya Mazumdar
2025	J	`jnl`	Learning and Generalization with Mixture Data. CoRR Harsh Vardhan, Avishek Ghosh, Arya Mazumdar
2025	A*	`conf`	Learning sparse generalized linear models with binary outcomes via iterative hard thresholding. COLT Namiko Matsumoto, Arya Mazumdar
2025	J	`jnl`	Learning sparse generalized linear models with binary outcomes via iterative hard thresholding. CoRR Namiko Matsumoto, Arya Mazumdar
2025	J	`jnl`	LocalKMeans: Convergence of Lloyd's Algorithm with Distributed Local Iterations. CoRR Harsh Vardhan, Heng Zhu, Avishek Ghosh, Arya Mazumdar
2025	B	`conf`	Noisy Nonadaptive Group Testing with Binary Splitting: New Test Design and Improvement on Price-Scarlett-Tan's Scheme. ISIT Xiaxin Li, Arya Mazumdar
2025	J	`jnl`	On the Theory of Continual Learning with Gradient Descent for Neural Networks. CoRR Hossein Taheri, Avishek Ghosh, Arya Mazumdar
2025	A*	`conf`	Optimal Graph Reconstruction by Counting Connected Components in Induced Subgraphs. COLT Hadley Black, Arya Mazumdar, Barna Saha, Yinzhan Xu
2025	J	`jnl`	Optimal Graph Reconstruction by Counting Connected Components in Induced Subgraphs. CoRR Hadley Black, Arya Mazumdar, Barna Saha, Yinzhan Xu
2025	A*	`conf`	Optimal Transfer Learning for Missing Not-at-Random Matrix Completion. ICML Akhil Jalan, Yassir Jedra, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar
2025	J	`jnl`	Optimal Transfer Learning for Missing Not-at-Random Matrix Completion. CoRR Akhil Jalan, Yassir Jedra, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar
2025	J	`jnl`	Robust Distributed Clustering With Redundant Data Assignment. IEEE Trans. Inf. Theory Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney
2025	A*	`conf`	Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods. ICLR Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar
2025	J	`jnl`	Support Recovery in Mixture Models With Sparse Parameters. IEEE Trans. Inf. Theory Arya Mazumdar, Soumyabrata Pal
2025	J	`jnl`	Support Recovery in One-bit Compressed Sensing with Near-Optimal Measurements and Sublinear Time. CoRR Xiaxin Li, Arya Mazumdar
2024	A*	`conf`	Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms. ICML Avishek Ghosh, Arya Mazumdar
2024	J	`jnl`	Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms. CoRR Avishek Ghosh, Arya Mazumdar
2024	J	`jnl`	An Improved Federated Clustering Algorithm with Model-based Clustering. Trans. Mach. Learn. Res. Harsh Vardhan, Avishek Ghosh, Arya Mazumdar
2024	J	`jnl`	Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing. J. ACM Namiko Matsumoto, Arya Mazumdar
2024	A*	`conf`	Clustering with Non-adaptive Subset Queries. NeurIPS Hadley Black, Euiwoong Lee, Arya Mazumdar, Barna Saha
2024	J	`jnl`	Clustering with Non-adaptive Subset Queries. CoRR Hadley Black, Euiwoong Lee, Arya Mazumdar, Barna Saha
2024	J	`jnl`	Competing Bandits in Non-Stationary Matching Markets. IEEE Trans. Inf. Theory Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar
2024	B	`conf`	DIST-CURE: A Robust Distributed Learning Algorithm with Cubic Regularized Newton. ISIT Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
2024	J	`jnl`	Distributed Gradient Descent with Many Local Steps in Overparameterized Models. CoRR Heng Zhu, Harsh Vardhan, Arya Mazumdar
2024	J	`jnl`	Distributed Hybrid Sketching for ℓ CoRR Neophytos Charalambides, Arya Mazumdar
2024	B	`conf`	Distributed Local Sketching for £2 Embeddings. ISIT Neophytos Charalambides, Arya Mazumdar
2024	J	`jnl`	Improved Support Recovery in Universal 1-bit Compressed Sensing. IEEE Trans. Inf. Theory Namiko Matsumoto, Arya Mazumdar, Soumyabrata Pal
2024	J	`jnl`	Nonadaptive Noisy Group Testing with Optimal Tests and Decoding. CoRR Xiaxin Li, Arya Mazumdar
2024	A*	`conf`	On the sample complexity of parameter estimation in logistic regression with normal design. COLT Daniel Hsu, Arya Mazumdar
2024	J	`jnl`	Random Subgraph Detection Using Queries. J. Mach. Learn. Res. Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
2024	A*	`conf`	Robust 1-bit Compressed Sensing with Iterative Hard Thresholding. SODA Namiko Matsumoto, Arya Mazumdar
2024	J	`jnl`	Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods. CoRR Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar
2024	J	`jnl`	The TILOS AI Institute: Integrating optimization and AI for chip design, networks, and robotics. AI Mag. Andrew B. Kahng, Arya Mazumdar, Jodi Reeves, Yusu Wang
2024	A*	`conf`	Transfer Learning for Latent Variable Network Models. NeurIPS Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar
2024	J	`jnl`	Transfer Learning for Latent Variable Network Models. CoRR Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar
2023	—	`conf`	Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks. IoTDI Xiaofan Yu, Lucy Cherkasova, Harsh Vardhan, Quanling Zhao, Emily Ekaireb, Xiyuan Zhang, Arya Mazumdar, Tajana Rosing
2023	J	`jnl`	Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks. CoRR Xiaofan Yu, Ludmila Cherkasova, Harsh Vardhan, Quanling Zhao, Emily Ekaireb, Xiyuan Zhang, Arya Mazumdar, Tajana Rosing
2023	J	`jnl`	Capacity of Locally Recoverable Codes. IEEE J. Sel. Areas Inf. Theory Arya Mazumdar
2023	J	`jnl`	Community Recovery in the Geometric Block Model. J. Mach. Learn. Res. Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
2023	J	`jnl`	On the sample complexity of estimation in logistic regression. CoRR Daniel Hsu, Arya Mazumdar
2023	B	`conf`	Optimal Compression of Unit Norm Vectors in the High Distortion Regime. ISIT Heng Zhu, Avishek Ghosh, Arya Mazumdar
2023	J	`jnl`	Optimal Compression of Unit Norm Vectors in the High Distortion Regime. CoRR Heng Zhu, Avishek Ghosh, Arya Mazumdar
2023	J	`jnl`	Optimization using Parallel Gradient Evaluations on Multiple Parameters. CoRR Yash Chandak, Shiv Shankar, Venkata Gandikota, Philip S. Thomas, Arya Mazumdar
2023	J	`jnl`	Robust 1-bit Compressed Sensing with Iterative Hard Thresholding. CoRR Namiko Matsumoto, Arya Mazumdar
2022	J	`jnl`	An Improved Algorithm for Clustered Federated Learning. CoRR Harsh Vardhan, Avishek Ghosh, Arya Mazumdar
2022	A*	`conf`	Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing. FOCS Namiko Matsumoto, Arya Mazumdar
2022	J	`jnl`	Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing. CoRR Namiko Matsumoto, Arya Mazumdar
2022	J	`jnl`	Community Recovery in the Geometric Block Model. CoRR Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
2022	J	`jnl`	Decentralized Competing Bandits in Non-Stationary Matching Markets. CoRR Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar
2022	J	`jnl`	Improved Support Recovery in Universal One-bit Compressed Sensing. CoRR Namiko Matsumoto, Arya Mazumdar, Soumyabrata Pal
2022	B	`conf`	Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians. ALT Sami Davies, Arya Mazumdar, Soumyabrata Pal, Cyrus Rashtchian
2022	A	`conf`	On Learning Mixture Models with Sparse Parameters. AISTATS Soumyabrata Pal, Arya Mazumdar
2022	J	`jnl`	On Learning Mixture Models with Sparse Parameters. CoRR Arya Mazumdar, Soumyabrata Pal
2022	A*	`conf`	On Learning Mixture of Linear Regressions in the Non-Realizable Setting. ICML Soumyabrata Pal, Arya Mazumdar, Rajat Sen, Avishek Ghosh
2022	J	`jnl`	On Learning Mixture of Linear Regressions in the Non-Realizable Setting. CoRR Avishek Ghosh, Arya Mazumdar, Soumyabrata Pal, Rajat Sen
2022	A	`conf`	Support Recovery in Universal One-Bit Compressed Sensing. ITCS Arya Mazumdar, Soumyabrata Pal
2022	J	`jnl`	vqSGD: Vector Quantized Stochastic Gradient Descent. IEEE Trans. Inf. Theory Venkata Gandikota, Daniel Kane, Raj Kumar Maity, Arya Mazumdar
2021	B	`conf`	Byzantine Resilient Distributed Clustering with Redundant Data Assignment. ISIT Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney
2021	J	`jnl`	Communication-Efficient and Byzantine-Robust Distributed Learning With Error Feedback. IEEE J. Sel. Areas Inf. Theory Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
2021	J	`jnl`	Escaping Saddle Points in Distributed Newton's Method with Communication efficiency and Byzantine Resilience. CoRR Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran
2021	A*	`conf`	Fuzzy Clustering with Similarity Queries. NeurIPS Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
2021	J	`jnl`	Fuzzy Clustering with Similarity Queries. CoRR Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
2021	J	`jnl`	Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians. CoRR Sami Davies, Arya Mazumdar, Soumyabrata Pal, Cyrus Rashtchian
2021	B	`conf`	Probabilistic Group Testing with a Linear Number of Tests. ISIT Larkin Flodin, Arya Mazumdar
2021	J	`jnl`	Probabilistic Group Testing with a Linear Number of Tests. CoRR Larkin Flodin, Arya Mazumdar
2021	J	`jnl`	Random Subgraph Detection Using Queries. CoRR Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
2021	J	`jnl`	Semisupervised Clustering by Queries and Locally Encodable Source Coding. IEEE Trans. Inf. Theory Arya Mazumdar, Soumyabrata Pal
2021	A*	`conf`	Session-Aware Query Auto-completion using Extreme Multi-Label Ranking. KDD Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon
2021	J	`jnl`	Support Recovery in Universal One-bit Compressed Sensing. CoRR Arya Mazumdar, Soumyabrata Pal
2021	A*	`conf`	Support Recovery of Sparse Signals from a Mixture of Linear Measurements. NeurIPS Soumyabrata Pal, Arya Mazumdar, Venkata Gandikota
2021	J	`jnl`	Support Recovery of Sparse Signals from a Mixture of Linear Measurements. CoRR Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal
2021	J	`jnl`	Trace Reconstruction: Generalized and Parameterized. IEEE Trans. Inf. Theory Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
2021	A	`conf`	vqSGD: Vector Quantized Stochastic Gradient Descent. AISTATS Venkata Gandikota, Daniel Kane, Raj Kumar Maity, Arya Mazumdar
2020	J	`jnl`	A workload-adaptive mechanism for linear queries under local differential privacy. CoRR Ryan McKenna, Raj Kumar Maity, Arya Mazumdar, Gerome Miklau
2020	J	`jnl`	A workload-adaptive mechanism for linear queries under local differential privacy. Proc. VLDB Endow. Ryan McKenna, Raj Kumar Maity, Arya Mazumdar, Gerome Miklau
2020	B	`conf`	Algebraic and Analytic Approaches for Parameter Learning in Mixture Models. ALT Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
2020	J	`jnl`	Algebraic and Analytic Approaches for Parameter Learning in Mixture Models. CoRR Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
2020	B	`conf`	Communication Efficient Distributed Approximate Newton Method. ISIT Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran
2020	B	`conf`	Communication Efficient and Byzantine Tolerant Distributed Learning. ISIT Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
2020	Misc	`conf`	Communication-Efficient and Byzantine-Robust Distributed Learning. ITA Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
2020	A*	`conf`	Distributed Newton Can Communicate Less and Resist Byzantine Workers. NeurIPS Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
2020	J	`jnl`	Distributed Newton Can Communicate Less and Resist Byzantine Workers. CoRR Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar
2020	A	`conf`	High Dimensional Discrete Integration over the Hypergrid. UAI Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal
2020	A*	`conf`	Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping. NeurIPS Shashanka Ubaru, Sanjeeb Dash, Arya Mazumdar, Oktay Günlük
2020	J	`jnl`	Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping. CoRR Shashanka Ubaru, Sanjeeb Dash, Arya Mazumdar, Oktay Günlük
2020	A*	`conf`	Recovery of Sparse Signals from a Mixture of Linear Samples. ICML Soumyabrata Pal, Arya Mazumdar
2020	J	`jnl`	Recovery of Sparse Signals from a Mixture of Linear Samples. CoRR Arya Mazumdar, Soumyabrata Pal
2020	A*	`conf`	Recovery of sparse linear classifiers from mixture of responses. NeurIPS Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal
2020	J	`jnl`	Recovery of sparse linear classifiers from mixture of responses. CoRR Venkata Gandikota, Arya Mazumdar, Soumyabrata Pal
2020	B	`conf`	Reliable Distributed Clustering with Redundant Data Assignment. ISIT Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat
2020	J	`jnl`	Reliable Distributed Clustering with Redundant Data Assignment. CoRR Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat
2020	J	`jnl`	Session-Aware Query Auto-completion using Extreme Multi-label Ranking. CoRR Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon
2019	J	`jnl`	Communication-Efficient and Byzantine-Robust Distributed Learning. CoRR Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
2019	—	`conf`	Connectivity of Random Annulus Graphs and the Geometric Block Model. APPROX-RANDOM Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
2019	—	`conf`	Learning and Recovery in the ReLU Model. Allerton Arya Mazumdar, Ankit Singh Rawat
2019	J	`jnl`	Linear Programming Approximations for Index Coding. IEEE Trans. Inf. Theory Abhishek Agarwal, Larkin Flodin, Arya Mazumdar
2019	B	`conf`	Robust Gradient Descent via Moment Encoding and LDPC Codes. ISIT Raj Kumar Maity, Ankit Singh Rawat, Arya Mazumdar
2019	A*	`conf`	Same-Cluster Querying for Overlapping Clusters. NeurIPS Wasim Huleihel, Arya Mazumdar, Muriel Médard, Soumyabrata Pal
2019	J	`jnl`	Same-Cluster Querying for Overlapping Clusters. CoRR Wasim Huleihel, Arya Mazumdar, Muriel Médard, Soumyabrata Pal
2019	A*	`conf`	Sample Complexity of Learning Mixture of Sparse Linear Regressions. NeurIPS Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
2019	J	`jnl`	Sample Complexity of Learning Mixtures of Sparse Linear Regressions. CoRR Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
2019	J	`jnl`	Semisupervised Clustering by Queries and Locally Encodable Source Coding. CoRR Arya Mazumdar, Soumyabrata Pal
2019	J	`jnl`	Storage Capacity as an Information-Theoretic Vertex Cover and the Index Coding Rate. IEEE Trans. Inf. Theory Arya Mazumdar, Andrew McGregor, Sofya Vorotnikova
2019	A*	`conf`	Superset Technique for Approximate Recovery in One-Bit Compressed Sensing. NeurIPS Larkin Flodin, Venkata Gandikota, Arya Mazumdar
2019	J	`jnl`	Superset Technique for Approximate Recovery in One-Bit Compressed Sensing. CoRR Larkin Flodin, Venkata Gandikota, Arya Mazumdar
2019	A	`conf`	Trace Reconstruction: Generalized and Parameterized. ESA Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
2019	J	`jnl`	Trace Reconstruction: Generalized and Parameterized. CoRR Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal
2019	J	`jnl`	vqSGD: Vector Quantized Stochastic Gradient Descent. CoRR Venkata Gandikota, Raj Kumar Maity, Arya Mazumdar
2018	B	`conf`	Capacity of Locally Recoverable Codes. ITW Arya Mazumdar
2018	J	`jnl`	Capacity of Locally Recoverable Codes. CoRR Arya Mazumdar
2018	J	`jnl`	Coding Theory for Inference, Learning and Optimization (Dagstuhl Seminar 18112). Dagstuhl Reports Po-Ling Loh, Arya Mazumdar, Dimitris S. Papailiopoulos, Rüdiger L. Urbanke
2018	J	`jnl`	Combinatorial Alphabet-Dependent Bounds for Locally Recoverable Codes. IEEE Trans. Inf. Theory Abhishek Agarwal, Alexander Barg, Sihuang Hu, Arya Mazumdar, Itzhak Tamo
2018	J	`jnl`	Connectivity in Random Annulus Graphs and the Geometric Block Model. CoRR Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
2018	J	`jnl`	High Dimensional Discrete Integration by Hashing and Optimization. CoRR Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal
2018	J	`jnl`	Linear Programming Approximations for Index Coding. CoRR Abhishek Agarwal, Larkin Flodin, Arya Mazumdar
2018	B	`conf`	Novel Impossibility Results for Group-Testing. ISIT Abhishek Agarwal, Sidharth Jaggi, Arya Mazumdar
2018	J	`jnl`	Novel Impossibility Results for Group-Testing. CoRR Abhishek Agarwal, Sidharth Jaggi, Arya Mazumdar
2018	J	`jnl`	Representation Learning and Recovery in the ReLU Model. CoRR Arya Mazumdar, Ankit Singh Rawat
2018	J	`jnl`	Robust Gradient Descent via Moment Encoding with LDPC Codes. CoRR Raj Kumar Maity, Ankit Singh Rawat, Arya Mazumdar
2018	—	`conf`	The Geometric Block Model and Applications. Allerton Sainyam Galhotra, Soumyabrata Pal, Arya Mazumdar, Barna Saha
2018	A*	`conf`	The Geometric Block Model. AAAI Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
2017	A*	`conf`	A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution. AAAI Arya Mazumdar, Barna Saha
2017	J	`jnl`	A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution. CoRR Arya Mazumdar, Barna Saha
2017	A*	`conf`	Associative Memory Using Dictionary Learning and Expander Decoding. AAAI Arya Mazumdar, Ankit Singh Rawat
2017	—	`conf`	Clustering with Noisy Queries. NIPS Arya Mazumdar, Barna Saha
2017	J	`jnl`	Clustering with Noisy Queries. CoRR Arya Mazumdar, Barna Saha
2017	J	`jnl`	Combinatorial Alphabet-Dependent Bounds for Locally Recoverable Codes. CoRR Abhishek Agarwal, Alexander Barg, Sihuang Hu, Arya Mazumdar, Itzhak Tamo
2017	A*	`conf`	Compressive Traffic Analysis: A New Paradigm for Scalable Traffic Analysis. CCS Milad Nasr, Amir Houmansadr, Arya Mazumdar
2017	A	`conf`	Efficient Rank Aggregation via Lehmer Codes. AISTATS Pan Li, Arya Mazumdar, Olgica Milenkovic
2017	J	`jnl`	Efficient Rank Aggregation via Lehmer Codes. CoRR Pan Li, Arya Mazumdar, Olgica Milenkovic
2017	J	`jnl`	Estimation of Sparsity via Simple Measurements. CoRR Abhishek Agarwal, Larkin Flodin, Arya Mazumdar
2017	B	`conf`	Estimation of sparsity via simple measurements. ISIT Abhishek Agarwal, Larkin Flodin, Arya Mazumdar
2017	J	`jnl`	Group Testing Schemes From Codes and Designs. IEEE Trans. Inf. Theory Alexander Barg, Arya Mazumdar
2017	J	`jnl`	Low Rank Approximation and Decomposition of Large Matrices Using Error Correcting Codes. IEEE Trans. Inf. Theory Shashanka Ubaru, Arya Mazumdar, Yousef Saad
2017	A*	`conf`	Multilabel Classification with Group Testing and Codes. ICML Shashanka Ubaru, Arya Mazumdar
2017	—	`conf`	Query Complexity of Clustering with Side Information. NIPS Arya Mazumdar, Barna Saha
2017	J	`jnl`	Query Complexity of Clustering with Side Information. CoRR Arya Mazumdar, Barna Saha
2017	—	`conf`	Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding. NIPS Arya Mazumdar, Soumyabrata Pal
2017	J	`jnl`	Storage Capacity as an Information-Theoretic Analogue of Vertex Cover. CoRR Arya Mazumdar, Andrew McGregor, Sofya Vorotnikova
2017	B	`conf`	Storage capacity as an information-theoretic analogue of vertex cover. ISIT Arya Mazumdar, Andrew McGregor, Sofya Vorotnikova
2017	J	`jnl`	The Geometric Block Model. CoRR Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha
2016	J	`jnl`	Associative Memory using Dictionary Learning and Expander Decoding. CoRR Arya Mazumdar, Ankit Singh Rawat
2016	J	`jnl`	Bounds on the Rate of Linear Locally Repairable Codes over Small Alphabets. CoRR Abhishek Agarwal, Arya Mazumdar
2016	—	`conf`	Bounds on the rate of linear locally repairable codes over small alphabets. Allerton Abhishek Agarwal, Arya Mazumdar
2016	J	`jnl`	Clustering Via Crowdsourcing. CoRR Arya Mazumdar, Barna Saha
2016	—	`conf`	Clustering with an oracle. Allerton Arya Mazumdar, Barna Saha
2016	B	`conf`	Distance preserving maps and combinatorial joint source-channel coding for large alphabets. ISIT Arya Mazumdar, Yury Polyanskiy, Ankit Singh Rawat, Hajir Roozbehani
2016	B	`conf`	Group testing schemes from low-weight codewords of BCH codes. ISIT Shashanka Ubaru, Arya Mazumdar, Alexander Barg
2016	B	`conf`	Hamming codes as error-reducing codes. ITW William Rurik, Arya Mazumdar
2016	—	`conf`	Index coding and local partial clique covers. SPCOM Abhishek Agarwal, Arya Mazumdar
2016	J	`jnl`	Local Partial Clique Covers for Index Coding. CoRR Abhishek Agarwal, Arya Mazumdar
2016	—	`conf`	Local Partial Clique and Cycle Covers for Index Coding. GLOBECOM Workshops Abhishek Agarwal, Arya Mazumdar
2016	J	`jnl`	Nonadaptive Group Testing With Random Set of Defectives. IEEE Trans. Inf. Theory Arya Mazumdar
2016	J	`jnl`	Security in Locally Repairable Storage. IEEE Trans. Inf. Theory Abhishek Agarwal, Arya Mazumdar
2015	J	`jnl`	Almost disjunct matrices from codes and designs. CoRR Alexander Barg, Arya Mazumdar
2015	—	`conf`	Alphabet-size dependent bounds for exact repair in distributed storage. ITW Fall Viveck R. Cadambe, Arya Mazumdar
2015	—	`conf`	Associative Memory via a Sparse Recovery Model. NIPS Arya Mazumdar, Ankit Singh Rawat
2015	J	`jnl`	Bounds on the Size of Locally Recoverable Codes. IEEE Trans. Inf. Theory Viveck R. Cadambe, Arya Mazumdar
2015	J	`jnl`	Compression in the Space of Permutations. IEEE Trans. Inf. Theory Da Wang, Arya Mazumdar, Gregory W. Wornell
2015	J	`jnl`	Cooperative local repair in distributed storage. EURASIP J. Adv. Signal Process. Ankit Singh Rawat, Arya Mazumdar, Sriram Vishwanath
2015	B	`conf`	Local recovery in data compression for general sources. ISIT Arya Mazumdar, Venkat Chandar, Gregory W. Wornell
2015	A*	`conf`	Low Rank Approximation using Error Correcting Coding Matrices. ICML Shashanka Ubaru, Arya Mazumdar, Yousef Saad
2015	J	`jnl`	Low rank approximation and decomposition of large matrices using error correcting codes. CoRR Shashanka Ubaru, Arya Mazumdar, Yousef Saad
2015	J	`jnl`	Nonadaptive group testing with random set of defectives via constant-weight codes. CoRR Arya Mazumdar
2015	B	`conf`	On adversarial joint source channel coding. ISIT Arya Mazumdar, Ankit Singh Rawat
2015	J	`jnl`	Restricted Isometry Property of Random Subdictionaries. IEEE Trans. Inf. Theory Alexander Barg, Arya Mazumdar, Rongrong Wang
2015	J	`jnl`	Restricted isometry property of random subdictionaries. CoRR Alexander Barg, Arya Mazumdar, Rongrong Wang
2015	J	`jnl`	Security in Locally Repairable Storage. CoRR Abhishek Agarwal, Arya Mazumdar
2015	B	`conf`	Security in locally repairable storage. ITW Abhishek Agarwal, Arya Mazumdar
2015	J	`jnl`	Storage Capacity of Repairable Networks. IEEE Trans. Inf. Theory Arya Mazumdar
2014	—	`conf`	Achievable schemes and limits for local recovery on a graph. Allerton Arya Mazumdar
2014	J	`jnl`	Compression in the Space of Permutations. CoRR Da Wang, Arya Mazumdar, Gregory W. Wornell
2014	J	`jnl`	Cooperative Local Repair in Distributed Storage. CoRR Ankit Singh Rawat, Arya Mazumdar, Sriram Vishwanath
2014	—	`conf`	Group testing with unreliable elements. Allerton Arya Mazumdar, Soheil Mohajer
2014	B	`conf`	Lossy compression of permutations. ISIT Da Wang, Arya Mazumdar, Gregory W. Wornell
2014	J	`jnl`	On a Duality Between Recoverable Distributed Storage and Index Coding. CoRR Arya Mazumdar
2014	B	`conf`	On a duality between recoverable distributed storage and index coding. ISIT Arya Mazumdar
2014	Misc	`conf`	On cooperative local repair in distributed storage. CISS Ankit Singh Rawat, Arya Mazumdar, Sriram Vishwanath
2014	J	`jnl`	On the Capacity of Memoryless Adversary. CoRR Arya Mazumdar
2014	B	`conf`	On the capacity of memoryless adversary. ISIT Arya Mazumdar
2014	J	`jnl`	Review of Classic Papers in Combinatorics Edited by Ira Gessel and Gian-Carlo Rota. SIGACT News Arya Mazumdar
2014	Misc	`conf`	Smooth representation of rankings. CISS Arya Mazumdar, Olgica Milenkovic
2014	J	`jnl`	Storage Capacity of Repairable Networks. CoRR Arya Mazumdar
2014	J	`jnl`	Update-Efficiency and Local Repairability Limits for Capacity Approaching Codes. IEEE J. Sel. Areas Commun. Arya Mazumdar, Venkat Chandar, Gregory W. Wornell
2013	B	`conf`	A rate-distortion theory for permutation spaces. ISIT Da Wang, Arya Mazumdar, Gregory W. Wornell
2013	J	`jnl`	An Upper Bound On the Size of Locally Recoverable Codes. CoRR Viveck R. Cadambe, Arya Mazumdar
2013	—	`conf`	An upper bound on the size of locally recoverable codes. NetCod Viveck R. Cadambe, Arya Mazumdar
2013	J	`jnl`	Constructions of Rank Modulation Codes. IEEE Trans. Inf. Theory Arya Mazumdar, Alexander Barg, Gilles Zémor
2013	Misc	`conf`	Local recovery properties of capacity achieving codes. ITA Arya Mazumdar, Venkat Chandar, Gregory W. Wornell
2013	B	`conf`	On Chebyshev radius of a set in Hamming space and the closest string problem. ISIT Arya Mazumdar, Yury Polyanskiy, Barna Saha
2013	J	`jnl`	Random Subdictionaries and Coherence Conditions for Sparse Signal Recovery CoRR Alexander Barg, Arya Mazumdar, Rongrong Wang
2013	J	`jnl`	Update Efficiency and Local Repairability Limits for Capacity Approaching Codes CoRR Arya Mazumdar, Venkat Chandar, Gregory W. Wornell
2012	—	`conf`	Covering arbitrary point patterns. Allerton Conference Arya Mazumdar, Ligong Wang
2012	B	`conf`	On Almost Disjunct Matrices for Group Testing. ISAAC Arya Mazumdar
2012	B	`conf`	Results on combinatorial joint source-channel coding. ITW Yuval Kochman, Arya Mazumdar, Yury Polyanskiy
2012	B	`conf`	The adversarial joint source-channel problem. ISIT Yuval Kochman, Arya Mazumdar, Yury Polyanskiy
2012	B	`conf`	Update efficient codes for error correction. ISIT Arya Mazumdar, Gregory W. Wornell, Venkat Chandar
2011	B	`conf`	Channels with intermittent errors. ISIT Arya Mazumdar, Alexander Barg
2011	J	`jnl`	Coding for High-Density Recording on a 1-D Granular Magnetic Medium. IEEE Trans. Inf. Theory Arya Mazumdar, Alexander Barg, Navin Kashyap
2011	—	`—`	Combinatorial Methods in Coding Theory. Arya Mazumdar
2011	J	`jnl`	Constructions of Rank Modulation Codes CoRR Arya Mazumdar, Alexander Barg, Gilles Zémor
2011	B	`conf`	Constructions of rank modulation codes. ISIT Arya Mazumdar, Alexander Barg, Gilles Zémor
2011	J	`jnl`	Explicit Group Testing Scheme that Identifies Almost All Defective Configurations CoRR Arya Mazumdar
2011	B	`conf`	General constructions of deterministic (S)RIP matrices for compressive sampling. ISIT Arya Mazumdar, Alexander Barg
2011	J	`jnl`	On the Number of Errors Correctable with Codes on Graphs. IEEE Trans. Inf. Theory Alexander Barg, Arya Mazumdar
2011	—	`conf`	Parameters of rank modulation codes: Examples. Allerton Arya Mazumdar, Alexander Barg, Gilles Zémor
2011	—	`conf`	Sparse recovery properties of statistical RIP matrices. Allerton Arya Mazumdar, Alexander Barg
2010	B	`conf`	Codes in permutations and error correction for rank modulation. ISIT Alexander Barg, Arya Mazumdar
2010	J	`jnl`	Codes in permutations and error correction for rank modulation. IEEE Trans. Inf. Theory Alexander Barg, Arya Mazumdar
2010	J	`jnl`	Coding for High-Density Recording on a 1-D Granular Magnetic Medium CoRR Arya Mazumdar, Alexander Barg, Navin Kashyap
2010	B	`conf`	Coding for high-density magnetic recording. ISIT Arya Mazumdar, Alexander Barg, Navin Kashyap
2010	J	`jnl`	On linear balancing sets. Adv. Math. Commun. Arya Mazumdar, Ron M. Roth, Pascal O. Vontobel
2010	—	`conf`	On the capacity of high-density recording on a 1-D granular magnetic medium. Allerton Arya Mazumdar, Alexander Barg, Navin Kashyap
2010	B	`conf`	Small ensembles of sampling matrices constructed from coding theory. ISIT Alexander Barg, Arya Mazumdar
2009	J	`jnl`	Codes in Permutations and Error Correction for Rank Modulation CoRR Alexander Barg, Arya Mazumdar
2009	J	`jnl`	On linear balancing sets CoRR Arya Mazumdar, Ron M. Roth, Pascal O. Vontobel
2009	B	`conf`	On linear balancing sets. ISIT Arya Mazumdar, Ron M. Roth, Pascal O. Vontobel
2009	J	`jnl`	On the Number of Errors Correctable with Codes on Graphs CoRR Alexander Barg, Arya Mazumdar
2009	B	`conf`	On the number of errors correctable with codes on graphs. ISIT Alexander Barg, Arya Mazumdar
2008	J	`jnl`	Codes on hypergraphs CoRR Alexander Barg, Arya Mazumdar, Gilles Zémor
2008	J	`jnl`	Weight distribution and decoding of codes on hypergraphs. Adv. Math. Commun. Alexander Barg, Arya Mazumdar, Gilles Zémor
2008	—	`conf`	Weight distribution of codes on hypergraphs. Allerton Alexander Barg, Arya Mazumdar, Gilles Zémor
2006	J	`jnl`	Construction of turbo code interleaves from 3-regular Hamiltonian graphs. IEEE Commun. Lett. Arya Mazumdar, Ajit Kumar Chaturvedi, Adrish Banerjee
2005	J	`jnl`	Construction of Turbo Code Interleavers from 3-Regular Hamiltonian Graphs CoRR Arya Mazumdar, Ajit Kumar Chaturvedi, Adrish Banerjee
2005	J	`jnl`	On the Spread of Random Interleaver CoRR Arya Mazumdar, Adrish Banerjee, Ajit Kumar Chaturvedi
2005	B	`conf`	On the spread of random interleavers. ISIT Arya Mazumdar, Adrish Banerjee, Ajit Kumar Chaturvedi