| 2026 | COLT | Actively Learning Halfspaces without Synthetic Data. | Hadley Black, Kasper Green Larsen, Arya Mazumdar, Barna Saha, Geelon So |
| 2026 | ISIT | The Noisy Quantitative Group Testing Problem. | Tenghao Li, Xiaxin Li, Neha Sangwan, Arya Mazumdar |
| 2025 | COLT | Learning Partitions with Optimal Query and Round Complexities. | Hadley Black, Arya Mazumdar, Barna Saha |
| 2025 | COLT | Optimal Graph Reconstruction by Counting Connected Components in Induced Subgraphs. | Hadley Black, Arya Mazumdar, Barna Saha, Yinzhan Xu |
| 2025 | COLT | Learning sparse generalized linear models with binary outcomes via iterative hard thresholding. | Namiko Matsumoto, Arya Mazumdar |
| 2025 | ICLR | Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods. | Hossein Taheri, Christos Thrampoulidis, Arya Mazumdar |
| 2025 | ICML | Optimal Transfer Learning for Missing Not-at-Random Matrix Completion. | Akhil Jalan, Yassir Jedra, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar |
| 2025 | ICML | Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements. | Arya Mazumdar, Neha Sangwan |
| 2025 | ISIT | Noisy Nonadaptive Group Testing with Binary Splitting: New Test Design and Improvement on Price-Scarlett-Tan's Scheme. | Xiaxin Li, Arya Mazumdar |
| 2025 | ISIT | Learning and Generalization with Mixture Data. | Harsh Vardhan, Avishek Ghosh, Arya Mazumdar |
| 2024 | COLT | On the sample complexity of parameter estimation in logistic regression with normal design. | Daniel Hsu, Arya Mazumdar |
| 2024 | ICML | Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms. | Avishek Ghosh, Arya Mazumdar |
| 2024 | ISIT | Distributed Local Sketching for £2 Embeddings. | Neophytos Charalambides, Arya Mazumdar |
| 2024 | ISIT | DIST-CURE: A Robust Distributed Learning Algorithm with Cubic Regularized Newton. | Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar |
| 2024 | SODA | Robust 1-bit Compressed Sensing with Iterative Hard Thresholding. | Namiko Matsumoto, Arya Mazumdar |
| 2023 | ISIT | Optimal Compression of Unit Norm Vectors in the High Distortion Regime. | Heng Zhu, Avishek Ghosh, Arya Mazumdar |
| 2022 | AISTATS | On Learning Mixture Models with Sparse Parameters. | Soumyabrata Pal, Arya Mazumdar |
| 2022 | ALT | Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians. | Sami Davies, Arya Mazumdar, Soumyabrata Pal, Cyrus Rashtchian |
| 2022 | FOCS | Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing. | Namiko Matsumoto, Arya Mazumdar |
| 2022 | ICML | On Learning Mixture of Linear Regressions in the Non-Realizable Setting. | Soumyabrata Pal, Arya Mazumdar, Rajat Sen, Avishek Ghosh |
| 2021 | AISTATS | vqSGD: Vector Quantized Stochastic Gradient Descent. | Venkata Gandikota, Daniel Kane, Raj Kumar Maity, Arya Mazumdar |
| 2021 | ISIT | Byzantine Resilient Distributed Clustering with Redundant Data Assignment. | Saikiran Bulusu, Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat, Pramod K. Varshney |
| 2021 | ISIT | Probabilistic Group Testing with a Linear Number of Tests. | Larkin Flodin, Arya Mazumdar |
| 2021 | KDD | Session-Aware Query Auto-completion using Extreme Multi-Label Ranking. | Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon |
| 2020 | ALT | Algebraic and Analytic Approaches for Parameter Learning in Mixture Models. | Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal |
| 2020 | ICML | Recovery of Sparse Signals from a Mixture of Linear Samples. | Soumyabrata Pal, Arya Mazumdar |
| 2020 | ISIT | Reliable Distributed Clustering with Redundant Data Assignment. | Venkata Gandikota, Arya Mazumdar, Ankit Singh Rawat |
| 2020 | ISIT | Communication Efficient and Byzantine Tolerant Distributed Learning. | Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran |
| 2020 | ISIT | Communication Efficient Distributed Approximate Newton Method. | Avishek Ghosh, Raj Kumar Maity, Arya Mazumdar, Kannan Ramchandran |
| 2020 | ITA | Communication-Efficient and Byzantine-Robust Distributed Learning. | Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran |
| 2020 | UAI | High Dimensional Discrete Integration over the Hypergrid. | Raj Kumar Maity, Arya Mazumdar, Soumyabrata Pal |
| 2019 | ESA | Trace Reconstruction: Generalized and Parameterized. | Akshay Krishnamurthy, Arya Mazumdar, Andrew McGregor, Soumyabrata Pal |
| 2019 | ISIT | Robust Gradient Descent via Moment Encoding and LDPC Codes. | Raj Kumar Maity, Ankit Singh Rawat, Arya Mazumdar |
| 2018 | AAAI | The Geometric Block Model. | Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal, Barna Saha |
| 2018 | ISIT | Novel Impossibility Results for Group-Testing. | Abhishek Agarwal, Sidharth Jaggi, Arya Mazumdar |
| 2018 | ITW | Capacity of Locally Recoverable Codes. | Arya Mazumdar |
| 2017 | AAAI | Associative Memory Using Dictionary Learning and Expander Decoding. | Arya Mazumdar, Ankit Singh Rawat |
| 2017 | AAAI | A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution. | Arya Mazumdar, Barna Saha |
| 2017 | AISTATS | Efficient Rank Aggregation via Lehmer Codes. | Pan Li, Arya Mazumdar, Olgica Milenkovic |
| 2017 | CCS | Compressive Traffic Analysis: A New Paradigm for Scalable Traffic Analysis. | Milad Nasr, Amir Houmansadr, Arya Mazumdar |
| 2017 | ICML | Multilabel Classification with Group Testing and Codes. | Shashanka Ubaru, Arya Mazumdar |
| 2017 | ISIT | Estimation of sparsity via simple measurements. | Abhishek Agarwal, Larkin Flodin, Arya Mazumdar |
| 2017 | ISIT | Storage capacity as an information-theoretic analogue of vertex cover. | Arya Mazumdar, Andrew McGregor, Sofya Vorotnikova |
| 2016 | GLOBECOM | Local Partial Clique and Cycle Covers for Index Coding. | Abhishek Agarwal, Arya Mazumdar |
| 2016 | ISIT | Distance preserving maps and combinatorial joint source-channel coding for large alphabets. | Arya Mazumdar, Yury Polyanskiy, Ankit Singh Rawat, Hajir Roozbehani |
| 2016 | ISIT | Group testing schemes from low-weight codewords of BCH codes. | Shashanka Ubaru, Arya Mazumdar, Alexander Barg |
| 2016 | ITW | Hamming codes as error-reducing codes. | William Rurik, Arya Mazumdar |
| 2015 | ICML | Low Rank Approximation using Error Correcting Coding Matrices. | Shashanka Ubaru, Arya Mazumdar, Yousef Saad |
| 2015 | ISIT | Local recovery in data compression for general sources. | Arya Mazumdar, Venkat Chandar, Gregory W. Wornell |
| 2015 | ISIT | On adversarial joint source channel coding. | Arya Mazumdar, Ankit Singh Rawat |
| 2015 | ITW | Security in locally repairable storage. | Abhishek Agarwal, Arya Mazumdar |
| 2015 | ITW | Alphabet-size dependent bounds for exact repair in distributed storage. | Viveck R. Cadambe, Arya Mazumdar |
| 2014 | CISS | Smooth representation of rankings. | Arya Mazumdar, Olgica Milenkovic |
| 2014 | CISS | On cooperative local repair in distributed storage. | Ankit Singh Rawat, Arya Mazumdar, Sriram Vishwanath |
| 2014 | ISIT | On a duality between recoverable distributed storage and index coding. | Arya Mazumdar |
| 2014 | ISIT | On the capacity of memoryless adversary. | Arya Mazumdar |
| 2014 | ISIT | Lossy compression of permutations. | Da Wang, Arya Mazumdar, Gregory W. Wornell |
| 2013 | ISIT | On Chebyshev radius of a set in Hamming space and the closest string problem. | Arya Mazumdar, Yury Polyanskiy, Barna Saha |
| 2013 | ISIT | A rate-distortion theory for permutation spaces. | Da Wang, Arya Mazumdar, Gregory W. Wornell |
| 2013 | ITA | Local recovery properties of capacity achieving codes. | Arya Mazumdar, Venkat Chandar, Gregory W. Wornell |
| 2012 | ISAAC | On Almost Disjunct Matrices for Group Testing. | Arya Mazumdar |
| 2012 | ISIT | The adversarial joint source-channel problem. | Yuval Kochman, Arya Mazumdar, Yury Polyanskiy |
| 2012 | ISIT | Update efficient codes for error correction. | Arya Mazumdar, Gregory W. Wornell, Venkat Chandar |
| 2012 | ITW | Results on combinatorial joint source-channel coding. | Yuval Kochman, Arya Mazumdar, Yury Polyanskiy |
| 2011 | ISIT | General constructions of deterministic (S)RIP matrices for compressive sampling. | Arya Mazumdar, Alexander Barg |
| 2011 | ISIT | Channels with intermittent errors. | Arya Mazumdar, Alexander Barg |
| 2011 | ISIT | Constructions of rank modulation codes. | Arya Mazumdar, Alexander Barg, Gilles Zmor |
| 2010 | ISIT | Codes in permutations and error correction for rank modulation. | Alexander Barg, Arya Mazumdar |
| 2010 | ISIT | Small ensembles of sampling matrices constructed from coding theory. | Alexander Barg, Arya Mazumdar |
| 2010 | ISIT | Coding for high-density magnetic recording. | Arya Mazumdar, Alexander Barg, Navin Kashyap |
| 2009 | ISIT | On the number of errors correctable with codes on graphs. | Alexander Barg, Arya Mazumdar |
| 2009 | ISIT | On linear balancing sets. | Arya Mazumdar, Ron M. Roth, Pascal O. Vontobel |
| 2005 | ISIT | On the spread of random interleavers. | Arya Mazumdar, Adrish Banerjee, Ajit Kumar Chaturvedi |