Arya Mazumdar

Orcid: 0000-0003-4605-7996

According to our database1, Arya Mazumdar authored at least 138 papers between 2005 and 2024.

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Bibliography

2024
Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing.
J. ACM, October, 2024

Competing Bandits in Non-Stationary Matching Markets.
IEEE Trans. Inf. Theory, April, 2024

Improved Support Recovery in Universal 1-bit Compressed Sensing.
IEEE Trans. Inf. Theory, February, 2024

An Improved Federated Clustering Algorithm with Model-based Clustering.
Trans. Mach. Learn. Res., 2024

Random Subgraph Detection Using Queries.
J. Mach. Learn. Res., 2024

Clustering with Non-adaptive Subset Queries.
CoRR, 2024

Transfer Learning for Latent Variable Network Models.
CoRR, 2024

The TILOS AI Institute: Integrating optimization and AI for chip design, networks, and robotics.
AI Mag., 2024

Robust 1-bit Compressed Sensing with Iterative Hard Thresholding.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

DIST-CURE: A Robust Distributed Learning Algorithm with Cubic Regularized Newton.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Distributed Local Sketching for £2 Embeddings.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the sample complexity of parameter estimation in logistic regression with normal design.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
Capacity of Locally Recoverable Codes.
IEEE J. Sel. Areas Inf. Theory, 2023

Community Recovery in the Geometric Block Model.
J. Mach. Learn. Res., 2023

On the sample complexity of estimation in logistic regression.
CoRR, 2023

Optimization using Parallel Gradient Evaluations on Multiple Parameters.
CoRR, 2023

Optimal Compression of Unit Norm Vectors in the High Distortion Regime.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks.
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

2022
vqSGD: Vector Quantized Stochastic Gradient Descent.
IEEE Trans. Inf. Theory, 2022

Improved Support Recovery in Universal One-bit Compressed Sensing.
CoRR, 2022

An Improved Algorithm for Clustered Federated Learning.
CoRR, 2022

Decentralized Competing Bandits in Non-Stationary Matching Markets.
CoRR, 2022

Support Recovery in Universal One-Bit Compressed Sensing.
Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

On Learning Mixture of Linear Regressions in the Non-Realizable Setting.
Proceedings of the International Conference on Machine Learning, 2022

Lower Bounds on the Total Variation Distance Between Mixtures of Two Gaussians.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

On Learning Mixture Models with Sparse Parameters.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Semisupervised Clustering by Queries and Locally Encodable Source Coding.
IEEE Trans. Inf. Theory, 2021

Trace Reconstruction: Generalized and Parameterized.
IEEE Trans. Inf. Theory, 2021

Communication-Efficient and Byzantine-Robust Distributed Learning With Error Feedback.
IEEE J. Sel. Areas Inf. Theory, 2021

Escaping Saddle Points in Distributed Newton's Method with Communication efficiency and Byzantine Resilience.
CoRR, 2021

Support Recovery of Sparse Signals from a Mixture of Linear Measurements.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fuzzy Clustering with Similarity Queries.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Session-Aware Query Auto-completion using Extreme Multi-Label Ranking.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Probabilistic Group Testing with a Linear Number of Tests.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Byzantine Resilient Distributed Clustering with Redundant Data Assignment.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
A workload-adaptive mechanism for linear queries under local differential privacy.
Proc. VLDB Endow., 2020

High Dimensional Discrete Integration over the Hypergrid.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Distributed Newton Can Communicate Less and Resist Byzantine Workers.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Recovery of sparse linear classifiers from mixture of responses.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Communication-Efficient and Byzantine-Robust Distributed Learning.
Proceedings of the Information Theory and Applications Workshop, 2020

Communication Efficient Distributed Approximate Newton Method.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Communication Efficient and Byzantine Tolerant Distributed Learning.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Reliable Distributed Clustering with Redundant Data Assignment.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Recovery of Sparse Signals from a Mixture of Linear Samples.
Proceedings of the 37th International Conference on Machine Learning, 2020

Algebraic and Analytic Approaches for Parameter Learning in Mixture Models.
Proceedings of the Algorithmic Learning Theory, 2020

2019
Storage Capacity as an Information-Theoretic Vertex Cover and the Index Coding Rate.
IEEE Trans. Inf. Theory, 2019

Linear Programming Approximations for Index Coding.
IEEE Trans. Inf. Theory, 2019

vqSGD: Vector Quantized Stochastic Gradient Descent.
CoRR, 2019

Sample Complexity of Learning Mixtures of Sparse Linear Regressions.
CoRR, 2019

Sample Complexity of Learning Mixture of Sparse Linear Regressions.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Same-Cluster Querying for Overlapping Clusters.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Superset Technique for Approximate Recovery in One-Bit Compressed Sensing.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Robust Gradient Descent via Moment Encoding and LDPC Codes.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Connectivity of Random Annulus Graphs and the Geometric Block Model.
Proceedings of the Approximation, 2019

Learning and Recovery in the ReLU Model.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
Combinatorial Alphabet-Dependent Bounds for Locally Recoverable Codes.
IEEE Trans. Inf. Theory, 2018

Coding Theory for Inference, Learning and Optimization (Dagstuhl Seminar 18112).
Dagstuhl Reports, 2018

High Dimensional Discrete Integration by Hashing and Optimization.
CoRR, 2018

Robust Gradient Descent via Moment Encoding with LDPC Codes.
CoRR, 2018

Representation Learning and Recovery in the ReLU Model.
CoRR, 2018

Novel Impossibility Results for Group-Testing.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

The Geometric Block Model and Applications.
Proceedings of the 56th Annual Allerton Conference on Communication, 2018

The Geometric Block Model.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Low Rank Approximation and Decomposition of Large Matrices Using Error Correcting Codes.
IEEE Trans. Inf. Theory, 2017

Group Testing Schemes From Codes and Designs.
IEEE Trans. Inf. Theory, 2017

Clustering with Noisy Queries.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Query Complexity of Clustering with Side Information.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Storage capacity as an information-theoretic analogue of vertex cover.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Estimation of sparsity via simple measurements.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Multilabel Classification with Group Testing and Codes.
Proceedings of the 34th International Conference on Machine Learning, 2017

Compressive Traffic Analysis: A New Paradigm for Scalable Traffic Analysis.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

Efficient Rank Aggregation via Lehmer Codes.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Associative Memory Using Dictionary Learning and Expander Decoding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Nonadaptive Group Testing With Random Set of Defectives.
IEEE Trans. Inf. Theory, 2016

Security in Locally Repairable Storage.
IEEE Trans. Inf. Theory, 2016

Clustering Via Crowdsourcing.
CoRR, 2016

Local Partial Clique Covers for Index Coding.
CoRR, 2016

Hamming codes as error-reducing codes.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

Group testing schemes from low-weight codewords of BCH codes.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Distance preserving maps and combinatorial joint source-channel coding for large alphabets.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Local Partial Clique and Cycle Covers for Index Coding.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

Clustering with an oracle.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

Bounds on the rate of linear locally repairable codes over small alphabets.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Compression in the Space of Permutations.
IEEE Trans. Inf. Theory, 2015

Storage Capacity of Repairable Networks.
IEEE Trans. Inf. Theory, 2015

Bounds on the Size of Locally Recoverable Codes.
IEEE Trans. Inf. Theory, 2015

Restricted Isometry Property of Random Subdictionaries.
IEEE Trans. Inf. Theory, 2015

Cooperative local repair in distributed storage.
EURASIP J. Adv. Signal Process., 2015

Nonadaptive group testing with random set of defectives via constant-weight codes.
CoRR, 2015

Almost disjunct matrices from codes and designs.
CoRR, 2015

Associative Memory via a Sparse Recovery Model.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Alphabet-size dependent bounds for exact repair in distributed storage.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

On adversarial joint source channel coding.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Local recovery in data compression for general sources.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Low Rank Approximation using Error Correcting Coding Matrices.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Review of Classic Papers in Combinatorics Edited by Ira Gessel and Gian-Carlo Rota.
SIGACT News, 2014

Update-Efficiency and Local Repairability Limits for Capacity Approaching Codes.
IEEE J. Sel. Areas Commun., 2014

Lossy compression of permutations.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

On the capacity of memoryless adversary.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

On a duality between recoverable distributed storage and index coding.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Smooth representation of rankings.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

Group testing with unreliable elements.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

Achievable schemes and limits for local recovery on a graph.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Constructions of Rank Modulation Codes.
IEEE Trans. Inf. Theory, 2013

Random Subdictionaries and Coherence Conditions for Sparse Signal Recovery
CoRR, 2013

An upper bound on the size of locally recoverable codes.
Proceedings of the International Symposium on Network Coding, 2013

Local recovery properties of capacity achieving codes.
Proceedings of the 2013 Information Theory and Applications Workshop, 2013

A rate-distortion theory for permutation spaces.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

On Chebyshev radius of a set in Hamming space and the closest string problem.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012
Results on combinatorial joint source-channel coding.
Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Update efficient codes for error correction.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

The adversarial joint source-channel problem.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

On Almost Disjunct Matrices for Group Testing.
Proceedings of the Algorithms and Computation - 23rd International Symposium, 2012

Covering arbitrary point patterns.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Combinatorial Methods in Coding Theory.
PhD thesis, 2011

Coding for High-Density Recording on a 1-D Granular Magnetic Medium.
IEEE Trans. Inf. Theory, 2011

On the Number of Errors Correctable with Codes on Graphs.
IEEE Trans. Inf. Theory, 2011

Explicit Group Testing Scheme that Identifies Almost All Defective Configurations
CoRR, 2011

Channels with intermittent errors.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

General constructions of deterministic (S)RIP matrices for compressive sampling.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Parameters of rank modulation codes: Examples.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Sparse recovery properties of statistical RIP matrices.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Codes in permutations and error correction for rank modulation.
IEEE Trans. Inf. Theory, 2010

On linear balancing sets.
Adv. Math. Commun., 2010

Coding for high-density magnetic recording.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Small ensembles of sampling matrices constructed from coding theory.
Proceedings of the IEEE International Symposium on Information Theory, 2010

On the capacity of high-density recording on a 1-D granular magnetic medium.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2008
Codes on hypergraphs
CoRR, 2008

Weight distribution and decoding of codes on hypergraphs.
Adv. Math. Commun., 2008

Weight distribution of codes on hypergraphs.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2006
Construction of turbo code interleaves from 3-regular Hamiltonian graphs.
IEEE Commun. Lett., 2006

2005
Construction of Turbo Code Interleavers from 3-Regular Hamiltonian Graphs
CoRR, 2005

On the Spread of Random Interleaver
CoRR, 2005

On the spread of random interleavers.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005


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