Combinatorial Group Testing and Sparse Recovery Schemes with Near-Optimal Decoding Time
暂无分享,去创建一个
[1] Piotr Indyk,et al. Simple and practical algorithm for sparse Fourier transform , 2012, SODA.
[2] Weili Wu,et al. On error-tolerant DNA screening , 2006, Discret. Appl. Math..
[3] Sidharth Jaggi,et al. Nearly optimal sparse group testing , 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[4] Anoosheh Heidarzadeh,et al. On Accelerated Testing for COVID-19 Using Group Testing , 2020, ArXiv.
[5] Arkadii G. D'yachkov,et al. A survey of superimposed code theory , 1983 .
[6] V. V. Rykov,et al. Superimposed distance codes , 1989 .
[7] Amin Karbasi,et al. Graph-Constrained Group Testing , 2010, IEEE Transactions on Information Theory.
[8] Noga Alon,et al. Optimal Monotone Encodings , 2008, IEEE Transactions on Information Theory.
[9] Moni Naor,et al. Deterministic History-Independent Strategies for Storing Information on Write-Once Memories , 2007, Theory Comput..
[10] Christos Tzamos,et al. Fast Modular Subset Sum using Linear Sketching , 2018, SODA.
[11] Salil P. Vadhan,et al. The unified theory of pseudorandomness , 2010 .
[12] Ely Porat,et al. Sublinear time, measurement-optimal, sparse recovery for all , 2012, SODA.
[13] Jack K. Wolf,et al. Born again group testing: Multiaccess communications , 1985, IEEE Trans. Inf. Theory.
[14] Mayank Bakshi,et al. Efficient Algorithms for Noisy Group Testing , 2017, IEEE Transactions on Information Theory.
[15] Vasileios Nakos,et al. Stronger L2/L2 compressed sensing; without iterating , 2019, STOC.
[16] Mikkel Thorup,et al. Heavy Hitters via Cluster-Preserving Clustering , 2016, 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS).
[17] Mary Wootters,et al. Unconstraining graph-constrained group testing , 2018, APPROX-RANDOM.
[18] Atri Rudra,et al. Efficiently Decodable Error-Correcting List Disjunct Matrices and Applications - (Extended Abstract) , 2011, ICALP.
[19] David P. Woodruff,et al. Beating CountSketch for heavy hitters in insertion streams , 2015, STOC.
[20] Vasileios Nakos,et al. On Fast Decoding of High-Dimensional Signals from One-Bit Measurements , 2016, ICALP.
[21] Vasileios Nakos,et al. Deterministic Heavy Hitters with Sublinear Query Time , 2017, APPROX-RANDOM.
[22] Ayfer Özgür,et al. On the Optimality of the Kautz-Singleton Construction in Probabilistic Group Testing , 2018, 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[23] David P. Woodruff,et al. On Low-Risk Heavy Hitters and Sparse Recovery Schemes , 2017, APPROX-RANDOM.
[24] Yin Tat Lee,et al. Solving tall dense linear programs in nearly linear time , 2020, STOC.
[25] Ely Porat,et al. Approximate sparse recovery: optimizing time and measurements , 2009, STOC '10.
[26] David P. Woodruff,et al. Nearly Optimal Distinct Elements and Heavy Hitters on Sliding Windows , 2018, APPROX-RANDOM.
[27] Krishna R. Narayanan,et al. Group Testing using left-and-right-regular sparse-graph codes , 2017, ArXiv.
[28] Piotr Indyk,et al. Sparse Recovery with Partial Support Knowledge , 2011, APPROX-RANDOM.
[29] D. Du,et al. Combinatorial Group Testing and Its Applications , 1993 .
[30] Andrei Z. Broder,et al. A Note on Double Pooling Tests , 2020, ArXiv.
[31] Piotr Indyk,et al. (Learned) Frequency Estimation Algorithms under Zipfian Distribution , 2019, ArXiv.
[32] Piotr Indyk,et al. Nearly Optimal Deterministic Algorithm for Sparse Walsh-Hadamard Transform , 2015, SODA.
[33] A. Macula. Probabilistic nonadaptive group testing in the presence of errors and DNA library screening , 1999 .
[34] David P. Woodruff,et al. Perfect Lp Sampling in a Data Stream , 2018, 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS).
[35] Graham Cormode,et al. An improved data stream summary: the count-min sketch and its applications , 2004, J. Algorithms.
[36] Mikhail Kapralov,et al. Sparse fourier transform in any constant dimension with nearly-optimal sample complexity in sublinear time , 2016, STOC.
[37] Venkatesan Guruswami,et al. Linear-Time List Decoding in Error-Free Settings: (Extended Abstract) , 2004, ICALP.
[38] Ding-Zhu Du,et al. Molecular Biology and Pooling Design , 2007 .
[39] Ely Porat,et al. k -Mismatch with Don't Cares , 2007, ESA.
[40] Ding-Zhu Du,et al. An unexpected meeting of four seemingly unrelated problems: graph testing, DNA complex screening, superimposed codes and secure key distribution , 2007, J. Comb. Optim..
[41] Mahdi Cheraghchi,et al. Simple Codes and Sparse Recovery with Fast Decoding , 2019, 2019 IEEE International Symposium on Information Theory (ISIT).
[42] Vasileios Nakos,et al. (Nearly) Sample-Optimal Sparse Fourier Transform in Any Dimension; RIPless and Filterless , 2019, 2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS).
[43] Holger Rauhut,et al. A Mathematical Introduction to Compressive Sensing , 2013, Applied and Numerical Harmonic Analysis.
[44] Sampath Kannan,et al. Group testing problems with sequences in experimental molecular biology , 1997, Proceedings. Compression and Complexity of SEQUENCES 1997 (Cat. No.97TB100171).
[45] Graham Cormode,et al. What's hot and what's not: tracking most frequent items dynamically , 2003, PODS '03.
[46] David P. Woodruff,et al. An Optimal Algorithm for ℓ1-Heavy Hitters in Insertion Streams and Related Problems , 2018, ACM Trans. Algorithms.
[47] Kannan Ramchandran,et al. SAFFRON: A fast, efficient, and robust framework for group testing based on sparse-graph codes , 2016, 2016 IEEE International Symposium on Information Theory (ISIT).
[48] Ding-Zhu Du,et al. A survey on combinatorial group testing algorithms with applications to DNA Library Screening , 1999, Discrete Mathematical Problems with Medical Applications.
[49] R. Gregory Taylor,et al. Modern computer algebra , 2002, SIGA.
[50] D. Balding,et al. Efficient pooling designs for library screening. , 1994, Genomics.
[51] Huacheng Yu,et al. Faster Update Time for Turnstile Streaming Algorithms , 2019, SODA.
[52] Ely Porat,et al. Search Methodologies , 2022 .
[53] David P. Woodruff,et al. On the exact space complexity of sketching and streaming small norms , 2010, SODA '10.
[54] Alexander Schliep,et al. Group testing with DNA chips: generating designs and decoding experiments , 2003, Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003.
[55] David P. Woodruff,et al. BPTree: an $\ell_2$ heavy hitters algorithm using constant memory , 2016 .
[56] David P. Woodruff,et al. Fast moment estimation in data streams in optimal space , 2010, STOC '11.
[57] Mayank Bakshi,et al. GROTESQUE: Noisy Group Testing (Quick and Efficient) , 2013, 2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[58] Ding-Zhu Du,et al. New Constructions of One- and Two-Stage Pooling Designs , 2008, J. Comput. Biol..
[59] Mahdi Cheraghchi,et al. Noise-resilient group testing: Limitations and constructions , 2008, Discret. Appl. Math..
[60] Marios Hadjieleftheriou,et al. Finding the frequent items in streams of data , 2009, CACM.
[61] Daniel A. Spielman,et al. Linear-time encodable and decodable error-correcting codes , 1995, STOC '95.
[62] Krzysztof Onak,et al. Sketching and Streaming Entropy via Approximation Theory , 2008, 2008 49th Annual IEEE Symposium on Foundations of Computer Science.
[63] S. Muthukrishnan,et al. Group testing problems in experimental molecular biology , 1995, math/9505211.
[64] David P. Woodruff. New Algorithms for Heavy Hitters in Data Streams (Invited Talk) , 2016, ICDT.
[65] Richard E. Ladner,et al. Group testing for image compression , 2000, Proceedings DCC 2000. Data Compression Conference.
[66] Mikhail J. Atallah,et al. Indexing Information for Data Forensics , 2005, ACNS.
[67] Vasileios Nakos,et al. Almost optimal phaseless compressed sensing with sublinear decoding time , 2017, 2017 IEEE International Symposium on Information Theory (ISIT).
[68] S. Frick,et al. Compressed Sensing , 2014, Computer Vision, A Reference Guide.
[69] Piotr Indyk,et al. Sample-Optimal Fourier Sampling in Any Constant Dimension , 2014, 2014 IEEE 55th Annual Symposium on Foundations of Computer Science.
[70] Leonard J. Schulman. Coding for interactive communication , 1996, IEEE Trans. Inf. Theory.
[71] Volkan Cevher,et al. An adaptive sublinear-time block sparse fourier transform , 2017, STOC.
[72] Junan Zhu,et al. Noisy Pooled PCR for Virus Testing , 2020, bioRxiv.
[73] Piotr Indyk,et al. Combining geometry and combinatorics: A unified approach to sparse signal recovery , 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.
[74] Ameya Velingker,et al. Dimension-independent Sparse Fourier Transform , 2019, SODA.
[75] A. Sterrett. On the Detection of Defective Members of Large Populations , 1957 .
[76] Vasileios Nakos,et al. Sublinear- Time Algorithms for Compressive Phase Retrieval , 2018, 2018 IEEE International Symposium on Information Theory (ISIT).
[77] D. Du,et al. Pooling Designs And Nonadaptive Group Testing: Important Tools For Dna Sequencing , 2006 .
[78] Frank K. Hwang,et al. A survey on nonadaptive group testing algorithms through the angle of decoding , 2008, J. Comb. Optim..
[79] Karl Bringmann,et al. Top-𝑘-convolution and the quest for near-linear output-sensitive subset sum , 2020, STOC.
[80] Ely Porat,et al. For-All Sparse Recovery in Near-Optimal Time , 2014, ACM Trans. Algorithms.
[81] N. J. A. Sloane,et al. The On-Line Encyclopedia of Integer Sequences , 2003, Electron. J. Comb..
[82] M. Sobel,et al. Group testing to eliminate efficiently all defectives in a binomial sample , 1959 .
[83] Miklós Ruszinkó,et al. On the upper bound of the size of the r -cover-free families , 1994 .
[84] Miklós Ruszinkó,et al. On the Upper Bound of the Size of the R-Cover-Free Families , 1993, Proceedings. IEEE International Symposium on Information Theory.
[85] Huy L. Nguyen,et al. Sparsity lower bounds for dimensionality reducing maps , 2012, STOC '13.
[86] Piotr Indyk,et al. Sparse Recovery Using Sparse Matrices , 2010, Proceedings of the IEEE.
[87] Atri Rudra,et al. Efficiently decodable non-adaptive group testing , 2010, SODA '10.
[88] Piotr Indyk,et al. Nearly optimal sparse fourier transform , 2012, STOC '12.
[89] R. Dorfman. The Detection of Defective Members of Large Populations , 1943 .
[90] David P. Woodruff,et al. BPTree: An ℓ2 Heavy Hitters Algorithm Using Constant Memory , 2016, PODS.
[91] Binbin Chen,et al. Sublinear-Time Non-Adaptive Group Testing With O(k log n) Tests via Bit-Mixing Coding , 2019, IEEE Transactions on Information Theory.
[92] Yael Mandel-Gutfreund,et al. Evaluation of COVID-19 RT-qPCR test in multi-sample pools , 2020, medRxiv.
[93] Moses Charikar,et al. Finding frequent items in data streams , 2002, Theor. Comput. Sci..
[94] Anna C. Gilbert,et al. Improved time bounds for near-optimal sparse Fourier representations , 2005, SPIE Optics + Photonics.
[95] Atri Rudra,et al. ℓ2/ℓ2-Foreach Sparse Recovery with Low Risk , 2013, ICALP.
[96] M. A. Iwen,et al. Improved Approximation Guarantees for Sublinear-Time Fourier Algorithms , 2010, ArXiv.
[97] Joel A. Tropp,et al. Algorithmic linear dimension reduction in the l_1 norm for sparse vectors , 2006, ArXiv.
[98] Eric Price,et al. A Fast Binary Splitting Approach to Non-Adaptive Group Testing , 2020, APPROX-RANDOM.
[99] Mikhail Kapralov,et al. Sample Efficient Estimation and Recovery in Sparse FFT via Isolation on Average , 2017, 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS).
[100] Richard C. Singleton,et al. Nonrandom binary superimposed codes , 1964, IEEE Trans. Inf. Theory.
[101] Anna Pagh,et al. Deterministic Radio Broadcasting , 2000, ICALP.
[102] David P. Woodruff,et al. On Deterministic Sketching and Streaming for Sparse Recovery and Norm Estimation , 2012, APPROX-RANDOM.
[103] Mahdi Cheraghchi,et al. Improved Constructions for Non-adaptive Threshold Group Testing , 2010, Algorithmica.
[104] David P. Woodruff,et al. An Optimal Algorithm for l1-Heavy Hitters in Insertion Streams and Related Problems , 2016, PODS.
[105] Ayfer Özgür,et al. On the Optimality of the Kautz-Singleton Construction in Probabilistic Group Testing , 2019, IEEE Transactions on Information Theory.
[106] Charles J. Colbourn,et al. Handbook of Combinatorial Designs, Second Edition (Discrete Mathematics and Its Applications) , 2006 .
[107] Emmanuel J. Candès,et al. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.