# Difference between revisions of "Bibliography"

Citations: Write {{cite|paper_id_1|paper_id_2||paper_id_k}} to cite papers paper_id_1, paper_id_2, …, paper_id_k. For instance, {{cite|AlonMS-99|BlumLR-93}} results in [AlonMS-99,BlumLR-93].

[AaronsonW-09]
Scott Aaronson and Avi Wigderson. Algebrization: A New Barrier in Complexity Theory. ACM Transactions on Computation Theory, 1(1), 2009.
[AcharyaCK-14]
Jayadev Acharya, Clément Canonne, and Gautam Kamath. A Chasm Between Identity and Equivalence Testing with Conditional Queries. In CoRR, abs/1411.7346, 2014.
Jayadev Acharya, Hirakendu Das, Alon Orlitsky, and Ananda Theertha Suresh. Estimating Symmetric Properties of Distributions: A Maximum Likelihood Approach . In ICML, 2017.
[AcharyaOST-17]
Jayadev Acharya, Alon Orlitsky, Ananda Theertha Suresh, and Himanshu Tyagi. Estimating Renyi Entropy of Discrete Distributions. In IEEE Transactions on Information Theory, vol. 63, no. 1, pages 38-56, 2017.
[AhnG-09]
Kook Jin Ahn and Sudipto Guha. Graph sparsification in the semi-streaming model. In International Colloquium on Automata, Languages and Programming, pages 328-338, 2009.
[AhnG-11]
Kook Jin Ahn and Sudipto Guha. Laminar Families and Metric Embeddings: Non-bipartite Maximum Matching Problem in the Semi-Streaming Model. In CoRR, abs/1104.4058, 2011.
[AhnGM-12]
Kook Jin Ahn, Sudipto Guha, and Andrew McGregor. Analyzing graph structure via linear measurements. In SODA, pages 459-467, 2012.
[AhnGM-12b]
Kook Jin Ahn, Sudipto Guha, and Andrew McGregor. Graph sketches: sparsification, spanners, and subgraphs. In PODS, pages 5-14, 2012.
[AilonL-11]
Nir Ailon and Edo Liberty. An almost optimal unrestricted fast Johnson-Lindenstrauss transform. In ACM-SIAM Symposium on Discrete Algorithms, pages 185-191, 2011.
[Alon-02]
Noga Alon. Testing subgraphs in large graphs. Random Struct. Algorithms, 21(3-4):359-370, 2002.
[AlonFNS-09]
Noga Alon, Eldar Fischer, Ilan Newman, and Asaf Shapira. A Combinatorial Characterization of the Testable Graph Properties: It's All About Regularity. SIAM J. Comput. 39(1):143-167, 2009.
[AlonMS-99]
Noga Alon, Yossi Matias, Mario Szegedy. The Space Complexity of Approximating the Frequency Moments. J. Comput. Syst. Sci. 58(1):137-147, 1999.
[AndoniCKQWZ-16]
Alexandr Andoni, Jiecao Chen, Robert Krauthgamer, Bo Qin, David P. Woodruff, and Qin Zhang. On Sketching Quadratic Forms. In ITCS, pages 311-319, 2016.
[AndoniDIW-09]
Alexandr Andoni, Khanh Do Ba, Piotr Indyk, and David P. Woodruff. Efficient sketches for earth-mover distance, with applications. In IEEE Symposium on Foundations of Computer Science, pages 324-330, 2009.
[AndoniGK-14]
Alexandr Andoni, Anupam Gupta, and Robert Krauthgamer. Towards $(1+\varepsilon)$-Approximate Flow Sparsifiers. In SODA, pages 279-293, 2014.
[AndoniIK-08]
Alexandr Andoni, Piotr Indyk, and Robert Krauthgamer. Earth mover distance over high-dimensional spaces. In SODA, pages 343-352, 2008.
[AndoniIK-09]
Alexandr Andoni, Piotr Indyk, and Robert Krauthgamer. Overcoming the $\ell_1$ non-embeddability barrier: algorithms for product metrics. In ACM-SIAM Symposium on Discrete Algorithms, pages 865-874, 2009.
[AndoniJP-10]
Alexandr Andoni, T. S. Jayram, and Mihai Patrascu. Lower bounds for edit distance and product metrics via Poincaré-type inequalities. In ACM-SIAM Symposium on Discrete Algorithms, pages 184-192, 2010.
[AndoniKR-14]
Alexandr Andoni, Robert Krauthgamer, and Ilya Razenshteyn. Sketching and Embedding are Equivalent for Norms. In CoRR, abs/1411.2577, 2014.
[AndoniN-12]
Alexandr Andoni and Huy L. Nguyen. Width of points in the streaming model. In ACM-SIAM Symposium on Discrete Algorithms, pages 447-452, 2012.
[AndoniO-09]
Alexandr Andoni and Krzysztof Onak. Approximating edit distance in near-linear time. In ACM Symposium on Theory of Computing, pages 199-204, 2009.
Sepehr Assadi, Sanjeev Khanna, Yang Li, and Grigory Yaroslavtsev. Maximum Matchings in Dynamic Graph Streams and the Simultaneous Communication Model. In SODA, pages 1345-1364, 2016.
Sepehr Assadi, Sanjeev Khanna, and Yang Li. On Estimating Maximum Matching Size in Graph Streams. In SODA, pages 1723-1742, 2017.
[BahBC-14]
Bubaccar Bah, Luca Baldassarre, and Volkan Cevher. Model-based Sketching and Recovery with Expanders. In ACM-SIAM Symposium on Discrete Algorithms, 2014.
[BaraniukCDH-10]
Richard G. Baraniuk, Volkan Cevher, Marco F. Duarte, and Chinmay Hegde. Model-based compressive sensing. IEEE Transactions on Information Theory, 56(4):1982-2001, 2010.
[BarYossefJKS-04]
Ziv Bar-Yossef, T. S. Jayram, Ravi Kumar, and D. Sivakumar. An information statistics approach to data stream and communication complexity. J. Comput. Syst. Sci., 68(4):702-732, 2004.
[BarYossefJKST-02]
Ziv Bar-Yossef, T.S. Jayram, Ravi Kumar, D. Sivakumar, and Luca Trevisan. Counting distinct elements in a data stream. In Proc. 6th International Workshop on Randomization and Approximation Techniques in Computer Science, pages 1-10, 2002.
[BarYossefKS-02]
Ziv Bar-Yossef, Ravi Kumar, and D. Sivakumar. Reductions in streaming algorithms, with an application to counting triangles in graphs. In ACM-SIAM Symposium on Discrete Algorithms, pages 623-632, 2002.
[Baswana-06]
Surender Baswana. Faster streaming algorithms for graph spanners. 2006.
[BatsonSS-14]
Joshua D. Batson, Daniel A. Spielman, and Nikhil Srivastava. Twice-Ramanujan Sparsifiers. SIAM Review 56(2):315-334, 2014.
[BatuFFKRW-01]
Tugkan Batu, Eldar Fischer, Lance Fortnow, Ravi Kumar, Ronitt Rubinfeld, and Patrick White. Testing random variables for independence and identity. In FOCS, pages 442-451, 2001.
[BenczurK-96]
András A. Benczúr and David R. Karger. Approximating $s{-}t$ minimum cuts in $\tilde O(n^2)$ time. In ACM Symposium on Theory of Computing, pages 47-55, 1996.
[BenderR-02]
Michael A. Bender and Dana Ron. Testing properties of directed graphs: acyclicity and connectivity. Random Struct. Algorithms, 20(2):184-205, 2002.
[BenjaminiSS-08]
Itai Benjamini, Oded Schramm, and Asaf Shapira. Every minor-closed property of sparse graphs is testable. In ACM Symposium on Theory of Computing, pages 393-402, 2008.
[BenSassonGMSS-11]
Eli Ben-Sasson, Elena Grigorescu, Ghid Maatouk, Amir Shpilka, and Madhu Sudan. On sums of locally testable affine invariant properties. Electronic Colloquium on Computational Complexity (ECCC), 18:79, 2011.
[BerindeIR-08]
Radu Berinde, Piotr Indyk, and Milan Ruzic. Practical near-optimal sparse recovery in the $l_1$ norm. Allerton, 2008.
[BermanRY-14]
Piotr Berman, Sofya Raskhodnikova, Grigory Yaroslavtsev. $L_p$-Testing. In ACM Symposium on Theory of Computing, pages 164-173, 2014.
[BhattacharyyaMMY-07]
S. Bhattacharyya, A. Madeira, S. Muthukrishnan, and T. Ye. How to scalably skip past streams. In WSSP (Workshop with ICDE), 2007.
[BhuvanagiriG-06]
Lakshminath Bhuvanagiri and Sumit Ganguly. Estimating entropy over data streams. In ESA, pages 148-159, 2006.
[BhuvanagiriGKS-06]
Lakshminath Bhuvanagiri, Sumit Ganguly, Deepanjan Kesh, and Chandan Saha. Simpler algorithm for estimating frequency moments of data streams. In ACM-SIAM Symposium on Discrete Algorithms, pages 708-713, 2006.
[BlaisCG-17]
Eric Blais, Clément L. Canonne, and Tom Gur. Distribution Testing Lower Bounds via Reductions from Communication Complexity. In CCC, 2017.
[BlumLR-93]
Manuel Blum, Michael Luby, and Ronitt Rubinfeld. Self-Testing/Correcting with Applications to Numerical Problems. J. Comput. Syst. Sci. 47(3):549-595, 1993.
[BogdanovOT-02]
Andrej Bogdanov, Kenji Obata, and Luca Trevisan. A lower bound for testing 3-colorability in bounded-degree graphs. In FOCS, pages 93-102, 2002.
[BonisGV-05]
Annalisa De Bonis, Leszek Gasieniec, and Ugo Vaccaro. Optimal two-stage algorithms for group testing problems. SIAM J. Comput., 34(5):1253-1270, 2005.
[BoulandCHTV-16]
Adam Bouland, Lijie Chen, Dhiraj Holden, Justin Thaler, and Prashant Nalini Vasudevan. On SZK and PP. CoRR abs/1609.02888, 2016.
[BravermanGPW-13]
Mark Braverman, Ankit Garg, Denis Pankratov, and Omri Weinstein. Information lower bounds via self-reducibility. In CSR, 2013.
[BravermanO-10]
Vladimir Braverman and Rafail Ostrovsky. Zero-one frequency laws. In ACM Symposium on Theory of Computing, pages 281-290, 2010.
[BroderCFM-00]
Andrei Z. Broder, Moses Charikar, Alan M. Frieze, and Michael Mitzenmacher. Min-wise independent permutations. J. Comput. Syst. Sci., 60(3):630-659, 2000.
[BrodyC-09]
Joshua Brody and Amit Chakrabarti. A multi-round communication lower bound for Gap Hamming and some consequences. In IEEE Conference on Computational Complexity, pages 358-368, 2009.
[BrodyCRVW-10]
Joshua Brody, Amit Chakrabarti, Oded Regev, Thomas Vidick, and Ronald de Wolf. Better Gap-Hamming lower bounds via better round elimination. In APPROX-RANDOM, pages 476-489, 2010.
[BrodyJSW-14]
Joshua Brody, Sune K. Jakobsen, Dominik Scheder, and Peter Winkler. Cryptogenography. In ITCS, pages 13-22, 2014.
[BunNS-18]
Mark Bun, Jelani Nelson, and Uri Stemmer. Heavy Hitters and the Structure of Local Privacy. In PODS, pages 435-447, 2018.
[BuriolFLMS-06]
Luciana S. Buriol, Gereon Frahling, Stefano Leonardi, Alberto Marchetti-Spaccamela, and Christian Sohler. Counting triangles in data streams. In ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, pages 253-262, 2006.
[CandesRT-06]
Emmanuel J. Candès, Justin K. Romberg, and Terence Tao. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory, 52(1):489-509, 2006.
[CandesRT-06a]
Emmanuel J. Candès, Justin Romberg, and Terence Tao. Stable signal recovery from incomplete and inaccurate measurements. Comm. Pure Appl. Math., 59(8):1208-1223, 2006.
[Canonne-15]
Clément L. Canonne. Big Data on the rise? Testing monotonicity of distributions. In ICALP, 2015.
[CanonneGR-16]
Clément L. Canonne, Themis Gouleakis, and Ronitt Rubinfeld. Sampling Correctors. In ITCS, 2016.
[CanonneRS-14]
Clément L. Canonne, Dana Ron, and Rocco A. Servedio. Testing equivalence between distributions using conditional samples. In SODA, pages 1174-1192, 2014.
[CarlsonKST-17]
Charles Carlson, Alexandra Kolla, Nikhil Srivastava, and Luca Trevisan. Optimal Lower Bounds for Sketching Graph Cuts. In CoRR, abs/1712.10261, 2017.
[Chakrabarti-10]
Amit Chakrabarti. A note on randomized streaming space bounds for the longest increasing subsequence problem. Electronic Colloquium on Computational Complexity (ECCC), 10(10), 2010.
[ChakrabartiCKM-10]
Amit Chakrabarti, Graham Cormode, Ranganath Kondapally, and Andrew McGregor. Information cost tradeoffs for augmented index and streaming language recognition. In IEEE Symposium on Foundations of Computer Science, pages 387-396, 2010.
[ChakrabartiCM-07]
Amit Chakrabarti, Graham Cormode, and Andrew McGregor. A near-optimal algorithm for computing the entropy of a stream. In ACM-SIAM Symposium on Discrete Algorithms, pages 328-335, 2007.
[ChakrabartiCM-09]
Amit Chakrabarti, Graham Cormode, and Andrew McGregor. Annotations in data streams. In International Colloquium on Automata, Languages and Programming, pages 222-234, 2009.
[ChakrabartiCMTV-15]
Amit Chakrabarti, Graham Cormode, Andrew McGregor, Justin Thaler, and Suresh Venkatasubramanian. Verifiable Stream Computation and Arthur-Merlin Communication. In IEEE Conference on Computational Complexity, pages 217-243, 2015.
[ChakrabartiK-14]
Amit Chakrabarti and Sagar Kale. Submodular Maximization Meets Streaming: Matchings, Matroids, and More. In IPCO, to appear, 2014.
[ChakrabartiR-11]
Amit Chakrabarti and Oded Regev. An optimal lower bound on the communication complexity of Gap-Hamming-Distance. In ACM Symposium on Theory of Computing, pages 51-60, 2011.
[ChakrabartiSWY-01]
Amit Chakrabarti, Yaoyun Shi, Anthony Wirth, and Andrew C. Yao. Informational complexity and the direct sum problem for simultaneous message complexity. In IEEE Symposium on Foundations of Computer Science, pages 270-278, 2001.
[ChakrabartyS-13]
Deeparnab Chakrabarty and C. Seshadhri. Optimal bounds for monotonicity and Lipschitz testing over hypercubes and hypergrids. In ACM Symposium on Theory of Computing, 2013.
[ChakrabortyFGM-13]
Sourav Chakraborty, Eldar Fischer, Yonatan Goldhirsh, Arie Matsliah. On the power of conditional samples in distribution testing. In ITCS, pages 561-580, 2013.
[ChanC-07]
Timothy M. Chan and Eric Y. Chen. Multi-pass geometric algorithms. Discrete & Computational Geometry, 37(1):79-102, 2007.
[Charikar-02]
Moses Charikar. Similarity estimation techniques from rounding algorithms. In STOC, pages 380-388, 2002.
[ChazelleRT-05]
Bernard Chazelle, Ronitt Rubinfeld, and Luca Trevisan. Approximating the Minimum Spanning Tree Weight in Sublinear Time. SIAM J. Comput. 34(6):1370-1379, 2005.
[ChenKPSSY21]
Lijie Chen, Gillat Kol, Dmitry Paramonov, Raghuvansh R. Saxena, Zhao Song, Huacheng Yu. Near-Optimal Two-Pass Streaming Algorithm for Sampling Random Walks over Directed Graphs. ICALP 2021: 52:1-52:19.
[ChienRS-03]
Steve Chien, Lars Eilstrup Rasmussen, and Alistair Sinclair. Clifford algebras and approximating the permanent. J. Comput. Syst. Sci. 67(2), 2003.
[ChiesaG-17]
Alessandro Chiesa and Tom Gur. Proofs of Proximity for Distribution Testing. Electronic Colloquium on Computational Complexity (ECCC) 24:155, 2017.
[ChitnisCEHMMV-16]
Rajesh Chitnis, Graham Cormode, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Andrew McGregor, Morteza Monemizadeh, and Sofya Vorotnikova. Kernelization via Sampling with Applications to Finding Matchings and Related Problems in Dynamic Graph Streams. In SODA, pages 1326-1344, 2016.
[ChouGV-20]
Chi-Ning Chou, Alexander Golovnev, and Santhoshini Velusamy. Optimal streaming approximations for all Boolean Max-2CSPs and Max-kSAT. In FOCS, pages 330-341, 2020.
[ChouGSV-21]
Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, and Santhoshini Velusamy. Approximability of all Boolean CSPs with linear sketches. 2021.
[ChouGSV-21a]
Chi-Ning Chou, Alexander Golovnev, Madhu Sudan, and Santhoshini Velusamy. Approximability of all finite CSPs with linear sketches. In FOCS, pages 1197-1208, 2021.
[CormodeDIM-03]
Graham Cormode, Mayur Datar, Piotr Indyk, and S. Muthukrishnan. Comparing data streams using hamming norms (how to zero in). IEEE Trans. Knowl. Data Eng., 15(3):529-540, 2003.
[CormodeKMS-06]
Graham Cormode, Flip Korn, S. Muthukrishnan, and Divesh Srivastava. Space- and time-efficient deterministic algorithms for biased quantiles over data streams. In PODS, pages 263-272, 2006.
[CormodeM-05]
Graham Cormode and S. Muthukrishnan. An improved data stream summary: the count-min sketch and its applications. J. Algorithms, 55(1):58-75, 2005.
[CormodeM-05a]
Graham Cormode and S. Muthukrishnan. What's new: finding significant differences in network data streams. IEEE/ACM Trans. Netw., 13(6):1219-1232, 2005.
[CormodeM-05b]
Graham Cormode and S. Muthukrishnan. Space efficient mining of multigraph streams. In ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, pages 271-282, 2005.
[CormodeM-06]
Graham Cormode and S. Muthukrishnan. Combinatorial algorithms for compressed sensing.In Paola Flocchini and Leszek Gasieniec, editors, Structural Information and Communication Complexity, 13th International Colloquium, SIROCCO 2006, Chester, UK, July 2-5, 2006, Proceedings, volume 4056 of Lecture Notes in Computer Science, pages 280-294. Springer, 2006.
[CormodePSV-00]
Graham Cormode, Mike Paterson, Suleyman Cenk Sahinalp, and Uzi Vishkin. Communication complexity of document exchange. In SODA, 2000.
[CrouchM-11]
Michael S. Crouch and Andrew McGregor. Periodicity and Cyclic Shifts via Linear Sketches. In APPROX, 2011.
[CrouchS-14]
Michael Crouch and Daniel Stubbs. In Andrew McGregor's presentation at the 2014 Bertinoro Workshop on Sublinear Algorithms.
[CzumajS-09]
Artur Czumaj and Christian Sohler. Estimating the Weight of Metric Minimum Spanning Trees in Sublinear Time. In SIAM J. Comput., 39(3):904–922, 2009.
Constantinos Daskalakis, Ilias Diakonikolas, and Rocco A. Servedio. Learning transformed product distributions. CoRR, abs/1103.0598, 2011.
Constantinos Daskalakis, Gautam Kamath, and John Wright. Which Distribution Distances are Sublinearly Testable? In SODA, 2018.
[DasSarmaGP-08]
Atish Das Sarma, Sreenivas Gollapudi, and Rina Panigrahy. Estimating PageRank on graph streams. In PODS, pages 69-78, 2008.
[DeanG-04]
Jeffrey Dean and Sanjay Ghemawat. MapReduce: Simplified data processing on large clusters. In OSDI, pages 137-150, 2004.
[DemaineLM-02]
Erik D. Demaine, Alejandro López-Ortiz, and J. Ian Munro. Frequency estimation of internet packet streams with limited space. In ESA, pages 348-360, 2002.
[DemetrescuFR-06]
Camil Demetrescu, Irene Finocchi, and Andrea Ribichini. Trading off space for passes in graph streaming problems. In ACM-SIAM Symposium on Discrete Algorithms, pages 714-723, 2006.
[DodisGLRRS-99]
Yevgeniy Dodis, Oded Goldreich, Eric Lehman, Sofya Raskhodnikova, Dana Ron, and Alex Samorodnitsky. Improved testing algorithms for monotonicity. In RANDOM-APPROX, pages 97-108, 1999.
[DoerrK-16]
Benjamin Doerr, Marvin Kunnemann. Improved Protocols and Hardness Results for the Two-Player Cryptogenography Problem. In ICALP, 2016.
[Donoho-06]
David L. Donoho. Compressed sensing. IEEE Transactions on Information Theory, 52(4):1289-1306, 2006.
[DrakeH-03]
Doratha E. Drake and Stefan Hougardy. Improved linear time approximation algorithms for weighted matchings. In RANDOM-APPROX, pages 14-23, 2003.
[DrineasMM-06]
Petros Drineas, Michael W. Mahoney, and S. Muthukrishnan. Sampling algorithms for $\ell_2$ regression and applications. In ACM-SIAM Symposium on Discrete Algorithms, pages 1127-1136, 2006.
[DrineasMM-06a]
Petros Drineas, Michael W. Mahoney, and S. Muthukrishnan. Subspace sampling and relative-error matrix approximation: Column-based methods. In APPROX-RANDOM, pages 316-326, 2006.
[DrineasMM-06b]
Petros Drineas, Michael W. Mahoney, and S. Muthukrishnan. Subspace sampling and relative-error matrix approximation: Column-row-based methods. In ESA, pages 304-314, 2006.
[Eddy-04]
Sean R Eddy. How do RNA folding algorithms work? Nature Biotechnology, 22, pages 1457-1458, 2004.
[EdenJPRS-18]
Talya Eden, Shweta Jain, Ali Pinar, Dana Ron, and C. Seshadhri. Provable and practical approximations for the degree distribution using sublinear graph samples. In WWW, pages 449–458. 2018.
[Edmonds-65]
Jack Edmonds. Maximum matching and a polyhedron with 0,1-vertices. J. Res. Nat. Bur. Standards, 69(B):125-130, 1965.
[Elkin-06]
Michael Elkin. A near-optimal fully dynamic distributed algorithm for maintaining sparse spanners. 2006.
[ElkinZ-06]
Michael Elkin and Jian Zhang. Efficient algorithms for constructing $(1+\epsilon, \beta)$-spanners in the distributed and streaming models. Distributed Computing, 18(5):375-385, 2006.
[EpsteinLMS-11]
Leah Epstein, Asaf Levin, Julian Mestre, and Danny Segev. Improved Approximation Guarantees for Weighted Matching in the Semi-streaming Model. SIAM J. Discrete Math. 25(3), 2011.
[ErgunJ-08]
Funda Ergün and Hossein Jowhari. On distance to monotonicity and longest increasing subsequence of a data stream. In ACM-SIAM Symposium on Discrete Algorithms, pages 730-736, 2008.
[FalahatgarJOPS-15]
Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky, Venkatadheeraj Pichapathi, and Ananda Theertha Suresh. Faster Algorithms for Testing under Conditional Sampling. In CoRR, abs/1504.04103, 2015.
[FeigenbaumKMSZ-05]
Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, and Jian Zhang. Graph distances in the streaming model: the value of space. In ACM-SIAM Symposium on Discrete Algorithms, pages 745-754, 2005.
[FeigenbaumKMSZ-05a]
Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, and Jian Zhang. On graph problems in a semi-streaming model. Theoretical Computer Science, 348(2-3):207-216, 2005.
[FeigenbaumKMSZ-08]
Joan Feigenbaum, Sampath Kannan, Andrew McGregor, Siddharth Suri, and Jian Zhang. Graph distances in the data-stream model. SIAM J. Comput., 38(5):1709-1727, 2008.
[FeigenbaumKSV-02]
Joan Feigenbaum, Sampath Kannan, Martin Strauss, and Mahesh Viswanathan. An approximate $L^1$ difference algorithm for massive data streams. Journal on Computing, 32(1):131-151, 2002.
[FeldmanMSSS-06]
Jon Feldman, S. Muthukrishnan, Anastasios Sidiropoulos, Cliff Stein, and Zoya Svitkina. On the complexity of processing massive, unordered, distributed data. 2006.
[FeldmanMSSS-10]
Jon Feldman, S. Muthukrishnan, Anastasios Sidiropoulos, Clifford Stein, and Zoya Svitkina. On distributing symmetric streaming computations. ACM Transactions on Algorithms, 6(4), 2010.
[FichtenbergerPS-15]
Hendrik Fichtenberger, Pan Peng, and Christian Sohler. On constant-size graphs that preserve the local structure of high-girth graphs. In APPROX-RANDOM, pages 786-799, 2015.
[Forster-01]
Jurgen Forster. A Linear Lower Bound on the Unbounded Error Probabilistic Communication Complexity. In IEEE Conference on Computational Complexity, pages 100-106, 2001.
[ForsterY-19]
Sebastian Forster and Liu Yang. A faster local algorithm for detecting bounded-size cuts with applications to higher-connectivity problems. In CoRR, abs/1904.08382, 2019.
[GabizonH-10]
Ariel Gabizon and Avinatan Hassidim. Derandomizing algorithms on product distributions and other applications of order-based extraction. In ICS, pages 397-405, 2010.
[Gabow-90]
Harold N. Gabow. Data structures for weighted matching and nearest common ancestors with linking. In ACM-SIAM Symposium on Discrete Algorithms, pages 434-443, 1990.
[GalG-07]
Anna Gál and Parikshit Gopalan. Lower bounds on streaming algorithms for approximating the length of the longest increasing subsequence. In IEEE Symposium on Foundations of Computer Science, pages 294-304, 2007.
[Ganguly-06]
Sumit Ganguly and Anirban Majumder. CR-precis: A deterministic summary structure for update data streams. In ESCAPE, 2007.
[GilbertKMS-02]
Anna C. Gilbert, Yannis Kotidis, S. Muthukrishnan, and Martin Strauss. How to summarize the universe: Dynamic maintenance of quantiles. In Proc. 28th International Conference on Very Large Data Bases, pages 454-465, 2002.
[GilbertSTV-07]
A. C. Gilbert, M. J. Strauss, J. A. Tropp, and R. Vershynin. One sketch for all: fast algorithms for compressed sensing. ACM Symposium on Theory of Computing, 2007.
[Goldreich-17]
Oded Goldreich. Introduction to Property Testing. Cambridge University Press, November 2017.
[Goldreich-19a]
Oded Goldreich. Testing graphs in vertex-distribution-free models. In STOC, pages 527–534, 2019.
[Goldreich-19b]
Oded Goldreich. On the complexity of estimating the effective support size. Electronic Colloquium on Computational Complexity (ECCC), 26:88, 2019.
[GoldreichR-02]
Oded Goldreich and Dana Ron. Property Testing in Bounded Degree Graphs. Algorithmica, 32(2):302-343, 2002
[GoldreichGR-98]
Oded Goldreich, Shafi Goldwasser, and Dana Ron. Property testing and its connection to learning and approximation. J. ACM, 45(4):653–750, 1998.
[GolubV-89]
G.H. Golub and C.F. Van Loan. Matrix Computations. Johns Hopkins University Press, Baltimore, 1989.
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R. E. Gomory and T. C. Hu. Multi-terminal network flows. Journal of the Society for Industrial and Applied Mathematics, 9(4):551-570, 1961.
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Parikshit Gopalan, T. S. Jayram, Robert Krauthgamer, and Ravi Kumar. Estimating the sortedness of a data stream. In ACM-SIAM Symposium on Discrete Algorithms, pages 318-327, 2007.
[GoreinovT-01]
S. A. Goreinov and E. E. Tyrtyshnikov. The maximum-volume concept in approximation by low-rank matrices. Contemporary Mathematics, 280, pages 47-51, 2001.
[GoreinovTZ-97]
S. A. Goreinov, E. E. Tyrtyshnikov, and N. L. Zamarashkin. A theory of pseudoskeleton approximations. Linear Algebra and its Applications, 261, pages 1-21, August 1997.
[Gould-96]
Stephen Jay Gould.The Mismeasure of Man. W. W. Norton and Company, 1996.
[GreenwaldK-01]
Michael Greenwald and Sanjeev Khanna. Space-efficient online computation of quantile summaries. In ACM SIGMOD International Conference on Management of Data, pages 58-66, 2001.
[GrigorescuKS-08]
Elena Grigorescu, Tali Kaufman, and Madhu Sudan. 2-transitivity is insufficient for local testability. In IEEE Conference on Computational Complexity, pages 259-267, 2008.
[GroheGLSTV-07]
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