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Dana Ron

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2009
103EESharon Marko, Dana Ron: Approximating the distance to properties in bounded-degree and general sparse graphs. ACM Transactions on Algorithms 5(2): (2009)
2008
102EEIdo Ben-Eliezer, Tali Kaufman, Michael Krivelevich, Dana Ron: Comparing the strength of query types in property testing: the case of testing k-colorability. SODA 2008: 1213-1222
101EEMira Gonen, Dana Ron, Udi Weinsberg, Avishai Wool: Finding a dense-core in Jellyfish graphs. Computer Networks 52(15): 2831-2841 (2008)
100EEOded Goldreich, Dana Ron: Algorithmic Aspects of Property Testing in the Dense Graphs Model. Electronic Colloquium on Computational Complexity (ECCC) 15(039): (2008)
99EEOded Goldreich, Dana Ron: On Proximity Oblivious Testing. Electronic Colloquium on Computational Complexity (ECCC) 15(041): (2008)
98EEDana Ron: Property Testing: A Learning Theory Perspective. Foundations and Trends in Machine Learning 1(3): 307-402 (2008)
97EEOded Goldreich, Dana Ron: Approximating average parameters of graphs. Random Struct. Algorithms 32(4): 473-493 (2008)
96EENoga Alon, Tali Kaufman, Michael Krivelevich, Dana Ron: Testing Triangle-Freeness in General Graphs. SIAM J. Discrete Math. 22(2): 786-819 (2008)
2007
95EEMira Gonen, Dana Ron: On the Benefits of Adaptivity in Property Testing of Dense Graphs. APPROX-RANDOM 2007: 525-539
94EESofya Raskhodnikova, Dana Ron, Ronitt Rubinfeld, Adam Smith: Sublinear Algorithms for Approximating String Compressibility. APPROX-RANDOM 2007: 609-623
93EEDana Ron: Property Testing: A Learning Theory Perspective. COLT 2007: 1-2
92EESofya Raskhodnikova, Dana Ron, Amir Shpilka, Adam Smith: Strong Lower Bounds for Approximating Distribution Support Size and the Distinct Elements Problem. FOCS 2007: 559-569
91EEMira Gonen, Dana Ron, Udi Weinsberg, Avishai Wool: Finding a Dense-Core in Jellyfish Graphs. WAW 2007: 29-40
90EESofya Raskhodnikova, Dana Ron, Ronitt Rubinfeld, Adam Smith: Sublinear Algorithms for Approximating String Compressibility CoRR abs/0706.1084: (2007)
89EEDana Ron, Amir Rosenfeld, Salil P. Vadhan: The hardness of the Expected Decision Depth problem. Inf. Process. Lett. 101(3): 112-118 (2007)
88EEMichal Parnas, Dana Ron: Approximating the minimum vertex cover in sublinear time and a connection to distributed algorithms. Theor. Comput. Sci. 381(1-3): 183-196 (2007)
2006
87EEOded Goldreich, Dana Ron: Approximating Average Parameters of Graphs. APPROX-RANDOM 2006: 363-374
86EESharon Marko, Dana Ron: Distance Approximation in Bounded-Degree and General Sparse Graphs. APPROX-RANDOM 2006: 475-486
85EENoga Alon, Tali Kaufman, Michael Krivelevich, Dana Ron: Testing triangle-freeness in general graphs. SODA 2006: 279-288
84EEMichal Parnas, Dana Ron, Ronitt Rubinfeld: Tolerant property testing and distance approximation. J. Comput. Syst. Sci. 72(6): 1012-1042 (2006)
83EETali Kaufman, Dana Ron: Testing Polynomials over General Fields. SIAM J. Comput. 36(3): 779-802 (2006)
2005
82EEOded Goldreich, Dana Ron: Approximating Average Parameters of Graphs. Sublinear Algorithms 2005
81EEOded Goldreich, Dana Ron: Approximating Average Parameters of Graphs. Electronic Colloquium on Computational Complexity (ECCC)(073): (2005)
80EEMichal Parnas, Dana Ron: On Approximating the Minimum Vertex Cover in Sublinear Time and the Connection to Distributed Algorithms Electronic Colloquium on Computational Complexity (ECCC)(094): (2005)
79EESofya Raskhodnikova, Dana Ron, Ronitt Rubinfeld, Amir Shpilka, Adam Smith: Sublinear Algorithms for Approximating String Compressibility and the Distribution Support Size Electronic Colloquium on Computational Complexity (ECCC)(125): (2005)
78EENoga Alon, Tali Kaufman, Michael Krivelevich, Simon Litsyn, Dana Ron: Testing Reed-Muller codes. IEEE Transactions on Information Theory 51(11): 4032-4039 (2005)
77EETali Kaufman, Dana Ron: A characterization of low-weight words that span generalized reed-muller codes. IEEE Transactions on Information Theory 51(11): 4039-4043 (2005)
2004
76 Klaus Jansen, Sanjeev Khanna, José D. P. Rolim, Dana Ron: Approximation, Randomization, and Combinatorial Optimization, Algorithms and Techniques, 7th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2004, and 8th International Workshop on Randomization and Computation, RANDOM 2004, Cambridge, MA, USA, August 22-24, 2004, Proceedings Springer 2004
75EETali Kaufman, Dana Ron: Testing Polynomials over General Fields. FOCS 2004: 413-422
74EEMichal Parnas, Dana Ron, Ronitt Rubinfeld: Tolerant Property Testing and Distance Approximation Electronic Colloquium on Computational Complexity (ECCC)(010): (2004)
73EEOded Goldreich, Dana Ron: On Estimating the Average Degree of a Graph Electronic Colloquium on Computational Complexity (ECCC)(013): (2004)
72EEEldar Fischer, Guy Kindler, Dana Ron, Shmuel Safra, Alex Samorodnitsky: Testing juntas. J. Comput. Syst. Sci. 68(4): 753-787 (2004)
71EENina Mishra, Dana Ron, Ram Swaminathan: A New Conceptual Clustering Framework. Machine Learning 56(1-3): 115-151 (2004)
70EETali Kaufman, Michael Krivelevich, Dana Ron: Tight Bounds for Testing Bipartiteness in General Graphs. SIAM J. Comput. 33(6): 1441-1483 (2004)
2003
69EENina Mishra, Dana Ron, Ram Swaminathan: On Finding Large Conjunctive Clusters. COLT 2003: 448-462
68EENoga Alon, Tali Kaufman, Michael Krivelevich, Simon Litsyn, Dana Ron: Testing Low-Degree Polynomials over GF(2(. RANDOM-APPROX 2003: 188-199
67EETali Kaufman, Michael Krivelevich, Dana Ron: Tight Bounds for Testing Bipartiteness in General Graphs. RANDOM-APPROX 2003: 341-353
66EEMeir Feder, Dana Ron, Ami Tavory: Bounds on Linear Codes for Network Multicast Electronic Colloquium on Computational Complexity (ECCC) 10(033): (2003)
65EEMichal Parnas, Dana Ron: Testing metric properties. Inf. Comput. 187(2): 155-195 (2003)
64EEMichal Parnas, Dana Ron, Ronitt Rubinfeld: Testing membership in parenthesis languages. Random Struct. Algorithms 22(1): 98-138 (2003)
63EEMichal Parnas, Dana Ron, Ronitt Rubinfeld: On Testing Convexity and Submodularity. SIAM J. Comput. 32(5): 1158-1184 (2003)
62EEGuy Even, Zvi Lotker, Dana Ron, Shakhar Smorodinsky: Conflict-Free Colorings of Simple Geometric Regions with Applications to Frequency Assignment in Cellular Networks. SIAM J. Comput. 33(1): 94-136 (2003)
61EENoga Alon, Seannie Dar, Michal Parnas, Dana Ron: Testing of Clustering. SIAM J. Discrete Math. 16(3): 393-417 (2003)
2002
60EEEldar Fischer, Guy Kindler, Dana Ron, Shmuel Safra, Alex Samorodnitsky: Testing Juntas. FOCS 2002: 103-112
59EEGuy Even, Zvi Lotker, Dana Ron, Shakhar Smorodinsky: Conflict-Free Colorings of Simple Geometric Regions with Applications to Frequency Assignment in Cellular Networks. FOCS 2002: 691-700
58EEMichal Parnas, Dana Ron, Ronitt Rubinfeld: On Testing Convexity and Submodularity. RANDOM 2002: 11-25
57EEOded Goldreich, Dana Ron: Property Testing in Bounded Degree Graphs. Algorithmica 32(2): 302-343 (2002)
56EEMichael A. Bender, Antonio Fernández, Dana Ron, Amit Sahai, Salil P. Vadhan: The Power of a Pebble: Exploring and Mapping Directed Graphs. Inf. Comput. 176(1): 1-21 (2002)
55 Michal Parnas, Dana Ron: Testing the diameter of graphs. Random Struct. Algorithms 20(2): 165-183 (2002)
54 Michael A. Bender, Dana Ron: Testing properties of directed graphs: acyclicity and connectivity. Random Struct. Algorithms 20(2): 184-205 (2002)
53EEMichal Parnas, Dana Ron, Alex Samorodnitsky: Testing Basic Boolean Formulae. SIAM J. Discrete Math. 16(1): 20-46 (2002)
2001
52EEMichal Parnas, Dana Ron, Ronitt Rubinfeld: Testing Parenthesis Languages. RANDOM-APPROX 2001: 261-272
51EEMichal Parnas, Dana Ron, Alex Samorodnitsky: Proclaiming Dictators and Juntas or Testing Boolean Formulae. RANDOM-APPROX 2001: 273-284
50EEMichal Parnas, Dana Ron: Testing metric properties. STOC 2001: 276-285
49EEIlan Kremer, Noam Nisan, Dana Ron: Errata for: "On randomized one-round communication complexity". Computational Complexity 10(4): 314-315 (2001)
48EEMichal Parnas, Dana Ron, Alex Samorodnitsky: Proclaiming Dictators and Juntas or Testing Boolean Formulae Electronic Colloquium on Computational Complexity (ECCC) 8(063): (2001)
47EEEric Lehman, Dana Ron: On Disjoint Chains of Subsets. J. Comb. Theory, Ser. A 94(2): 399-404 (2001)
2000
46 Noga Alon, Seannie Dar, Michal Parnas, Dana Ron: Testing of Clustering. FOCS 2000: 240-250
45EEMichael A. Bender, Dana Ron: Testing Acyclicity of Directed Graphs in Sublinear Time. ICALP 2000: 809-820
44EEOded Goldreich, Shafi Goldwasser, Eric Lehman, Dana Ron, Alex Samorodnitsky: Testing Monotonicity. Combinatorica 20(3): 301-337 (2000)
43EEOded Goldreich, Dana Ron: On Testing Expansion in Bounded-Degree Graphs Electronic Colloquium on Computational Complexity (ECCC) 7(20): (2000)
42 Oded Goldreich, Dana Ron, Madhu Sudan: Chinese remaindering with errors. IEEE Transactions on Information Theory 46(4): 1330-1338 (2000)
41 Michael J. Kearns, Dana Ron: Testing Problems with Sublearning Sample Complexity. J. Comput. Syst. Sci. 61(3): 428-456 (2000)
1999
40 Michal Parnas, Dana Ron: Testing the Diameter of Graphs. RANDOM-APPROX 1999: 85-96
39 Yevgeniy Dodis, Oded Goldreich, Eric Lehman, Sofya Raskhodnikova, Dana Ron, Alex Samorodnitsky: Improved Testing Algorithms for Monotonicity. RANDOM-APPROX 1999: 97-108
38EEOded Goldreich, Dana Ron, Madhu Sudan: Chinese Remaindering with Errors. STOC 1999: 225-234
37EEOded Goldreich, Dana Ron: A Sublinear Bipartiteness Tester for Bounded Degree Graphs. Combinatorica 19(3): 335-373 (1999)
36EEIlan Kremer, Noam Nisan, Dana Ron: On Randomized One-Round Communication Complexity. Computational Complexity 8(1): 21-49 (1999)
35EEYevgeniy Dodis, Oded Goldreich, Eric Lehman, Sofya Raskhodnikova, Dana Ron, Alex Samorodnitsky: Improved Testing Algorithms for Monotonicity. Electronic Colloquium on Computational Complexity (ECCC) 6(17): (1999)
34 Michael J. Kearns, Dana Ron: Algorithmic Stability and Sanity-Check Bounds for Leave-One-Out Cross-Validation. Neural Computation 11(6): 1427-1453 (1999)
33 Scott E. Decatur, Oded Goldreich, Dana Ron: Computational Sample Complexity. SIAM J. Comput. 29(3): 854-879 (1999)
1998
32EEMichael J. Kearns, Dana Ron: Testing Problems with Sub-Learning Sample Complexity. COLT 1998: 268-279
31EEOded Goldreich, Shafi Goldwasser, Eric Lehman, Dana Ron: Testing Monotonicity. FOCS 1998: 426-435
30EEMichael A. Bender, Antonio Fernández, Dana Ron, Amit Sahai, Salil P. Vadhan: The Power of a Pebble: Exploring and Mapping Directed Graphs. STOC 1998: 269-278
29EEOded Goldreich, Dana Ron: A Sublinear Bipartiteness Tester for Bunded Degree Graphs. STOC 1998: 289-298
28EEOded Goldreich, Dana Ron, Madhu Sudan: Chinese Remaindering with Errors Electronic Colloquium on Computational Complexity (ECCC) 5(62): (1998)
27EEOded Goldreich, Shafi Goldwasser, Dana Ron: Property Testing and its Connection to Learning and Approximation. J. ACM 45(4): 653-750 (1998)
26 Dana Ron, Yoram Singer, Naftali Tishby: On the Learnability and Usage of Acyclic Probabilistic Finite Automata. J. Comput. Syst. Sci. 56(2): 133-152 (1998)
25 Dana Ron: Guest Editor's Introduction. Machine Learning 30(1): 5-6 (1998)
1997
24EEScott E. Decatur, Oded Goldreich, Dana Ron: Computational Sample Complexity. COLT 1997: 130-142
23EEMichael J. Kearns, Dana Ron: Algorithmic Stability and Sanity-Check Bounds for Leave-one-Out Cross-Validation. COLT 1997: 152-162
22EEOded Goldreich, Dana Ron: Property Testing in Bounded Degree Graphs. STOC 1997: 406-415
21EEScott E. Decatur, Oded Goldreich, Dana Ron: Computational Sample Complexity Electronic Colloquium on Computational Complexity (ECCC) 4(28): (1997)
20 Yoav Freund, Michael J. Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie: Efficient Learning of Typical Finite Automata from Random Walks. Inf. Comput. 138(1): 23-48 (1997)
19EEOded Goldreich, Dana Ron: On Universal Learning Algorithms. Inf. Process. Lett. 63(3): 131-136 (1997)
18 Dana Ron, Ronitt Rubinfeld: Exactly Learning Automata of Small Cover Time. Machine Learning 27(1): 69-96 (1997)
17 Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron: An Experimental and Theoretical Comparison of Model Selection Methods. Machine Learning 27(1): 7-50 (1997)
1996
16 Oded Goldreich, Shafi Goldwasser, Dana Ron: Property Testing and Its Connection to Learning and Approximation. FOCS 1996: 339-348
15EEOded Goldreich, Shafi Goldwasser, Dana Ron: Property Testing and its connection to Learning and Approximation Electronic Colloquium on Computational Complexity (ECCC) 3(57): (1996)
14EEMichael Ben-Or, Dana Ron: Agreement in the Presence of Faults, on Networks of Bounded Degree. Inf. Process. Lett. 57(6): 329-334 (1996)
13 Dana Ron, Yoram Singer, Naftali Tishby: The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length. Machine Learning 25(2-3): 117-149 (1996)
1995
12EEMichael J. Kearns, Yishay Mansour, Andrew Y. Ng, Dana Ron: An Experimental and Theoretical Comparison of Model Selection Methods. COLT 1995: 21-30
11EEDana Ron, Yoram Singer, Naftali Tishby: On the Learnability and Usage of Acyclic Probabilistic Finite Automata. COLT 1995: 31-40
10EEYoav Freund, Dana Ron: Learning to Model Sequences Generated by Switching Distributions. COLT 1995: 41-50
9EEDana Ron, Ronitt Rubinfeld: Exactly Learning Automata with Small Cover Time. COLT 1995: 427-436
8 Yoav Freund, Michael J. Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire: Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries. FOCS 1995: 332-341
7EEIlan Kremer, Noam Nisan, Dana Ron: On randomized one-round communication complexity. STOC 1995: 596-605
6 Dana Ron, Ronitt Rubinfeld: Learning Fallible Deterministic Finite Automata. Machine Learning 18(2-3): 149-185 (1995)
1994
5EEDana Ron, Yoram Singer, Naftali Tishby: Learning Probabilistic Automata with Variable Memory Length. COLT 1994: 35-46
4EEMichael J. Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie: On the learnability of discrete distributions. STOC 1994: 273-282
1993
3EEDana Ron, Ronitt Rubinfeld: Learning Fallible Finite State Automata. COLT 1993: 218-227
2EEDana Ron, Yoram Singer, Naftali Tishby: The Power of Amnesia. NIPS 1993: 176-183
1EEYoav Freund, Michael J. Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie: Efficient learning of typical finite automata from random walks. STOC 1993: 315-324

Coauthor Index

1Noga Alon [46] [61] [68] [78] [85] [96]
2Ido Ben-Eliezer [102]
3Michael Ben-Or [14]
4Michael A. Bender [30] [45] [54] [56]
5Seannie Dar [46] [61]
6Scott E. Decatur [21] [24] [33]
7Yevgeniy Dodis [35] [39]
8Guy Even [59] [62]
9Meir Feder [66]
10Antonio Fernández [30] [56]
11Eldar Fischer [60] [72]
12Yoav Freund [1] [8] [10] [20]
13Oded Goldreich [15] [16] [19] [21] [22] [24] [27] [28] [29] [31] [33] [35] [37] [38] [39] [42] [43] [44] [57] [73] [81] [82] [87] [97] [99] [100]
14Shafi Goldwasser [15] [16] [27] [31] [44]
15Mira Gonen [91] [95] [101]
16Klaus Jansen [76]
17Tali Kaufman [67] [68] [70] [75] [77] [78] [83] [85] [96] [102]
18Michael J. Kearns [1] [4] [8] [12] [17] [20] [23] [32] [34] [41]
19Sanjeev Khanna [76]
20Guy Kindler [60] [72]
21Ilan Kremer [7] [36] [49]
22Michael Krivelevich [67] [68] [70] [78] [85] [96] [102]
23Eric Lehman [31] [35] [39] [44] [47]
24Simon Litsyn [68] [78]
25Zvi Lotker [59] [62]
26Yishay Mansour [4] [8] [12] [17]
27Sharon Marko [86] [103]
28Nina Mishra [69] [71]
29Andrew Y. Ng [12] [17]
30Noam Nisan [7] [36] [49]
31Michal Parnas [40] [46] [48] [50] [51] [52] [53] [55] [58] [61] [63] [64] [65] [74] [80] [84] [88]
32Sofya Raskhodnikova [35] [39] [79] [90] [92] [94]
33José D. P. Rolim [76]
34Amir Rosenfeld [89]
35Ronitt Rubinfeld [1] [3] [4] [6] [8] [9] [18] [20] [52] [58] [63] [64] [74] [79] [84] [90] [94]
36Shmuel Safra [60] [72]
37Amit Sahai [30] [56]
38Alex Samorodnitsky [35] [39] [44] [48] [51] [53] [60] [72]
39Robert E. Schapire [1] [4] [8] [20]
40Linda Sellie [1] [4] [20]
41Amir Shpilka [79] [92]
42Yoram Singer [2] [5] [11] [13] [26]
43Adam Smith [79] [90] [92] [94]
44Shakhar Smorodinsky [59] [62]
45Madhu Sudan [28] [38] [42]
46Ram Swaminathan [69] [71]
47Ami Tavory [66]
48Naftali Tishby [2] [5] [11] [13] [26]
49Salil P. Vadhan [30] [56] [89]
50Udi Weinsberg [91] [101]
51Avishai Wool [91] [101]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)