Sanjeev R. Kulkarni

	2012
99		Aman Jain, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verdú: Energy-Distortion Tradeoffs in Gaussian Joint Source-Channel Coding Problems. IEEE Transactions on Information Theory 58(5): 3153-3168 (2012)
98		Dmitriy Shutin, Christoph Zechner, Sanjeev R. Kulkarni, H. Vincent Poor: Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout. Neural Computation 24(4): 967-995 (2012)
97		Jieqi Yu, Sanjeev R. Kulkarni, H. Vincent Poor: Robust ellipse and spheroid fitting. Pattern Recognition Letters 33(5): 492-499 (2012)
	2011
96		Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson: Improving aggregated forecasts of probability. CISS 2011: 1-5
95		Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor: Consensus clustering: The Filtered Stochastic Best-One-Element-Move Algorithm. CISS 2011: 1-6
94		Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor: Fast adaptive variational sparse Bayesian learning with automatic relevance determination. ICASSP 2011: 2180-2183
93		Yiyue Wu, Haipeng Zheng, A. Robert Calderbank, Sanjeev R. Kulkarni, H. Vincent Poor: On optimal precoding in wireless multicast systems. ICASSP 2011: 3068-3071
92		Shang Shang, Pan Hui, Sanjeev R. Kulkarni, Paul Cuff: Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models. ICPADS 2011: 835-840
91		Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor, Daniel N. Osherson: Aggregating Large Sets of Probabilistic Forecasts by Weighted Coherent Adjustment. Decision Analysis 8(2): 128-144 (2011)
90		Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú: Multicasting in Large Wireless Networks: Bounds on the Minimum Energy Per Bit. IEEE Transactions on Information Theory 57(1): 14-32 (2011)
89		Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú: Energy Efficiency of Decode-and-Forward for Wideband Wireless Multicasting. IEEE Transactions on Information Theory 57(12): 7695-7713 (2011)
88		Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni: Probability Estimation in the Rare-Events Regime. IEEE Transactions on Information Theory 57(6): 3207-3229 (2011)
87		Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor: Attribute-Distributed Learning: Models, Limits, and Algorithms. IEEE Transactions on Signal Processing 59(1): 386-398 (2011)
86		Dmitriy Shutin, Thomas Buchgraber, Sanjeev R. Kulkarni, H. Vincent Poor: Fast Variational Sparse Bayesian Learning With Automatic Relevance Determination for Superimposed Signals. IEEE Transactions on Signal Processing 59(12): 6257-6261 (2011)
	2010
85		Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor: Agent selection for regression on attribute distributed data. ICASSP 2010: 2242-2245
84		Aman Jain, Deniz Gündüz, Sanjeev R. Kulkarni, H. Vincent Poor, Sergio Verdú: Energy efficient lossy transmission over sensor networks with feedback. ICASSP 2010: 5558-5561
83		Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú: Minimum Energy per Bit for Wideband Wireless Multicasting: Performance of Decode-and-Forward. INFOCOM 2010: 2393-2401
82		Jieqi Yu, Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor: Two-Stage Outlier Elimination for Robust Curve and Surface Fitting. EURASIP J. Adv. Sig. Proc. 2010: (2010)
	2009
81		Guanchun Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Aggregating disparate judgments using a coherence penalty. CISS 2009: 23-27
80		Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú: Multicasting in large random wireless networks: Bounds on the minimum energy per bit. ISIT 2009: 2627-2631
79		Fernando Pérez-Cruz, Sanjeev R. Kulkarni: Distributed least square for consensus building in sensor networks. ISIT 2009: 2877-2881
78		Aman Jain, Sanjeev R. Kulkarni, Sergio Verdú: Multicasting in Large Wireless Networks: Bounds on the Minimum Energy per Bit CoRR abs/0905.3858: (2009)
77		Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor: Cooperative Training for Attribute-Distributed Data: Trade-off Between Data Transmission and Performance CoRR abs/0907.5141: (2009)
76		Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor: Collaborative Training in Sensor Networks: A graphical model approach CoRR abs/0907.5168: (2009)
75		Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú: Universal Estimation of Information Measures for Analog Sources. Foundations and Trends in Communications and Information Theory 5(3): 265-353 (2009)
74		Joel B. Predd, Robert Seiringer, Elliott H. Lieb, Daniel N. Osherson, H. Vincent Poor, Sanjeev R. Kulkarni: Probabilistic coherence and proper scoring rules. IEEE Transactions on Information Theory 55(10): 4786-4792 (2009)
73		Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor: A Collaborative Training Algorithm for Distributed Learning. IEEE Transactions on Information Theory 55(4): 1856-1871 (2009)
72		Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Finding all small error-prone substructures in LDPC codes. IEEE Transactions on Information Theory 55(5): 1976-1999 (2009)
71		Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú: Divergence estimation for multidimensional densities via k-nearest-neighbor distances. IEEE Transactions on Information Theory 55(5): 2392-2405 (2009)
70		Jing Deng, Yunghsiang S. Han, Sanjeev R. Kulkarni: Can multiple subchannels improve the delay performance of RTS/CTS-based MAC schemes? IEEE Transactions on Wireless Communications 8(4): 1591-1596 (2009)
	2008
69		Haipeng Zheng, Sanjeev R. Kulkarni, H. Vincent Poor: Dimensionally Distributed Learning: Models and Algorithm CoRR abs/0807.3050: (2008)
68		Joel B. Predd, Daniel N. Osherson, Sanjeev R. Kulkarni, H. Vincent Poor: Aggregating Probabilistic Forecasts from Incoherent and Abstaining Experts. Decision Analysis 5(4): 177-189 (2008)
67		Hua Li, Patricia R. Barbosa, Edwin K. P. Chong, Jan Hannig, Sanjeev R. Kulkarni: Zero-error target tracking with limited communication. IEEE Journal on Selected Areas in Communications 26(4): 686-694 (2008)
	2007
66		Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni: A Better Good-Turing Estimator for Sequence Probabilities CoRR abs/0704.1455: (2007)
65		C.-C. Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Finite-Dimensional Bounds on BBZm and Binary LDPC Codes With Belief Propagation Decoders. IEEE Transactions on Information Theory 53(1): 56-81 (2007)
64		Aurelie C. Lozano, Sanjeev R. Kulkarni, Pramod Viswanath: Throughput scaling in wireless networks with restricted mobility. IEEE Transactions on Wireless Communications 6(2): 670-679 (2007)
	2006
63		Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor: Distributed Kernel Regression: An Algorithm for Training Collaboratively CoRR abs/cs/0601089: (2006)
62		Joel B. Predd, Sanjeev R. Kulkarni, Daniel N. Osherson, H. Vincent Poor: Scalable Algorithms for Aggregating Disparate Forecasts of Probability CoRR abs/cs/0601131: (2006)
61		Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Upper Bounding the Performance of Arbitrary Finite LDPC Codes on Binary Erasure Channels CoRR abs/cs/0605086: (2006)
60		Aaron B. Wagner, Pramod Viswanath, Sanjeev R. Kulkarni: Strong Consistency of the Good-Turing Estimator CoRR abs/cs/0607014: (2006)
59		Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Exhausting Error-Prone Patterns in LDPC Codes CoRR abs/cs/0609046: (2006)
58		Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Finite-Dimensional Bounds on Zm and Binary LDPC Codes with Belief Propagation Decoders CoRR abs/cs/0610052: (2006)
57		Joel B. Predd, Sanjeev R. Kulkarni, Harold Vincent Poor: Consistency in models for distributed learning under communication constraints. IEEE Transactions on Information Theory 52(1): 52-63 (2006)
56		Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú: Universal Divergence Estimation for Finite-Alphabet Sources. IEEE Transactions on Information Theory 52(8): 3456-3475 (2006)
55		Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú: An Algorithm for Universal Lossless Compression With Side Information. IEEE Transactions on Information Theory 52(9): 4008-4016 (2006)
54		Jan Hannig, Edwin K. P. Chong, Sanjeev R. Kulkarni: Relative Frequencies of Generalized Simulated Annealing. Math. Oper. Res. 31(1): 199-216 (2006)
	2005
53		Aurelie C. Lozano, Sanjeev R. Kulkarni, Robert E. Schapire: Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations. NIPS 2005
52		Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Bandit Problems with Side Observations CoRR abs/cs/0501063: (2005)
51		Chih-Chun Wang, H. Vincent Poor, Sanjeev R. Kulkarni: On the Typicality of the Linear Code Among the LDPC Coset Code Ensemble CoRR abs/cs/0502084: (2005)
50		Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor: Consistency in Models for Distributed Learning under Communication Constraints CoRR abs/cs/0503071: (2005)
49		Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor: Distributed Learning in Wireless Sensor Networks CoRR abs/cs/0503072: (2005)
48		Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor: Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections CoRR abs/cs/0507039: (2005)
47		C.-C. Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Density Evolution for Asymmetric Memoryless Channels CoRR abs/cs/0509014: (2005)
46		Chih-Chun Wang, Sanjeev R. Kulkarni, H. Vincent Poor: Density evolution for asymmetric memoryless channels. IEEE Transactions on Information Theory 51(12): 4216-4236 (2005)
45		Qing Wang, Sanjeev R. Kulkarni, Sergio Verdú: Divergence Estimation of Continuous Distributions Based on Data-Dependent Partitions. IEEE Transactions on Information Theory 51(9): 3064-3074 (2005)
	2004
44		Joel B. Predd, Sanjeev R. Kulkarni, Harold Vincent Poor: Consistency in Models for Communication Constrained Distributed Learning. COLT 2004: 442-456
43		Aleksandar Jovicic, Pramod Viswanath, Sanjeev R. Kulkarni: Upper bounds to transport capacity of wireless networks. IEEE Transactions on Information Theory 50(11): 2555-2565 (2004)
42		Alex Reznik, Sanjeev R. Kulkarni, Sergio Verdú: Degraded Gaussian multirelay channel: capacity and optimal power allocation. IEEE Transactions on Information Theory 50(12): 3037-3046 (2004)
41		Sanjeev R. Kulkarni, Pramod Viswanath: A Deterministic Approach to Throughput Scaling in Wireless Networks. IEEE Transactions on Information Theory 50(6): 1041-1049 (2004)
40		Haixiao Cai, Sanjeev R. Kulkarni, Sergio Verdú: Universal entropy estimation via block sorting. IEEE Transactions on Information Theory 50(7): 1551-1561 (2004)
	2003
39		Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo: Efficiently synthesizing virtual video. IEEE Trans. Circuits Syst. Video Techn. 13(4): 325-337 (2003)
	2002
38		Sanjeev R. Kulkarni, S. E. Posner, S. Sandilya: Data-dependent kn-NN and kernel estimators consistent for arbitrary processes. IEEE Transactions on Information Theory 48(10): 2785-2788 (2002)
37		S. Sandilya, Sanjeev R. Kulkarni: Principal curves with bounded turn. IEEE Transactions on Information Theory 48(10): 2789-2793 (2002)
36		Michelle Effros, Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú: Universal lossless source coding with the Burrows Wheeler Transform. IEEE Transactions on Information Theory 48(5): 1061-1081 (2002)
	2001
35		Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo: Using view interpolation for low bit rate video. ICIP (1) 2001: 453-456
34		Richard J. Radke, Vitali Zagorodnov, Sanjeev R. Kulkarni, Peter J. Ramadge: Estimating Correspondence in Digital Video. ITCC 2001: 196-201
33		Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú: Universal variable-to-fixed length source codes. IEEE Transactions on Information Theory 47(4): 1461-1472 (2001)
	2000
32		Richard J. Radke, Peter J. Ramadge, Sanjeev R. Kulkarni, Tomio Echigo, Shun-ichi Iisaku: Recursive Propagation of Correspondences with Applications to the Creation of Virtual Video. ICIP 2000
31		Yap-Peng Tan, Drew D. Saur, Sanjeev R. Kulkarni, Peter J. Ramadge: Rapid estimation of camera motion from compressed video with application to video annotation. IEEE Trans. Circuits Syst. Video Techn. 10(1): 133-146 (2000)
30		Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú: Universal coding of nonstationary sources. IEEE Transactions on Information Theory 46(4): 1633-1637 (2000)
29		Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú: Separation of random number generation and resolvability. IEEE Transactions on Information Theory 46(6): 2237-2241 (2000)
28		Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni: Learning Changing Concepts by Exploiting the Structure of Change. Machine Learning 41(2): 153-174 (2000)
	1999
27		Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge: A Framework for Measuring Video Similarity and Its Application to Video Query by Example. ICIP (2) 1999: 106-110
26		Edwin K. P. Chong, I-Jeng Wang, Sanjeev R. Kulkarni: Noise Conditions for Prespecified Convergence Rates of Stochastic Approximation Algorithms. IEEE Transactions on Information Theory 45(2): 810-814 (1999)
	1998
25		S. Di Gennaro, C. Horn, Sanjeev R. Kulkarni, Peter J. Ramadge: Reduction of Timed Hybrid Systems. Discrete Event Dynamic Systems 8(4): 343-351 (1998)
24		Karthik Visweswariah, Sanjeev R. Kulkarni, Sergio Verdú: Source Codes as Random Number Generators. IEEE Transactions on Information Theory 44(2): 462-471 (1998)
23		Andrew B. Nobel, Gusztáv Morvai, Sanjeev R. Kulkarni: Density Estimation from an Individual Numerical Sequence. IEEE Transactions on Information Theory 44(2): 537-541 (1998)
22		Sanjeev R. Kulkarni, Gábor Lugosi, Santosh S. Venkatesh: Learning Pattern Classification - A Survey. IEEE Transactions on Information Theory 44(6): 2178-2206 (1998)
	1997
21		Drew D. Saur, Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge: Automated Analysis and Annotation of Basketball Video. Storage and Retrieval for Image and Video Databases (SPIE) 1997: 176-187
20		Sanjeev R. Kulkarni, M. Vidyasagar: Learning decision rules for pattern classification under a family of probability measures. IEEE Transactions on Information Theory 43(1): 154-166 (1997)
19		Peter L. Bartlett, Sanjeev R. Kulkarni, S. E. Posner: Covering numbers for real-valued function classes. IEEE Transactions on Information Theory 43(5): 1721-1724 (1997)
	1996
18		Peter L. Bartlett, Shai Ben-David, Sanjeev R. Kulkarni: Learning Changing Concepts by Exploiting the Structure of Change. COLT 1996: 131-139
17		Song Wang, Bede Liu, Sanjeev R. Kulkarni: Model-based reconstruction of multiple circular and elliptical objects from a limited number of projections. IEEE Transactions on Image Processing 5(9): 1386-1390 (1996)
16		Wai-Man Lam, Sanjeev R. Kulkarni: Extended synchronizing codewords for binary prefix codes. IEEE Transactions on Information Theory 42(3): 984-987 (1996)
15		William Clement Karl, Sanjeev R. Kulkarni, George C. Verghese, Alan S. Willsky: Local tests for consistency of support hyperplane data. Journal of Mathematical Imaging and Vision 6(2-3): 249-267 (1996)
	1995
14		J. S. Lerman, Sanjeev R. Kulkarni: Convex shape reconstruction from noisy ray probe measurements. ICIP 1995: 254-257
13		Yap-Peng Tan, Sanjeev R. Kulkarni, Peter J. Ramadge: A new method for camera motion parameter estimation. ICIP 1995: 406-409
12		Sanjeev R. Kulkarni, S. E. Posner: Rates of convergence of nearest neighbor estimation under arbitrary sampling. IEEE Transactions on Information Theory 41(4): 1028-1039 (1995)
	1994
11		J. S. Lerman, Sanjeev R. Kulkarni, Jack Koplowitz: Multiresolution Chain Coding of Contours. ICIP (2) 1994: 615-619
10		Song Wang, Bede Liu, Sanjeev R. Kulkarni: Image Reconstruction from a Limited Number of Projections: Detection/Estimation of Multiple Discs with Unknown RadII. ICIP (2) 1994: 854-858
9		Sanjeev R. Kulkarni, Sanjoy K. Mitter, T. J. Richardson, John N. Tsitsiklis: Local Versus Nonlocal Computation of Length of Digitized Curves. IEEE Trans. Pattern Anal. Mach. Intell. 16(7): 711-718 (1994)
8		Sanjeev R. Kulkarni, David N. C. Tse: A paradigm for class identification problems. IEEE Transactions on Information Theory 40(3): 696-705 (1994)
7		R. M. Dudley, Sanjeev R. Kulkarni, T. J. Richardson, Ofer Zeitouni: A metric entropy bound is not sufficient for learnability. IEEE Transactions on Information Theory 40(3): 883-885 (1994)
	1993
6		Sanjeev R. Kulkarni, Ofer Zeitouni: On Probably Correct Classification of Concepts. COLT 1993: 111-116
5		S. E. Posner, Sanjeev R. Kulkarni: On-Line Learning of Functions of Bounded Variation under Various Sampling Schemes. COLT 1993: 439-445
4		Sanjeev R. Kulkarni, Sanjoy K. Mitter, T. J. Richardson, John N. Tsitsiklis: Local Versus Non-local Computation of Length of Digitized Curves. FSTTCS 1993: 94-103
3		Sanjeev R. Kulkarni, Sanjoy K. Mitter, John N. Tsitsiklis, Ofer Zeitouni: PAC Learning with Generalized Samples and an Applicaiton to Stochastic Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 15(9): 933-942 (1993)
2		Sanjeev R. Kulkarni, Sanjoy K. Mitter, John N. Tsitsiklis: Active Learning Using Arbitrary Binary Valued Queries. Machine Learning 11: 23-35 (1993)
	1992
1		Sanjeev R. Kulkarni, John N. Tsitsiklis, Sanjoy K. Mitter, Ofer Zeitouni: PAC Learning With Generalized Samples and an Application to Stochastic Geometry. COLT 1992: 172-179

Coauthor Index

1	Patricia R. Barbosa	[67]
2	Peter L. Bartlett	[18] [19] [28]
3	Shai Ben-David	[18] [28]
4	Thomas Buchgraber	[86] [94]
5	Haixiao Cai	[40] [55] [56]
6	A. Robert Calderbank	[93]
7	Edwin K. P. Chong	[26] [54] [67]
8	Paul Cuff	[92]
9	Jing Deng	[70]
10	R. M. Dudley	[7]
11	Tomio Echigo	[32] [35] [39]
12	Michelle Effros	[36]
13	S. Di Gennaro	[25]
14	Deniz Gündüz	[84] [99]
15	Yunghsiang Sam Han (Yunghsiang S. Han)	[70]
16	Jan Hannig	[54] [67]
17	C. Horn	[25]
18	Pan Hui	[92]
19	Shun-ichi Iisaku	[32]
20	Aman Jain	[78] [80] [83] [84] [89] [90] [99]
21	Aleksandar Jovicic	[43]
22	William Clement Karl (W. Clem Karl)	[15]
23	Jack Koplowitz	[11]
24	Wai-Man Lam	[16]
25	J. S. Lerman	[11] [14]
26	Hua Li	[67]
27	Elliott H. Lieb	[74]
28	Bede Liu	[10] [17]
29	Aurelie C. Lozano	[53] [64]
30	Gábor Lugosi	[22]
31	Sanjoy K. Mitter	[1] [2] [3] [4] [9]
32	Gusztáv Morvai	[23]
33	Andrew B. Nobel	[23]
34	Daniel N. Osherson	[62] [68] [74] [91] [96]
35	Fernando Pérez-Cruz	[79]
36	H. Vincent Poor (Harold Vincent Poor)	[44] [46] [47] [48] [49] [50] [51] [52] [57] [58] [59] [61] [62] [63] [65] [68] [69] [72] [73] [74] [76] [77] [81] [82] [84] [85] [86] [87] [91] [93] [94] [95] [96] [97] [98] [99]
37	S. E. Posner	[5] [12] [19] [38]
38	Joel B. Predd	[44] [48] [49] [50] [57] [62] [63] [68] [73] [74]
39	Richard J. Radke	[32] [34] [35] [39]
40	Peter J. Ramadge	[13] [21] [25] [27] [31] [32] [34] [35] [39]
41	Alex Reznik	[42]
42	T. J. Richardson	[4] [7] [9]
43	S. Sandilya	[37] [38]
44	Drew D. Saur	[21] [31]
45	Robert E. Schapire	[53]
46	Robert Seiringer	[74]
47	Shang Shang	[92]
48	Dmitriy Shutin	[86] [94] [98]
49	Yap-Peng Tan	[13] [21] [27] [31]
50	David N. C. Tse (David Tse)	[8]
51	John N. Tsitsiklis	[1] [2] [3] [4] [9]
52	Santosh S. Venkatesh	[22]
53	Sergio Verdú	[24] [29] [30] [33] [36] [40] [42] [45] [55] [56] [71] [75] [78] [80] [83] [84] [89] [90] [99]
54	George C. Verghese	[15]
55	M. Vidyasagar	[20]
56	Pramod Viswanath	[41] [43] [60] [64] [66] [88]
57	Karthik Visweswariah	[24] [29] [30] [33] [36]
58	Aaron B. Wagner	[60] [66] [88]
59	C.-C. Wang	[47] [65]
60	Chih-Chun Wang	[46] [51] [52] [58] [59] [61] [72]
61	Guanchun Wang	[81] [91] [96]
62	I-Jeng Wang	[26]
63	Qing Wang	[45] [71] [75]
64	Song Wang	[10] [17]
65	Alan S. Willsky	[15]
66	Yiyue Wu	[93]
67	Jieqi Yu	[82] [97]
68	Vitali Zagorodnov	[34]
69	Christoph Zechner	[98]
70	Ofer Zeitouni	[1] [3] [6] [7]
71	Haipeng Zheng	[69] [76] [77] [82] [85] [87] [93] [95]

Colors in the list of coauthors

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