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Travelled to:
1 × Austria
1 × Canada
1 × Greece
1 × Singapore
1 × Spain
1 × United Kingdom
14 × USA
Collaborated with:
R.Panigrahy K.Li K.Makarychev Y.Makarychev A.Bhaskara A.Vijayaraghavan A.Agarwal W.Dong Q.Lv S.Li V.Guruswami A.Karagiozova R.Motwani S.Guha C.Chekuri Z.Wang W.Josephson P.Raghavan M.Bateni N.Alon N.Ailon A.Newman L.O'Callaghan K.C.Chen M.Farach-Colton P.Indyk Y.Bartal D.Raz S.Khuller B.Raghavachari A.Sahai A.Moitra R.Manokaran S.Chaudhuri V.R.Narasayya É.Tardos D.B.Shmoys A.Z.Broder A.M.Frieze M.Mitzenmacher A.Goel T.Feder E.Chlamtac U.Feige R.Kumar S.Rajagopalan A.Tomkins R.Fagin J.M.Kleinberg E.Lehman D.Liu M.Prabhakaran A.Rasala A.Shelat
Talks about:
algorithm (8) approxim (7) problem (6) cluster (6) min (5) similar (4) search (4) median (3) inform (3) round (3)

Person: Moses Charikar

DBLP DBLP: Charikar:Moses

Contributed to:

STOC 20142014
ICALP (1) 20122012
STOC 20102010
STOC 20092009
CIKM 20082008
SIGIR 20082008
STOC 20072007
VLDB 20072007
STOC 20062006
STOC 20052005
CIKM 20042004
STOC 20032003
ICALP 20022002
STOC 20022002
STOC 20012001
PODS 20002000
STOC 20002000
STOC 19991999
STOC 19981998
STOC 19971997

Wrote 30 papers:

STOC-2014-BhaskaraCMV #analysis
Smoothed analysis of tensor decompositions (AB, MC, AM, AV), pp. 594–603.
ICALP-v1-2012-BhaskaraCMV #on the #polynomial #programming
On Quadratic Programming with a Ratio Objective (AB, MC, RM, AV), pp. 109–120.
ICALP-v1-2012-CharikarL #approach #problem
A Dependent LP-Rounding Approach for the k-Median Problem (MC, SL), pp. 194–205.
STOC-2010-BhaskaraCCFV #approximate #detection
Detecting high log-densities: an O(n1/4) approximation for densest k-subgraph (AB, MC, EC, UF, AV), pp. 201–210.
STOC-2009-BateniCG #bound
MaxMin allocation via degree lower-bounded arborescences (MB, MC, VG), pp. 543–552.
STOC-2009-CharikarMM
Integrality gaps for Sherali-Adams relaxations (MC, KM, YM), pp. 283–292.
CIKM-2008-DongWJCL #modelling #performance
Modeling LSH for performance tuning (WD, ZW, WJ, MC, KL), pp. 669–678.
SIGIR-2008-DongCL #distance #estimation #similarity #sketching #symmetry
Asymmetric distance estimation with sketches for similarity search in high-dimensional spaces (WD, MC, KL), pp. 123–130.
STOC-2007-AgarwalAC #approximate #problem
Improved approximation for directed cut problems (AA, NA, MC), pp. 671–680.
VLDB-2007-LvJWCL #multi #performance #similarity
Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search (QL, WJ, ZW, MC, KL), pp. 950–961.
STOC-2006-CharikarMM #algorithm #game studies
Near-optimal algorithms for unique games (MC, KM, YM), pp. 205–214.
STOC-2005-AgarwalCMM #algorithm #approximate #problem
O(sqrt(log n)) approximation algorithms for min UnCut, min 2CNF deletion, and directed cut problems (AA, MC, KM, YM), pp. 573–581.
STOC-2005-AilonCN #clustering #consistency #ranking
Aggregating inconsistent information: ranking and clustering (NA, MC, AN), pp. 684–693.
STOC-2005-CharikarK #design #multi #network #on the
On non-uniform multicommodity buy-at-bulk network design (MC, AK), pp. 176–182.
CIKM-2004-LvCL #data type #image #similarity
Image similarity search with compact data structures (QL, MC, KL), pp. 208–217.
STOC-2003-CharikarOP #algorithm #clustering #problem #streaming
Better streaming algorithms for clustering problems (MC, LO, RP), pp. 30–39.
ICALP-2002-CharikarCF #data type
Finding Frequent Items in Data Streams (MC, KCC, MFC), pp. 693–703.
ICALP-2002-CharikarIP #algorithm #orthogonal #problem #query #set
New Algorithms for Subset Query, Partial Match, Orthogonal Range Searching, and Related Problems (MC, PI, RP), pp. 451–462.
STOC-2002-Charikar #algorithm #estimation #similarity
Similarity estimation techniques from rounding algorithms (MC), pp. 380–388.
STOC-2002-CharikarLLPPRSS #approximate #complexity #modelling
Approximating the smallest grammar: Kolmogorov complexity in natural models (MC, EL, DL, RP, MP, AR, AS, AS), pp. 792–801.
STOC-2001-BartalCR #approximate #clustering #metric
Approximating min-sum k-clustering in metric spaces (YB, MC, DR), pp. 11–20.
STOC-2001-CharikarP #clustering
Clustering to minimize the sum of cluster diameters (MC, RP), pp. 1–10.
PODS-2000-CharikarCMN #estimation #fault #towards
Towards Estimation Error Guarantees for Distinct Values (MC, SC, RM, VRN), pp. 268–279.
STOC-2000-CharikarFGKRS #query
Query strategies for priced information (MC, RF, VG, JMK, PR, AS), pp. 582–591.
STOC-1999-CharikarGTS #algorithm #approximate #problem
A Constant-Factor Approximation Algorithm for the k-Median Problem (MC, SG, ÉT, DBS), pp. 1–10.
STOC-1999-CharikarKRRT #markov #on the
On targeting Markov segments (MC, RK, PR, SR, AT), pp. 99–108.
STOC-1998-BroderCFM #independence #permutation
Min-Wise Independent Permutations (AZB, MC, AMF, MM), pp. 327–336.
STOC-1998-CharikarCGG #algorithm #approximate
Rounding via Trees: Deterministic Approximation Algorithms for Group Steiner Trees and k-Median (MC, CC, AG, SG), pp. 114–123.
STOC-1998-CharikarKR #algorithm
Algorithms for Capacitated Vehicle Routing (MC, SK, BR), pp. 349–358.
STOC-1997-CharikarCFM #clustering #incremental #information management #information retrieval
Incremental Clustering and Dynamic Information Retrieval (MC, CC, TF, RM), pp. 626–635.

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