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Moses Charikar
Person information
- affiliation: Stanford University, USA
- affiliation (former): Princeton University, USA
- award (2012): Paris Kanellakis Award
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2020 – today
- 2024
- [c138]Kexin Rong, Paul Liu, Sarah Ashok Sonje, Moses Charikar:
Dynamic Data Layout Optimization with Worst-Case Guarantees. ICDE 2024: 4288-4301 - [c137]Moses Charikar, Kangning Wang, Prasanna Ramakrishnan, Hongxun Wu:
Breaking the Metric Voting Distortion Barrier. SODA 2024: 1621-1640 - [c136]Moses Charikar, Ruiquan Gao:
Improved Approximations for Ultrametric Violation Distance. SODA 2024: 1704-1737 - [c135]Moses Charikar, Michael Kapralov, Erik Waingarten:
A Quasi-Monte Carlo Data Structure for Smooth Kernel Evaluations. SODA 2024: 5118-5144 - [i69]Moses Charikar, Michael Kapralov, Erik Waingarten:
A Quasi-Monte Carlo Data Structure for Smooth Kernel Evaluations. CoRR abs/2401.02562 (2024) - [i68]Soheil Behnezhad, Moses Charikar, Vincent Cohen-Addad, Alma Ghafari, Weiyun Ma:
Fully Dynamic Correlation Clustering: Breaking 3-Approximation. CoRR abs/2404.06797 (2024) - [i67]Kexin Rong, Paul Liu, Sarah Ashok Sonje, Moses Charikar:
Dynamic Data Layout Optimization with Worst-case Guarantees. CoRR abs/2405.04984 (2024) - [i66]Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur:
Quantifying the Gain in Weak-to-Strong Generalization. CoRR abs/2405.15116 (2024) - 2023
- [c134]Moses Charikar, Beidi Chen, Christopher Ré, Erik Waingarten:
Fast Algorithms for a New Relaxation of Optimal Transport. COLT 2023: 4831-4862 - [c133]Moses Charikar, Monika Henzinger, Lunjia Hu, Maximilian Vötsch, Erik Waingarten:
Simple, Scalable and Effective Clustering via One-Dimensional Projections. NeurIPS 2023 - [c132]Nima Anari, Moses Charikar, Prasanna Ramakrishnan:
Distortion in metric matching with ordinal preferences. EC 2023: 90-110 - [c131]Soheil Behnezhad, Moses Charikar, Weiyun Ma, Li-Yang Tan:
Single-Pass Streaming Algorithms for Correlation Clustering. SODA 2023: 819-849 - [c130]Moses Charikar, Chirag Pabbaraju:
A Characterization of List Learnability. STOC 2023: 1713-1726 - [i65]Nima Anari, Moses Charikar, Prasanna Ramakrishnan:
Distortion in metric matching with ordinal preferences. CoRR abs/2305.12119 (2023) - [i64]Moses Charikar, Prasanna Ramakrishnan, Kangning Wang, Hongxun Wu:
Breaking the Metric Voting Distortion Barrier. CoRR abs/2306.17838 (2023) - [i63]Moses Charikar, Beidi Chen, Christopher Ré, Erik Waingarten:
Fast Algorithms for a New Relaxation of Optimal Transport. CoRR abs/2307.10042 (2023) - [i62]Moses Charikar, Monika Henzinger, Lunjia Hu, Maximilian Vötsch, Erik Waingarten:
Simple, Scalable and Effective Clustering via One-Dimensional Projections. CoRR abs/2310.16752 (2023) - [i61]Moses Charikar, Ruiquan Gao:
Improved Approximations for Ultrametric Violation Distance. CoRR abs/2311.04533 (2023) - [i60]Moses Charikar, Spencer Compton, Chirag Pabbaraju:
Average-Case Dimensionality Reduction in 𝓁1: Tree Ising Models. CoRR abs/2312.02435 (2023) - 2022
- [j32]Xian Wu, Moses Charikar, Vishnu Natchu:
Local Density Estimation in High Dimensions. Math. Oper. Res. 47(4): 2614-2640 (2022) - [c129]Soheil Behnezhad, Moses Charikar, Weiyun Ma, Li-Yang Tan:
Almost 3-Approximate Correlation Clustering in Constant Rounds. FOCS 2022: 720-731 - [c128]Moses Charikar, Erik Waingarten:
Polylogarithmic Sketches for Clustering. ICALP 2022: 38:1-38:20 - [c127]Moses Charikar, Zhihao Jiang, Kirankumar Shiragur, Aaron Sidford:
On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood. NeurIPS 2022 - [c126]Moses Charikar, Lunjia Hu:
Near-Optimal Explainable k-Means for All Dimensions. SODA 2022: 2580-2606 - [c125]Moses Charikar, Prasanna Ramakrishnan:
Metric Distortion Bounds for Randomized Social Choice. SODA 2022: 2986-3004 - [i59]Moses Charikar, Erik Waingarten:
Polylogarithmic Sketches for Clustering. CoRR abs/2204.12358 (2022) - [i58]Moses Charikar, Erik Waingarten:
The Johnson-Lindenstrauss Lemma for Clustering and Subspace Approximation: From Coresets to Dimension Reduction. CoRR abs/2205.00371 (2022) - [i57]Soheil Behnezhad, Moses Charikar, Weiyun Ma, Li-Yang Tan:
Almost 3-Approximate Correlation Clustering in Constant Rounds. CoRR abs/2205.03710 (2022) - [i56]Moses Charikar, Paul Liu, Tianyu Liu, Thuy-Duong Vuong:
On the Complexity of Sampling Redistricting Plans. CoRR abs/2206.04883 (2022) - [i55]Moses Charikar, Zhihao Jiang, Kirankumar Shiragur, Aaron Sidford:
On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood. CoRR abs/2210.06728 (2022) - [i54]Moses Charikar, Chirag Pabbaraju:
A Characterization of List Learnability. CoRR abs/2211.04956 (2022) - 2021
- [c124]Moses Charikar, Lunjia Hu:
Approximation Algorithms for Orthogonal Non-negative Matrix Factorization. AISTATS 2021: 2728-2736 - [c123]Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood. COLT 2021: 93-158 - [c122]Guy Blanc, Moses Charikar:
Multiway Online Correlated Selection. FOCS 2021: 1277-1284 - [c121]Moses Charikar, Shivam Garg, Deborah M. Gordon, Kirankumar Shiragur:
A Model for Ant Trail Formation and its Convergence Properties (Extended Abstract). ITCS 2021: 85:1-85:2 - [c120]Moses Charikar, Weiyun Ma, Li-Yang Tan:
Brief Announcement: A Randomness-efficient Massively Parallel Algorithm for Connectivity. PODC 2021: 431-433 - [c119]Moses Charikar, Paul Liu:
Improved Algorithms for Edge Colouring in the W-Streaming Model. SOSA 2021: 181-183 - [i53]Moses Charikar, Lunjia Hu:
Approximation Algorithms for Orthogonal Non-negative Matrix Factorization. CoRR abs/2103.01398 (2021) - [i52]Guy Blanc, Moses Charikar:
Multiway Online Correlated Selection. CoRR abs/2106.05579 (2021) - [i51]Moses Charikar, Lunjia Hu:
Near-Optimal Explainable k-Means for All Dimensions. CoRR abs/2106.15566 (2021) - [i50]Moses Charikar, Prasanna Ramakrishnan:
Metric Distortion Bounds for Randomized Social Choice. CoRR abs/2111.03694 (2021) - 2020
- [j31]Vladimir Braverman, Moses Charikar, William Kuszmaul, Lin F. Yang:
The one-way communication complexity of dynamic time warping distance. J. Comput. Geom. 11(2): 62-93 (2020) - [j30]Edward Gan, Peter Bailis, Moses Charikar:
CoopStore: Optimizing Precomputed Summaries for Aggregation. Proc. VLDB Endow. 13(11): 2174-2187 (2020) - [c118]Moses Charikar, Michael Kapralov, Navid Nouri, Paris Siminelakis:
Kernel Density Estimation through Density Constrained Near Neighbor Search. FOCS 2020: 172-183 - [c117]Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
Instance Based Approximations to Profile Maximum Likelihood. NeurIPS 2020 - [c116]Dan Garcia, Moses Charikar, Eboney Hearn, Ed Lazowska, Jonathan Reynolds:
Institutions Share Successes, Failures, and Advice in Moving the Diversity Needle. SIGCSE 2020: 331-332 - [c115]Moses Charikar, Xian Wu, Yinyu Ye:
Adaptive Discrete Phase Retrieval. SOSA 2020: 47-56 - [c114]Moses Charikar, Weiyun Ma, Li-Yang Tan:
Unconditional Lower Bounds for Adaptive Massively Parallel Computation. SPAA 2020: 141-151 - [c113]Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson:
Retrieving Top Weighted Triangles in Graphs. WSDM 2020: 295-303 - [i49]Moses Charikar, Weiyun Ma, Li-Yang Tan:
New lower bounds for Massively Parallel Computation from query complexity. CoRR abs/2001.01146 (2020) - [i48]Edward Gan, Peter Bailis, Moses Charikar:
Storyboard: Optimizing Precomputed Summaries for Aggregation. CoRR abs/2002.03063 (2020) - [i47]Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
A General Framework for Symmetric Property Estimation. CoRR abs/2003.00844 (2020) - [i46]Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
The Bethe and Sinkhorn Permanents of Low Rank Matrices and Implications for Profile Maximum Likelihood. CoRR abs/2004.02425 (2020) - [i45]Joshua Brakensiek, Moses Charikar, Aviad Rubinstein:
A Simple Sublinear Algorithm for Gap Edit Distance. CoRR abs/2007.14368 (2020) - [i44]Xian Wu, Moses Charikar:
Nearest Neighbor Search for Hyperbolic Embeddings. CoRR abs/2009.00836 (2020) - [i43]Moses Charikar, Paul Liu:
Improved Algorithms for Edge Colouring in the W-Streaming Model. CoRR abs/2010.14560 (2020) - [i42]Nima Anari, Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
Instance Based Approximations to Profile Maximum Likelihood. CoRR abs/2011.02761 (2020) - [i41]Moses Charikar, Michael Kapralov, Navid Nouri, Paris Siminelakis:
Kernel Density Estimation through Density Constrained Near Neighbor Search. CoRR abs/2011.06997 (2020) - [i40]Moses Charikar, Shivam Garg, Deborah M. Gordon, Kirankumar Shiragur:
A Model for Ant Trail Formation and its Convergence Properties. CoRR abs/2011.14722 (2020)
2010 – 2019
- 2019
- [c112]Moses Charikar, Vaggos Chatziafratis, Rad Niazadeh, Grigory Yaroslavtsev:
Hierarchical Clustering for Euclidean Data. AISTATS 2019: 2721-2730 - [c111]Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang:
Recovery Guarantees For Quadratic Tensors With Sparse Observations. AISTATS 2019: 3322-3332 - [c110]Vladimir Braverman, Moses Charikar, William Kuszmaul, David P. Woodruff, Lin F. Yang:
The One-Way Communication Complexity of Dynamic Time Warping Distance. SoCG 2019: 16:1-16:15 - [c109]Moses Charikar, Paris Siminelakis:
Multi-resolution Hashing for Fast Pairwise Summations. FOCS 2019: 769-792 - [c108]Paris Siminelakis, Kexin Rong, Peter Bailis, Moses Charikar, Philip Alexander Levis:
Rehashing Kernel Evaluation in High Dimensions. ICML 2019: 5789-5798 - [c107]Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
A General Framework for Symmetric Property Estimation. NeurIPS 2019: 12426-12436 - [c106]Moses Charikar, Vaggos Chatziafratis, Rad Niazadeh:
Hierarchical Clustering better than Average-Linkage. SODA 2019: 2291-2304 - [c105]Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
Efficient profile maximum likelihood for universal symmetric property estimation. STOC 2019: 780-791 - [c104]Paul Liu, Austin R. Benson, Moses Charikar:
Sampling Methods for Counting Temporal Motifs. WSDM 2019: 294-302 - [e3]Moses Charikar, Edith Cohen:
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, STOC 2019, Phoenix, AZ, USA, June 23-26, 2019. ACM 2019, ISBN 978-1-4503-6705-9 [contents] - [i39]Vladimir Braverman, Moses Charikar, William Kuszmaul, David P. Woodruff, Lin F. Yang:
The One-Way Communication Complexity of Dynamic Time Warping Distance. CoRR abs/1903.03520 (2019) - [i38]Moses Charikar, Kirankumar Shiragur, Aaron Sidford:
Efficient Profile Maximum Likelihood for Universal Symmetric Property Estimation. CoRR abs/1905.08448 (2019) - [i37]Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson:
Retrieving Top Weighted Triangles in Graphs. CoRR abs/1910.00692 (2019) - 2018
- [c103]Moses Charikar, Yonatan Naamad, Jennifer Rexford, X. Kelvin Zou:
Multi-commodity Flow with In-Network Processing. ALGOCLOUD 2018: 73-101 - [c102]Arturs Backurs, Moses Charikar, Piotr Indyk, Paris Siminelakis:
Efficient Density Evaluation for Smooth Kernels. FOCS 2018: 615-626 - [c101]Moses Charikar, Shay Solomon:
Fully Dynamic Almost-Maximal Matching: Breaking the Polynomial Worst-Case Time Barrier. ICALP 2018: 33:1-33:14 - [c100]Moses Charikar, Ofir Geri, Michael P. Kim, William Kuszmaul:
On Estimating Edit Distance: Alignment, Dimension Reduction, and Embeddings. ICALP 2018: 34:1-34:14 - [c99]Vaggos Chatziafratis, Rad Niazadeh, Moses Charikar:
Hierarchical Clustering with Structural Constraints. ICML 2018: 773-782 - [c98]Xian Wu, Moses Charikar, Vishnu Natchu:
Local Density Estimation in High Dimensions. ICML 2018: 5293-5301 - [c97]Jacob Steinhardt, Moses Charikar, Gregory Valiant:
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers. ITCS 2018: 45:1-45:21 - [i36]Moses Charikar, Yonatan Naamad, Jimmy Wu:
On Finding Dense Common Subgraphs. CoRR abs/1802.06361 (2018) - [i35]Moses Charikar, Yonatan Naamad, Jennifer Rexford, X. Kelvin Zou:
Multi-Commodity Flow with In-Network Processing. CoRR abs/1802.09118 (2018) - [i34]Moses Charikar, Ofir Geri, Michael P. Kim, William Kuszmaul:
On Estimating Edit Distance: Alignment, Dimension Reduction, and Embeddings. CoRR abs/1804.09907 (2018) - [i33]Vaggos Chatziafratis, Rad Niazadeh, Moses Charikar:
Hierarchical Clustering with Structural Constraints. CoRR abs/1805.09476 (2018) - [i32]Moses Charikar, Paris Siminelakis:
Multi-Resolution Hashing for Fast Pairwise Summations. CoRR abs/1807.07635 (2018) - [i31]Moses Charikar, Vaggos Chatziafratis, Rad Niazadeh:
Hierarchical Clustering better than Average-Linkage. CoRR abs/1808.02227 (2018) - [i30]Moses Charikar, Paris Siminelakis:
Hashing-Based-Estimators for Kernel Density in High Dimensions. CoRR abs/1808.10530 (2018) - [i29]Xian Wu, Moses Charikar, Vishnu Natchu:
Local Density Estimation in High Dimensions. CoRR abs/1809.07471 (2018) - [i28]Paul Liu, Austin R. Benson, Moses Charikar:
A sampling framework for counting temporal motifs. CoRR abs/1810.00980 (2018) - [i27]Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang:
Recovery Guarantees for Quadratic Tensors with Limited Observations. CoRR abs/1811.00148 (2018) - [i26]Moses Charikar, Vaggos Chatziafratis, Rad Niazadeh, Grigory Yaroslavtsev:
Hierarchical Clustering for Euclidean Data. CoRR abs/1812.10582 (2018) - 2017
- [j29]Qin Lv, William Josephson, Zhe Wang, Moses Charikar, Kai Li:
Intelligent Probing for Locality Sensitive Hashing: Multi-Probe LSH and Beyond. Proc. VLDB Endow. 10(12): 2021-2024 (2017) - [c96]Itai Ashlagi, Yossi Azar, Moses Charikar, Ashish Chiplunkar, Ofir Geri, Haim Kaplan, Rahul Makhijani, Yuyi Wang, Roger Wattenhofer:
Min-Cost Bipartite Perfect Matching with Delays. APPROX-RANDOM 2017: 1:1-1:20 - [c95]Yuchen Zhang, Percy Liang, Moses Charikar:
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics. COLT 2017: 1980-2022 - [c94]Moses Charikar, Paris Siminelakis:
Hashing-Based-Estimators for Kernel Density in High Dimensions. FOCS 2017: 1032-1043 - [c93]Moses Charikar, Neha Gupta, Roy Schwartz:
Local Guarantees in Graph Cuts and Clustering. IPCO 2017: 136-147 - [c92]Moses Charikar, Vaggos Chatziafratis:
Approximate Hierarchical Clustering via Sparsest Cut and Spreading Metrics. SODA 2017: 841-854 - [c91]Moses Charikar, Jacob Steinhardt, Gregory Valiant:
Learning from untrusted data. STOC 2017: 47-60 - [i25]Yuchen Zhang, Percy Liang, Moses Charikar:
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics. CoRR abs/1702.05575 (2017) - [i24]Jacob Steinhardt, Moses Charikar, Gregory Valiant:
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers. CoRR abs/1703.04940 (2017) - [i23]Moses Charikar, Neha Gupta, Roy Schwartz:
Local Guarantees in Graph Cuts and Clustering. CoRR abs/1704.00355 (2017) - [i22]Moses Charikar, Shay Solomon:
Fully Dynamic Almost-Maximal Matching: Breaking the Polynomial Barrier for Worst-Case Time Bounds. CoRR abs/1711.06883 (2017) - 2016
- [c90]Moses Charikar, Yonatan Naamad, Anthony Wirth:
On Approximating Target Set Selection. APPROX-RANDOM 2016: 4:1-4:16 - [c89]Pranjal Awasthi, Moses Charikar, Ravishankar Krishnaswamy, Ali Kemal Sinop:
Spectral Embedding of k-Cliques, Graph Partitioning and k-Means. ITCS 2016: 301-310 - [c88]Jacob Steinhardt, Gregory Valiant, Moses Charikar:
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction. NIPS 2016: 4439-4447 - [p1]Moses Charikar:
Top-k Frequent Item Maintenance over Streams. Data Stream Management 2016: 103-119 - [i21]Jacob Steinhardt, Gregory Valiant, Moses Charikar:
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction. CoRR abs/1606.05374 (2016) - [i20]Moses Charikar, Vaggos Chatziafratis:
Approximate Hierarchical Clustering via Sparsest Cut and Spreading Metrics. CoRR abs/1609.09548 (2016) - [i19]Moses Charikar, Jacob Steinhardt, Gregory Valiant:
Learning from Untrusted Data. CoRR abs/1611.02315 (2016) - 2015
- [c87]Pranjal Awasthi, Moses Charikar, Kevin A. Lai, Andrej Risteski:
Label optimal regret bounds for online local learning. COLT 2015: 150-166 - [c86]Pranjal Awasthi, Moses Charikar, Ravishankar Krishnaswamy, Ali Kemal Sinop:
The Hardness of Approximation of Euclidean k-Means. SoCG 2015: 754-767 - [c85]Moses Samson Charikar:
Bypassing Worst Case Analysis: Tensor Decomposition and Clustering (Invited Talk). FSTTCS 2015: 1 - [c84]Pranjal Awasthi, Afonso S. Bandeira, Moses Charikar, Ravishankar Krishnaswamy, Soledad Villar, Rachel A. Ward:
Relax, No Need to Round: Integrality of Clustering Formulations. ITCS 2015: 191-200 - [i18]Pranjal Awasthi, Moses Charikar, Ravishankar Krishnaswamy, Ali Kemal Sinop:
The Hardness of Approximation of Euclidean k-means. CoRR abs/1502.03316 (2015) - [i17]Pranjal Awasthi, Moses Charikar, Kevin A. Lai, Andrej Risteski:
Label optimal regret bounds for online local learning. CoRR abs/1503.02193 (2015) - 2014
- [c83]Aditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan:
Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability. COLT 2014: 742-778 - [c82]Aditya Bhaskara, Moses Charikar, Ankur Moitra, Aravindan Vijayaraghavan:
Open Problem: Tensor Decompositions: Algorithms up to the Uniqueness Threshold? COLT 2014: 1280-1282 - [c81]Moses Charikar, Monika Henzinger, Huy L. Nguyen:
Online Bipartite Matching with Decomposable Weights. ESA 2014: 260-271 - [c80]Afonso S. Bandeira, Moses Charikar, Amit Singer, Andy Zhu:
Multireference alignment using semidefinite programming. ITCS 2014: 459-470 - [c79]Nikhil Bansal, Moses Charikar, Ravishankar Krishnaswamy, Shi Li:
Better Algorithms and Hardness for Broadcast Scheduling via a Discrepancy Approach. SODA 2014: 55-71 - [c78]Aditya Bhaskara, Moses Charikar, Ankur Moitra, Aravindan Vijayaraghavan:
Smoothed analysis of tensor decompositions. STOC 2014: 594-603 - [i16]Pranjal Awasthi, Afonso S. Bandeira, Moses Charikar, Ravishankar Krishnaswamy, Soledad Villar, Rachel A. Ward:
Relax, no need to round: integrality of clustering formulations. CoRR abs/1408.4045 (2014) - [i15]Moses Charikar, Monika Henzinger, Huy L. Nguyen:
Online Bipartite Matching with Decomposable Weights. CoRR abs/1409.2139 (2014) - 2013
- [i14]Aditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan:
Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability. CoRR abs/1304.8087 (2013) - [i13]Afonso S. Bandeira, Moses Charikar, Amit Singer, Andy Zhu:
Multireference Alignment using Semidefinite Programming. CoRR abs/1308.5256 (2013) - [i12]Aditya Bhaskara, Moses Charikar, Ankur Moitra, Aravindan Vijayaraghavan:
Smoothed Analysis of Tensor Decompositions. CoRR abs/1311.3651 (2013) - 2012
- [c77]Aditya Bhaskara, Moses Charikar, Rajsekar Manokaran, Aravindan Vijayaraghavan:
On Quadratic Programming with a Ratio Objective. ICALP (1) 2012: 109-120 - [c76]Moses Charikar, Shi Li:
A Dependent LP-Rounding Approach for the k-Median Problem. ICALP (1) 2012: 194-205 - [c75]Wei Dong, Zhe Wang, Moses Charikar, Kai Li:
High-confidence near-duplicate image detection. ICMR 2012: 1 - [c74]Aditya Bhaskara, Moses Charikar, Aravindan Vijayaraghavan, Venkatesan Guruswami, Yuan Zhou:
Polynomial integrality gaps for strong SDP relaxations of Densest k-subgraph. SODA 2012: 388-405 - 2011
- [j28]Moses Charikar, MohammadTaghi Hajiaghayi, Howard J. Karloff:
Improved Approximation Algorithms for Label Cover Problems. Algorithmica 61(1): 190-206 (2011) - [j27]Venkatesan Guruswami, Johan Håstad, Rajsekar Manokaran, Prasad Raghavendra, Moses Charikar:
Beating the Random Ordering Is Hard: Every Ordering CSP Is Approximation Resistant. SIAM J. Comput. 40(3): 878-914 (2011) - [j26]Nir Ailon, Moses Charikar:
Fitting Tree Metrics: Hierarchical Clustering and Phylogeny. SIAM J. Comput. 40(5): 1275-1291 (2011) - [c73]Alexandr Andoni, Moses Charikar, Ofer Neiman, Huy L. Nguyen:
Near Linear Lower Bound for Dimension Reduction in L1. FOCS 2011: 315-323 - [c72]Moses Charikar, Alantha Newman, Aleksandar Nikolov:
Tight Hardness Results for Minimizing Discrepancy. SODA 2011: 1607-1614 - [c71]Wei Dong, Moses Charikar, Kai Li:
Efficient k-nearest neighbor graph construction for generic similarity measures. WWW 2011: 577-586 - [i11]Aditya Bhaskara, Moses Charikar, Rajsekar Manokaran, Aravindan Vijayaraghavan:
On Quadratic Programming with a Ratio Objective. CoRR abs/1101.1710 (2011) - [i10]Aditya Bhaskara, Moses Charikar, Venkatesan Guruswami, Aravindan Vijayaraghavan, Yuan Zhou:
Polynomial integrality gaps for strong SDP relaxations of Densest k-subgraph. CoRR abs/1110.1360 (2011) - [i9]Venkatesan Guruswami, Johan Håstad, Rajsekar Manokaran, Prasad Raghavendra, Moses Charikar:
Beating the Random Ordering is Hard: Every ordering CSP is approximation resistant. Electron. Colloquium Comput. Complex. TR11 (2011) - 2010
- [j25]Moses Charikar, Mohammad Taghi Hajiaghayi, Howard J. Karloff, Satish Rao:
l22 Spreading Metrics for Vertex Ordering Problems. Algorithmica 56(4): 577-604 (2010) - [j24]Moses Charikar, Konstantin Makarychev, Yury Makarychev:
Local Global Tradeoffs in Metric Embeddings. SIAM J. Comput. 39(6): 2487-2512 (2010) - [c70]Moses Charikar, Tom Leighton, Shi Li, Ankur Moitra:
Vertex Sparsifiers and Abstract Rounding Algorithms. FOCS 2010: 265-274 - [c69]Aditya Bhaskara, Moses Charikar, Eden Chlamtac, Uriel Feige, Aravindan Vijayaraghavan:
Detecting high log-densities: an O(n1/4) approximation for densest k-subgraph. STOC 2010: 201-210 - [e2]Moses Charikar:
Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2010, Austin, Texas, USA, January 17-19, 2010. SIAM 2010, ISBN 978-0-89871-701-3 [contents] - [i8]Aditya Bhaskara, Moses Charikar, Eden Chlamtac, Uriel Feige, Aravindan Vijayaraghavan:
Detecting High Log-Densities -- an O(n^1/4) Approximation for Densest k-Subgraph. CoRR abs/1001.2891 (2010) - [i7]Prahladh Harsha, Moses Charikar, Matthew Andrews, Sanjeev Arora, Subhash Khot, Dana Moshkovitz, Lisa Zhang, Ashkan Aazami, Dev Desai, Igor Gorodezky, Geetha Jagannathan, Alexander S. Kulikov, Darakhshan J. Mir, Alantha Newman, Aleksandar Nikolov, David Pritchard, Gwen Spencer:
Limits of Approximation Algorithms: PCPs and Unique Games (DIMACS Tutorial Lecture Notes). CoRR abs/1002.3864 (2010) - [i6]Moses Charikar, Tom Leighton, Shi Li, Ankur Moitra:
Vertex Sparsifiers and Abstract Rounding Algorithms. CoRR abs/1006.4536 (2010)
2000 – 2009
- 2009
- [j23]Moses Charikar, Konstantin Makarychev, Yury Makarychev:
Near-optimal algorithms for maximum constraint satisfaction problems. ACM Trans. Algorithms 5(3): 32:1-32:14 (2009) - [c68]Moses Charikar, Venkatesan Guruswami, Rajsekar Manokaran:
Every Permutation CSP of arity 3 is Approximation Resistant. CCC 2009: 62-73 - [c67]Moses Charikar, MohammadTaghi Hajiaghayi, Howard J. Karloff:
Improved Approximation Algorithms for Label Cover Problems. ESA 2009: 23-34 - [c66]Moses Charikar, Konstantin Makarychev, Yury Makarychev:
Integrality gaps for Sherali-Adams relaxations. STOC 2009: 283-292 - [c65]MohammadHossein Bateni, Moses Charikar, Venkatesan Guruswami:
MaxMin allocation via degree lower-bounded arborescences. STOC 2009: 543-552 - 2008
- [j22]Nir Ailon, Moses Charikar, Alantha Newman:
Aggregating inconsistent information: Ranking and clustering. J. ACM 55(5): 23:1-23:27 (2008) - [c64]Wei Dong, Zhe Wang, William Josephson, Moses Charikar, Kai Li:
Modeling LSH for performance tuning. CIKM 2008: 669-678 - [c63]Wei Dong, Zhe Wang, Moses Charikar, Kai Li:
Efficiently matching sets of features with random histograms. ACM Multimedia 2008: 179-188 - [c62]Wei Dong, Moses Charikar, Kai Li:
Asymmetric distance estimation with sketches for similarity search in high-dimensional spaces. SIGIR 2008: 123-130 - [c61]Moses Charikar, Howard J. Karloff, Claire Mathieu, Joseph Naor, Michael E. Saks:
Online multicast with egalitarian cost sharing. SPAA 2008: 70-76 - 2007
- [c60]Zhe Wang, William K. Josephson, Qin Lv, Moses Charikar, Kai Li:
Filtering Image Spam with Near-Duplicate Detection. CEAS 2007 - [c59]Moses Charikar, Konstantin Makarychev, Yury Makarychev:
On the Advantage over Random for Maximum Acyclic Subgraph. FOCS 2007: 625-633 - [c58]Moses Charikar, Konstantin Makarychev, Yury Makarychev:
Local Global Tradeoffs in Metric Embeddings. FOCS 2007: 713-723 - [c57]Zhe Wang, Wei Dong, William Josephson, Qin Lv, Moses Charikar, Kai Li:
Sizing sketches: a rank-based analysis for similarity search. SIGMETRICS 2007: 157-168 - [c56]Moses Charikar, Konstantin Makarychev, Yury Makarychev:
Near-optimal algorithms for maximum constraint satisfaction problems. SODA 2007: 62-68 - [c55]Moses Charikar, Konstantin Makarychev, Yury Makarychev:
A divide and conquer algorithm for d-dimensional arrangement. SODA 2007: 541-546 - [c54]Amit Agarwal, Noga Alon, Moses Charikar:
Improved approximation for directed cut problems. STOC 2007: 671-680 - [c53]Qin Lv, William Josephson, Zhe Wang, Moses Charikar, Kai Li:
Multi-Probe LSH: Efficient Indexing for High-Dimensional Similarity Search . VLDB 2007: 950-961 - [e1]Moses Charikar, Klaus Jansen, Omer Reingold, José D. P. Rolim:
Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, 10th International Workshop, APPROX 2007, and 11th International Workshop, RANDOM 2007, Princeton, NJ, USA, August 20-22, 2007, Proceedings. Lecture Notes in Computer Science 4627, Springer 2007, ISBN 978-3-540-74207-4 [contents] - [i5]Moses Charikar, Konstantin Makarychev, Yury Makarychev:
On the Advantage over Random for Maximum Acyclic Subgraph. Electron. Colloquium Comput. Complex. TR07 (2007) - [i4]Moses Charikar, Konstantin Makarychev, Yury Makarychev:
Local Global Tradeoffs in Metric Embeddings. Electron. Colloquium Comput. Complex. TR07 (2007) - 2006
- [j21]Moses Charikar:
Guest editor's foreword. J. Comput. Syst. Sci. 72(5): 785 (2006) - [j20]Moses Charikar, Michel X. Goemans, Howard J. Karloff:
On the Integrality Ratio for the Asymmetric Traveling Salesman Problem. Math. Oper. Res. 31(2): 245-252 (2006) - [j19]Moses Charikar, Robert Krauthgamer:
Embedding the Ulam metric into l1. Theory Comput. 2(11): 207-224 (2006) - [c52]Qin Lv, William Josephson, Zhe Wang, Moses Charikar, Kai Li:
Ferret: a toolkit for content-based similarity search of feature-rich data. EuroSys 2006: 317-330 - [c51]Qin Lv, William Josephson, Zhe Wang, Moses Charikar, Kai Li:
Efficient filtering with sketches in the ferret toolkit. Multimedia Information Retrieval 2006: 279-288 - [c50]Moses Charikar, Konstantin Makarychev, Yury Makarychev:
Directed metrics and directed graph partitioning problems. SODA 2006: 51-60 - [c49]Moses Charikar, Samir Khuller:
A robust maximum completion time measure for scheduling. SODA 2006: 324-333 - [c48]Moses Charikar, Mohammad Taghi Hajiaghayi, Howard J. Karloff, Satish Rao:
l22 spreading metrics for vertex ordering problems. SODA 2006: 1018-1027 - [c47]Moses Charikar, Konstantin Makarychev, Yury Makarychev:
Near-optimal algorithms for unique games. STOC 2006: 205-214 - [i3]Moses Charikar, Konstantin Makarychev, Yury Makarychev:
Approximation Algorithm for the Max k-CSP Problem. Electron. Colloquium Comput. Complex. TR06 (2006) - [i2]Moses Charikar, Konstantin Makarychev, Yury Makarychev:
Note on MAX 2SAT. Electron. Colloquium Comput. Complex. TR06 (2006) - 2005
- [j18]Bo Brinkman, Moses Charikar:
On the impossibility of dimension reduction in l1. J. ACM 52(5): 766-788 (2005) - [j17]Moses Charikar, Venkatesan Guruswami, Anthony Wirth:
Clustering with qualitative information. J. Comput. Syst. Sci. 71(3): 360-383 (2005) - [j16]Moses Charikar, Sudipto Guha:
Improved Combinatorial Algorithms for Facility Location Problems. SIAM J. Comput. 34(4): 803-824 (2005) - [j15]Moses Charikar, Eric Lehman, Ding Liu, Rina Panigrahy, Manoj Prabhakaran, Amit Sahai, Abhi Shelat:
The smallest grammar problem. IEEE Trans. Inf. Theory 51(7): 2554-2576 (2005) - [c46]Moses Charikar, Chandra Chekuri, Martin Pál:
Sampling Bounds for Stochastic Optimization. APPROX-RANDOM 2005: 257-269 - [c45]Nir Ailon, Moses Charikar:
Fitting tree metrics: Hierarchical clustering and Phylogeny. FOCS 2005: 73-82 - [c44]Moses Charikar, Adriana Karagiozova:
A tight threshold for metric Ramsey phenomena. SODA 2005: 129-136 - [c43]Nikhil Bansal, Moses Charikar, Sanjeev Khanna, Joseph Naor:
Approximating the average response time in broadcast scheduling. SODA 2005: 215-221 - [c42]Moses Charikar, Adriana Karagiozova:
On non-uniform multicommodity buy-at-bulk network design. STOC 2005: 176-182 - [c41]Amit Agarwal, Moses Charikar, Konstantin Makarychev, Yury Makarychev:
O(sqrt(log n)) approximation algorithms for min UnCut, min 2CNF deletion, and directed cut problems. STOC 2005: 573-581 - [c40]Nir Ailon, Moses Charikar, Alantha Newman:
Aggregating inconsistent information: ranking and clustering. STOC 2005: 684-693 - 2004
- [j14]Moses Charikar, Rina Panigrahy:
Clustering to minimize the sum of cluster diameters. J. Comput. Syst. Sci. 68(2): 417-441 (2004) - [j13]Moses Charikar, Chandra Chekuri, Tomás Feder, Rajeev Motwani:
Incremental Clustering and Dynamic Information Retrieval. SIAM J. Comput. 33(6): 1417-1440 (2004) - [j12]Moses Charikar, Jon M. Kleinberg, Ravi Kumar, Sridhar Rajagopalan, Amit Sahai, Andrew Tomkins:
Minimizing Wirelength in Zero and Bounded Skew Clock Trees. SIAM J. Discret. Math. 17(4): 582-595 (2004) - [j11]Moses Charikar, Kevin C. Chen, Martin Farach-Colton:
Finding frequent items in data streams. Theor. Comput. Sci. 312(1): 3-15 (2004) - [j10]Moses Charikar, Joseph Naor, Baruch Schieber:
Resource optimization in QoS multicast routing of real-time multimedia. IEEE/ACM Trans. Netw. 12(2): 340-348 (2004) - [c39]Qin Lv, Moses Charikar, Kai Li:
Image similarity search with compact data structures. CIKM 2004: 208-217 - [c38]Moses Charikar, Anthony Wirth:
Maximizing Quadratic Programs: Extending Grothendieck's Inequality. FOCS 2004: 54-60 - [c37]Moses Charikar, Michel X. Goemans, Howard J. Karloff:
On the Integrality Ratio for Asymmetric TSP. FOCS 2004: 101-107 - [c36]Amit Agarwal, Moses Charikar:
On the advantage of network coding for improving network throughput. ITW 2004: 247-249 - 2003
- [j9]Andrei Z. Broder, Moses Charikar, Michael Mitzenmacher:
A derandomization using min-wise independent permutations. J. Discrete Algorithms 1(1): 11-20 (2003) - [c35]Bo Brinkman, Moses Charikar:
On the Impossibility of Dimension Reduction in l1. FOCS 2003: 514-523 - [c34]Moses Charikar, Venkatesan Guruswami, Anthony Wirth:
Clustering with Qualitative Information. FOCS 2003: 524-533 - [c33]Moses Charikar, Liadan O'Callaghan, Rina Panigrahy:
Better streaming algorithms for clustering problems. STOC 2003: 30-39 - 2002
- [j8]Moses Charikar, Ronald Fagin, Venkatesan Guruswami, Jon M. Kleinberg, Prabhakar Raghavan, Amit Sahai:
Query Strategies for Priced Information. J. Comput. Syst. Sci. 64(4): 785-819 (2002) - [j7]Moses Charikar, Sudipto Guha, Éva Tardos, David B. Shmoys:
A Constant-Factor Approximation Algorithm for the k-Median Problem. J. Comput. Syst. Sci. 65(1): 129-149 (2002) - [c32]Moses Charikar, Amit Sahai:
Dimension Reduction in the \ell _1 Norm. FOCS 2002: 551-560 - [c31]Moses Charikar, Piotr Indyk, Rina Panigrahy:
New Algorithms for Subset Query, Partial Match, Orthogonal Range Searching, and Related Problems. ICALP 2002: 451-462 - [c30]Moses Charikar, Kevin C. Chen, Martin Farach-Colton:
Finding Frequent Items in Data Streams. ICALP 2002: 693-703 - [c29]Moses Charikar:
On semidefinite programming relaxations for graph coloring and vertex cover. SODA 2002: 616-620 - [c28]Moses Charikar:
Similarity estimation techniques from rounding algorithms. STOC 2002: 380-388 - [c27]Moses Charikar, Eric Lehman, Ding Liu, Rina Panigrahy, Manoj Prabhakaran, April Rasala, Amit Sahai, Abhi Shelat:
Approximating the smallest grammar: Kolmogorov complexity in natural models. STOC 2002: 792-801 - 2001
- [j6]Susanne Albers, Moses Charikar, Michael Mitzenmacher:
Delayed Information and Action in On-Line Algorithms. Inf. Comput. 170(2): 135-152 (2001) - [j5]Moses Charikar, Samir Khuller, Balaji Raghavachari:
Algorithms for Capacitated Vehicle Routing. SIAM J. Comput. 31(3): 665-682 (2001) - [j4]Yair Bartal, Moses Charikar, Piotr Indyk:
On page migration and other relaxed task systems. Theor. Comput. Sci. 268(1): 43-66 (2001) - [c26]Moses Charikar, Samir Khuller, David M. Mount, Giri Narasimhan:
Algorithms for facility location problems with outliers. SODA 2001: 642-651 - [c25]Moses Charikar, Rina Panigrahy:
Clustering to minimize the sum of cluster diameters. STOC 2001: 1-10 - [c24]Yair Bartal, Moses Charikar, Danny Raz:
Approximating min-sum k-clustering in metric spaces. STOC 2001: 11-20 - 2000
- [b1]Moses Charikar:
Algorithms for clustering problems. Stanford University, USA, 2000 - [j3]Piotr Berman, Moses Charikar, Marek Karpinski:
On-Line Load Balancing for Related Machines. J. Algorithms 35(1): 108-121 (2000) - [j2]Andrei Z. Broder, Moses Charikar, Alan M. Frieze, Michael Mitzenmacher:
Min-Wise Independent Permutations. J. Comput. Syst. Sci. 60(3): 630-659 (2000) - [c23]Moses Charikar:
Greedy approximation algorithms for finding dense components in a graph. APPROX 2000: 84-95 - [c22]Moses Charikar, Venkatesan Guruswami, Ravi Kumar, Sridhar Rajagopalan, Amit Sahai:
Combinatorial feature selection problems. FOCS 2000: 631-640 - [c21]Rohit Negi, Moses Charikar, John M. Cioffi:
Minimum Outage Transmission over Fading Channels with Delay Constraint. ICC (1) 2000: 282-286 - [c20]Moses Charikar, Joseph Naor, Baruch Schieber:
Resource Optimization in QoS Multicast Routing of Real-Time Multimedia. INFOCOM 2000: 1518-1527 - [c19]Moses Charikar, Surajit Chaudhuri, Rajeev Motwani, Vivek R. Narasayya:
Towards Estimation Error Guarantees for Distinct Values. PODS 2000: 268-279 - [c18]Moses Charikar, Ronald Fagin, Venkatesan Guruswami, Jon M. Kleinberg, Prabhakar Raghavan, Amit Sahai:
Query strategies for priced information (extended abstract). STOC 2000: 582-591 - [i1]Piotr Berman, Moses Charikar, Marek Karpinski:
On-Line Load Balancing for Related Machines. Electron. Colloquium Comput. Complex. TR00 (2000)
1990 – 1999
- 1999
- [j1]Moses Charikar, Chandra Chekuri, To-Yat Cheung, Zuo Dai, Ashish Goel, Sudipto Guha, Ming Li:
Approximation Algorithms for Directed Steiner Problems. J. Algorithms 33(1): 73-91 (1999) - [c17]Moses Charikar, Sudipto Guha:
Improved Combinatorial Algorithms for the Facility Location and k-Median Problems. FOCS 1999: 378-388 - [c16]Moses Charikar, Jon M. Kleinberg, Ravi Kumar, Sridhar Rajagopalan, Amit Sahai, Andrew Tomkins:
Minimizing Wirelength in Zero and Bounded Skew Clock Trees. SODA 1999: 177-184 - [c15]Moses Charikar, Sudipto Guha, Éva Tardos, David B. Shmoys:
A Constant-Factor Approximation Algorithm for the k-Median Problem (Extended Abstract). STOC 1999: 1-10 - [c14]Moses Charikar, Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopalan, Andrew Tomkins:
On targeting Markov segments. STOC 1999: 99-108 - 1998
- [c13]Susanne Albers, Moses Charikar, Michael Mitzenmacher:
Delayed Information and Action in On-line Algorithms. FOCS 1998: 71-81 - [c12]Moses Charikar, Chandra Chekuri, Ashish Goel, Sudipto Guha, Serge A. Plotkin:
Approximating a Finite Metric by a Small Number of Tree Metrics. FOCS 1998: 379-388 - [c11]Moses Charikar, Balaji Raghavachari:
The Finite Capacity Dial-A-Ride Problem. FOCS 1998: 458-467 - [c10]Andrei Z. Broder, Moses Charikar, Michael Mitzenmacher:
A Derandomization Using Min-Wise Independent Permutations. RANDOM 1998: 15-24 - [c9]Moses Charikar, Chandra Chekuri, To-Yat Cheung, Zuo Dai, Ashish Goel, Sudipto Guha, Ming Li:
Approximation Algorithms for Directed Steiner Problems. SODA 1998: 192-200 - [c8]Moses Charikar, Dan Halperin, Rajeev Motwani:
The Dynamic Servers Problem. SODA 1998: 410-419 - [c7]Moses Charikar, Chandra Chekuri, Ashish Goel, Sudipto Guha:
Rounding via Trees: Deterministic Approximation Algorithms for Group Steiner Trees and k-Median. STOC 1998: 114-123 - [c6]Andrei Z. Broder, Moses Charikar, Alan M. Frieze, Michael Mitzenmacher:
Min-Wise Independent Permutations (Extended Abstract). STOC 1998: 327-336 - [c5]Moses Charikar, Samir Khuller, Balaji Raghavachari:
Algorithms for Capacitated Vehicle Routing. STOC 1998: 349-358 - 1997
- [c4]Yair Bartal, Moses Charikar, Piotr Indyk:
On Page Migration and Other Relaxed Task Systems. SODA 1997: 43-52 - [c3]Moses Charikar, Chandra Chekuri, Tomás Feder, Rajeev Motwani:
Incremental Clustering and Dynamic Information Retrieval. STOC 1997: 626-635 - [c2]Moses Charikar, Rajeev Motwani, Prabhakar Raghavan, Craig Silverstein:
Constrained TSP and Low-Power Computing. WADS 1997: 104-115 - [c1]Piotr Berman, Moses Charikar, Marek Karpinski:
On-line Load Balancing for Related Machines. WADS 1997: 116-125
Coauthor Index
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