Bio


Moses Charikar is the Donald E. Knuth professor of Computer Science at Stanford University. He obtained his PhD from Stanford in 2000, spent a year in the research group at Google, and was on the faculty at Princeton from 2001-2015.

His research interests include: efficient algorithmic techniques for processing, searching and indexing massive high-dimensional data sets; efficient algorithms for computational problems in high-dimensional statistics and optimization problems in machine learning; approximation algorithms for discrete optimization problems with provable guarantees; convex optimization approaches for non-convex combinatorial optimization problems; low-distortion embeddings of finite metric spaces.

He won the best paper award at FOCS 2003 for his work on the impossibility of dimension reduction, the best paper award at COLT 2017, the 10 year best paper award at VLDB 2017 and the 20 year test of time award at STOC 2022. He was jointly awarded the 2012 Paris Kanellakis Theory and Practice Award for his work on locality sensitive hashing, was named a Simons Investigator in theoretical computer science in 2014, and an ACM Fellow in 2021.

Academic Appointments


Honors & Awards


  • ACM Fellow, ACM (2021)
  • Paris Kanellakis Theory and Practice Award, ACM (2012)
  • Simons Investigator in Theoretical Computer Science, Simons Foundation (2014)
  • Alfred P. Sloan Fellowship, Sloan Foundation (2003)
  • Distinguished Alumnus Award, IIT Bombay (2016)
  • 20 year test of time award, STOC (2022)
  • 10 year best paper award, VLDB (2017)
  • Best paper award, COLT (2017)
  • Best paper award, FOCS (2003)

Boards, Advisory Committees, Professional Organizations


  • Scientific Advisory Board Member, Simons Institute for the Theory of Computing (2015 - 2018)
  • Director, Center for Computational Intractability (2012 - 2014)
  • Member, SIGACT Committee for the Advancement of Theoretical Computer Science (2011 - 2017)
  • Member, ACM-SIAM SODA steering committee (2010 - 2012)

Professional Education


  • B.Tech., Indian Institute of Technology, Bombay, Computer Science and Engineering (1995)
  • Ph.D., Stanford University, Computer Science (2000)

Patents


  • Moses Charikar, Deepa Ramakrishna. "United States Patent 10,282,863 Lossless Compression of Fragmented Image Data", EMC Corporation, May 7, 2019
  • Moses Charikar, Deepa Ramakrishna. "United States Patent 10,249,059 Lossless Compression of Fragmented Image Data", EMC Corporation, Apr 2, 2019
  • Moses Charikar, Deepa Ramakrishna. "United States Patent 10,114,839 Format Identification for Fragmented Data", EMC Corporation, Oct 30, 2018
  • Moses Charikar, Deepa Ramakrishna. "United States Patent 9,684,974 Lossless compression of fragmented image data", EMC Corporation, Jun 20, 2017
  • Moses Charikar, Deepa Ramakrishna. "United States Patent 9,558,566 Lossless compression of fragmented image data", EMC Corporation, Jan 31, 2017
  • Moses Charikar, Deepa Ramakrishna. "United States Patent 9,495,390 Format identification for fragmented image data", EMC Corporation, Nov 15, 2016
  • Moses Charikar, Deepa Ramakrishna. "United States Patent 9,384,218 Format identification for fragmented image data", EMC Corporation, Jul 5, 2016
  • Kai Li, Qin, Lv, Moses Charikar. "United States Patent 7966327B2 Similarity search system with compact data structures", The Trustees Of Princeton University, Jun 21, 2011
  • Ran Canetti, Moses Charikar, Sridhar Rajagopalan, S. Ravikumar, Amit Sahai, Andrew Tomkins. "United States Patent US7222362B1 Non-transferable anonymous credentials", IBM, May 22, 2007
  • Moses Charikar. "United States Patent US7158961 B1 Methods and apparatus for estimating similarity", Google, Inc, Dec 31, 2001

Current Research and Scholarly Interests


Efficient algorithmic techniques for processing, searching and indexing massive high-dimensional data sets; efficient algorithms for computational problems in high-dimensional statistics and optimization problems in machine learning; approximation algorithms for discrete optimization problems with provable guarantees; convex optimization approaches for non-convex combinatorial optimization problems; low-distortion embeddings of finite metric spaces.

2024-25 Courses


Stanford Advisees


All Publications


  • Distributed algorithms from arboreal ants for the shortest path problem. Proceedings of the National Academy of Sciences of the United States of America Garg, S., Shiragur, K., Gordon, D. M., Charikar, M. 2023; 120 (6): e2207959120

    Abstract

    Colonies of the arboreal turtle ant create networks of trails that link nests and food sources on the graph formed by branches and vines in the canopy of the tropical forest. Ants put down a volatile pheromone on the edges as they traverse them. At each vertex, the next edge to traverse is chosen using a decision rule based on the current pheromone level. There is a bidirectional flow of ants around the network. In a previous field study, it was observed that the trail networks approximately minimize the number of vertices, thus solving a variant of the popular shortest path problem without any central control and with minimal computational resources. We propose a biologically plausible model, based on a variant of the reinforced random walk on a graph, which explains this observation and suggests surprising algorithms for the shortest path problem and its variants. Through simulations and analysis, we show that when the rate of flow of ants does not change, the dynamics converges to the path with the minimum number of vertices, as observed in the field. The dynamics converges to the shortest path when the rate of flow increases with time, so the colony can solve the shortest path problem merely by increasing the flow rate. We also show that to guarantee convergence to the shortest path, bidirectional flow and a decision rule dividing the flow in proportion to the pheromone level are necessary, but convergence to approximately short paths is possible with other decision rules.

    View details for DOI 10.1073/pnas.2207959120

    View details for PubMedID 36716366

  • p Local Density Estimation in High Dimensions MATHEMATICS OF OPERATIONS RESEARCH Wu, X., Charikar, M., Natchu, V. 2022
  • Approximation Algorithms for Orthogonal Non-negative Matrix Factorization Charikar, M., Hu, L., Banerjee, A., Fukumizu, K. MICROTOME PUBLISHING. 2021
  • Brief Announcement: A Randomness-efficient Massively Parallel Algorithm for Connectivity Charikar, M., Ma, W., Tan, L., ACM ASSOC COMPUTING MACHINERY. 2021: 431-433
  • CoopStore: Optimizing Precomputed Summaries for Aggregation PROCEEDINGS OF THE VLDB ENDOWMENT Gan, E., Bailis, P., Charikar, M. 2020; 13 (11): 2174–87
  • Retrieving Top Weighted Triangles in Graphs Kumar, R., Liu, P., Charikar, M., Benson, A. R., ACM ASSOC COMPUTING MACHINERY. 2020: 295–303
  • Institutions Share Successes, Failures, and Advice in Moving the Diversity Needle Garcia, D., Charikar, M., Hearn, E., Lazowska, E., Reynolds, J., ASSOC COMP MACHINERY ASSOC COMPUTING MACHINERY. 2020: 331-332
  • Unconditional Lower Bounds for Adaptive Massively Parallel Computation Charikar, M., Ma, W., Tan, L., ACM ASSOC COMPUTING MACHINERY. 2020: 141-151
  • Kernel Density Estimation through Density Constrained Near Neighbor Search Charikar, M., Kapralov, M., Nouri, N., Siminelakis, P., IEEE IEEE. 2020: 172-183
  • A General Framework for Symmetric Property Estimation Charikar, M., Shiragur, K., Sidford, A., Wallach, H., Larochelle, H., Beygelzimer, A., d'Alche-Buc, F., Fox, E., Garnett, R. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2019
  • Multi-commodity Flow with In-Network Processing Charikar, M., Naamad, Y., Rexford, J., Zou, X., Disser, Y., Verykios, V. S. SPRINGER INTERNATIONAL PUBLISHING AG. 2019: 73-101
  • Rehashing Kernel Evaluation in High Dimensions Siminelakis, P., Rong, K., Bailis, P., Charikar, M., Levis, P., Chaudhuri, K., Salakhutdinov, R. JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2019
  • Sampling Methods for Counting Temporal Motifs Liu, P., Benson, A. R., Charikar, M., ACM ASSOC COMPUTING MACHINERY. 2019: 294–302
  • Multi-Resolution Hashing for Fast Pairwise Summations Charikar, M., Siminelakis, P., IEEE IEEE COMPUTER SOC. 2019: 769–92
  • Hierarchical Clustering for Euclidean Data Charikar, M., Chatziafratis, V., Niazadeh, R., Yaroslavtsev, G., Chaudhuri, K., Sugiyama, M. MICROTOME PUBLISHING. 2019
  • Recovery Guarantees For Quadratic Tensors With Sparse Observations Zhang, H., Sharan, V., Charikar, M., Liang, Y., Chaudhuri, K., Sugiyama, M. MICROTOME PUBLISHING. 2019
  • Efficient Density Evaluation for Smooth Kernels Backurs, A., Charikar, M., Indyk, P., Siminelakis, P., Thorup, M. IEEE COMPUTER SOC. 2018: 615–26
  • Hierarchical Clustering with Structural Constraints Chatziafratis, V., Niazadeh, R., Charikar, M., Dy, J., Krause, A. JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2018
  • Local Density Estimation in High Dimensions Wu, X., Charikar, M., Natchu, V., Dy, J., Krause, A. JMLR-JOURNAL MACHINE LEARNING RESEARCH. 2018
  • Local Guarantees in Graph Cuts and Clustering Charikar, M., Gupta, N., Schwartz, R., Eisenbrand, F., Koenemann, J. SPRINGER INTERNATIONAL PUBLISHING AG. 2017: 136–47
  • Top-k Frequent Item Maintenance over Streams DATA STREAM MANAGEMENT: PROCESSING HIGH-SPEED DATA STREAMS Charikar, M., Garofalakis, M., Gehrke, J., Rastogi, R. 2016: 103–19
  • Spectral Embedding of k-Cliques, Graph Partitioning and k-Means Awasthi, P., Charikar, M., Krishnaswamy, R., Sinop, A., ACM ASSOC COMPUTING MACHINERY. 2016: 301–10
  • Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction Steinhardt, J., Valiant, G., Charikar, M., Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, Garnett, R. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2016
  • Targeted exploration and analysis of large cross-platform human transcriptomic compendia NATURE METHODS Zhu, Q., Wong, A. K., Krishnan, A., Aure, M. R., Tadych, A., Zhang, R., Corney, D. C., Greene, C. S., Bongo, L. A., Kristensen, V. N., Charikar, M., Li, K., Troyanskaya, O. G. 2015; 12 (3): 211-?

    Abstract

    We present SEEK (search-based exploration of expression compendia; http://seek.princeton.edu/), a query-based search engine for very large transcriptomic data collections, including thousands of human data sets from many different microarray and high-throughput sequencing platforms. SEEK uses a query-level cross-validation-based algorithm to automatically prioritize data sets relevant to the query and a robust search approach to identify genes, pathways and processes co-regulated with the query. SEEK provides multigene query searching with iterative metadata-based search refinement and extensive visualization-based analysis options.

    View details for DOI 10.1038/NMETH.3249

    View details for Web of Science ID 000350670300018

    View details for PubMedID 25581801

    View details for PubMedCentralID PMC4768301

  • Relax, No Need to Round: Integrality of Clustering Formulations Awasthi, P., Bandeira, A. S., Charikar, M., Krishnaswamy, R., Villar, S., Ward, R., ACM ASSOC COMPUTING MACHINERY. 2015: 191–200
  • Online Bipartite Matching with Decomposable Weights Charikar, M., Henzinger, M., Nguyen, H. L., Schulz, A. S., Wagner, D. SPRINGER-VERLAG BERLIN. 2014: 260–71
  • Smoothed Analysis of Tensor Decompositions Bhaskara, A., Charikar, M., Moitra, A., Vijayaraghavan, A., Assoc Comp Machinery ASSOC COMPUTING MACHINERY. 2014: 594–603
  • A Dependent LP-Rounding Approach for the k-Median Problem Charikar, M., Li, S., Czumaj, A., Mehlhorn, K., Pitts, A., Wattenhofer, R. SPRINGER-VERLAG BERLIN. 2012: 194–205
  • On Quadratic Programming with a Ratio Objective Bhaskara, A., Charikar, M., Manokaran, R., Vijayaraghavan, A., Czumaj, A., Mehlhorn, K., Pitts, A., Wattenhofer, R. SPRINGER-VERLAG BERLIN. 2012: 109–20
  • Improved Approximation Algorithms for Label Cover Problems ALGORITHMICA Charikar, M., Hajiaghayi, M., Karloff, H. 2011; 61 (1): 190-206
  • BEATING THE RANDOM ORDERING IS HARD: EVERY ORDERING CSP IS APPROXIMATION RESISTANT SIAM JOURNAL ON COMPUTING Guruswami, V., Hastad, J., Manokaran, R., Raghavendra, P., Charikar, M. 2011; 40 (3): 878-914

    View details for DOI 10.1137/090756144

    View details for Web of Science ID 000292108900014

  • Tight Hardness Results for Minimizing Discrepancy Charikar, M., Newman, A., Nikolov, A., SIAM, ACM SIAM. 2011: 1607–14
  • Near Linear Lower Bound for Dimension Reduction in l(1) Andoni, A., Charikar, M. S., Neiman, O., Nguyen, H. L., Ostrovsky, R. IEEE COMPUTER SOC. 2011: 315–23
  • FITTING TREE METRICS: HIERARCHICAL CLUSTERING AND PHYLOGENY SIAM JOURNAL ON COMPUTING Ailon, N., Charikar, M. 2011; 40 (5): 1275-1291

    View details for DOI 10.1137/100806886

    View details for Web of Science ID 000296584900004

  • l(2)(2) Spreading Metrics for Vertex Ordering Problems ALGORITHMICA Charikar, M., Hajiaghayi, M. T., Karloff, H., Rao, S. 2010; 56 (4): 577-604
  • LOCAL GLOBAL TRADEOFFS IN METRIC EMBEDDINGS SIAM JOURNAL ON COMPUTING Charikar, M., Makarychev, K., Makarychev, Y. 2010; 39 (6): 2487-2512

    View details for DOI 10.1137/070712080

    View details for Web of Science ID 000277585000017

  • Vertex Sparsifiers and Abstract Rounding Algorithms Charikar, M., Leighton, T., Li, S., Moitra, A., IEEE Computer Society IEEE COMPUTER SOC. 2010: 265–74
  • Detecting High Log-Densities - an O(n(1/4)) Approximation for Densest k-Subgraph Bhaskara, A., Charikar, M., Chlamtac, E., Feige, U., Vijayaraghavan, A., ACM ASSOC COMPUTING MACHINERY. 2010: 201–10
  • Near-Optimal Algorithms for Maximum Constraint Satisfaction Problems ACM TRANSACTIONS ON ALGORITHMS Charikar, M., Makarychev, K., Makarychev, Y. 2009; 5 (3)
  • Every Permutation CSP of arity 3 is Approximation Resistant PROCEEDINGS OF THE 24TH ANNUAL IEEE CONFERENCE ON COMPUTATIONAL COMPLEXITY Charikar, M., Guruswami, V., Manokaran, R. 2009: 62-73
  • Improved Approximation Algorithms for Label Cover Problems Charikar, M., Hajiaghayi, M., Karloff, H., Fiat, A., Sanders, P. SPRINGER-VERLAG BERLIN. 2009: 23-+
  • MaxMin Allocation via Degree Lower-bounded Arborescences STOC'09: PROCEEDINGS OF THE 2009 ACM SYMPOSIUM ON THEORY OF COMPUTING Bateni, M., Charikar, M., Guruswami, V. 2009: 543-552
  • Integrality Gaps for Sherali-Adams Relaxations STOC'09: PROCEEDINGS OF THE 2009 ACM SYMPOSIUM ON THEORY OF COMPUTING Charikar, M., Makarychev, K., Makarychev, Y. 2009: 283-292
  • Aggregating Inconsistent Information: Ranking and Clustering JOURNAL OF THE ACM Ailon, N., Charikar, M., Newman, A. 2008; 55 (5)
  • Online Multicast with Egalitarian Cost Sharing SPAA'08: PROCEEDINGS OF THE TWENTIETH ANNUAL SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES Charikar, M., Karloff, H., Mathieu, C., Naor, J. (., Saks, M. 2008: 70-76
  • Near-Optimal Algorithms for Maximum Constraint Satisfaction Problems Charikar, M., Makarychev, K., Makarychev, Y., SIAM/ACM SIAM. 2007: 62–68
  • A Divide and Conquer Algorithm for d-Dimensional Arrangement Charikar, M., Makarychev, K., Makarychev, Y., SIAM/ACM SIAM. 2007: 541–46
  • On finding frequent elements in a data stream APPROXIMATION, RANDOMIZATION, AND COMBINATORIAL OPTIMIZATION: ALGORITHMS AND TECHNIQUES Charikar, M., Chen, K., Farach-Colton, M. 2007; 4627: 584-?
  • On the advantage over random for maximum acyclic subgraph 48TH ANNUAL IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS Charikar, M., Makarychev, K., Makarychev, Y. 2007: 625-633
  • Local global tradeoffs in metric embeddings 48TH ANNUAL IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS Charikar, M., Makarychev, K., Makarychev, Y. 2007: 713-723
  • Improved Approximation for Directed Cut Problems STOC 07: PROCEEDINGS OF THE 39TH ANNUAL ACM SYMPOSIUM ON THEORY OF COMPUTING Agarwal, A., Alon, N., Charikar, M. 2007: 671-680
  • Sizing Sketches: A Rank-Based Analysis for Similarity Search SIGMETRICS'07: PROCEEDINGS OF THE 2007 INTERNATIONAL CONFERENCE ON MEASUREMENT & MODELING OF COMPUTER SYSTEMS Wang, Z., Dong, W., Josephson, W., Lv, Q., Charikar, M., Li, K. 2007; 35 (1): 157-168
  • Special issue on FOCS 2001 - Guest editor's foreword JOURNAL OF COMPUTER AND SYSTEM SCIENCES Charikar, M. 2006; 72 (5): 785
  • On the integrality ratio for the asymmetric traveling salesman problem MATHEMATICS OF OPERATIONS RESEARCH Charikar, M., Goemans, M. X., Karloff, H. 2006; 31 (2): 245-252
  • l(2)(2) Spreading Metrics For Vertex Ordering Problems Charikar, M., Hajiaghayi, M., Karloff, H., Rao, S., SIAM/ACM SIAM. 2006: 1018-+
  • Directed Metrics and Directed Graph Partitioning Problems Charikar, M., Makarychev, K., Makarychev, Y., SIAM/ACM SIAM. 2006: 51–60
  • A Robust Maximum Completion Time Measure for Scheduling Charikar, M., Khuller, S., SIAM/ACM SIAM. 2006: 324-+
  • Clustering with qualitative information JOURNAL OF COMPUTER AND SYSTEM SCIENCES Charikar, M., Guruswami, V., Wirth, A. 2005; 71 (3): 360-383
  • On the impossibility of dimension reduction in l(1) JOURNAL OF THE ACM Brinkman, B., Charikar, M. 2005; 52 (5): 766-788
  • The smallest grammar problem 13th Annual ACM/SIAM Symposium on Discrete Algorithms Charikar, M., Lehman, E., Liu, D., Panigrahy, R., Prabhakaran, M., Sahai, A., Shelat, A. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC. 2005: 2554–76
  • Improved combinatorial algorithms for facility location problems SIAM JOURNAL ON COMPUTING Charikar, M., Guha, S. 2005; 34 (4): 803-824
  • A Tight Threshold for Metric Ramsey Phenomena Charikar, M., Karagiozova, A., SIAM/ACM SIAM. 2005: 129–36
  • Fitting tree metrics: Hierarchical clustering and phylogeny 46TH ANNUAL IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS Ailon, N., Charikar, M. 2005: 73-82
  • Sampling bounds for stochastic optimization APPROXIMATION, RANDOMIZATION AND COMBINATORIAL OPTIMIZATION: ALGORITHMS AND TECHNIQUES Charikar, M., Chekuri, C., Pal, M. 2005; 3624: 257-269
  • Resource optimization in QoS multicast routing of real-time multimedia IEEE-ACM TRANSACTIONS ON NETWORKING Charikar, M., Naor, J., Schieber, B. 2004; 12 (2): 340-348
  • Clustering to minimize the sum of cluster diameters JOURNAL OF COMPUTER AND SYSTEM SCIENCES Charikar, M., Panigrahy, R. 2004; 68 (2): 417-441
  • Finding frequent items in data streams THEORETICAL COMPUTER SCIENCE Charikar, M., Chen, K., Farach-Colton, M. 2004; 312 (1): 3-15
  • Incremental clustering and dynamic information retrieval SIAM JOURNAL ON COMPUTING Charikar, M., Chekuri, C., Feder, T., Motwani, R. 2004; 33 (6): 1417-1440
  • The advantage of network coding for improving network throughput 2004 IEEE INFORMATION THEORY WORKSHOP, PROCEEDINGS Agarwal, A., Charikar, M. 2004: 247-249
  • Minimizing wirelength in zero and bounded skew clock trees SIAM JOURNAL ON DISCRETE MATHEMATICS Charikar, M., Kleinberg, J., Kumar, R., Rajagopalan, S., Sahai, A., Tomkins, A. 2004; 17 (4): 582-595
  • On the integrality ratio for asymmetric TSP 45TH ANNUAL IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS Charikar, M., Goemans, M. X., Karloff, H. 2004: 101-107
  • Maximizing quadratic programs: extending Grothendieck's inequality 45TH ANNUAL IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS Charikar, M., Wirth, A. 2004: 54-60
  • On the impossibility of dimension reduction in l(1) 44TH ANNUAL IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS Brinkman, B., Charikar, M. 2003: 514-523
  • Clustering with qualitative information 44TH ANNUAL IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS Charikar, M., Guruswami, V., Wirth, A. 2003: 524-533
  • A constant-factor approximation algorithm for the k-median problem 31st Annual ACM Symposium on Theory of Computing Charikar, M., Guha, S., Tardos, E., Shmoys, D. B. ACADEMIC PRESS INC ELSEVIER SCIENCE. 2002: 129–49
  • Query strategies for priced information 32nd Annual ACM Symposium on Theory of Computing Charikar, M., Fagin, R., Guruswami, V., Kleinberg, J., Raghavan, P., Sahai, A. ACADEMIC PRESS INC ELSEVIER SCIENCE. 2002: 785–819
  • Algorithms for capacitated vehicle routing SIAM JOURNAL ON COMPUTING Charikar, M., Khuller, S., Raghavachari, B. 2002; 31 (3): 665-682
  • New algorithms for subset query, partial match, orthogonal range searching, and related problems AUTOMATA, LANGUAGES AND PROGRAMMING Charikar, M., Indyk, P., Panigrahy, R. 2002; 2380: 451-462
  • Dimension reduction in the l(1) norm FOCS 2002: 43RD ANNUAL IEEE SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE, PROCEEDINGS Charikar, M., Sahai, A. 2002: 551-560
  • On semidefinite programming relaxations for graph coloring and vertex cover PROCEEDINGS OF THE THIRTEENTH ANNUAL ACM-SIAM SYMPOSIUM ON DISCRETE ALGORITHMS Charikar, M. 2002: 616-620
  • Finding frequent items in data streams AUTOMATA, LANGUAGES AND PROGRAMMING Charikar, M., Chen, K., Farach-Colton, M. 2002; 2380: 693-703
  • Delayed information and action in on-line algorithms INFORMATION AND COMPUTATION Albers, S., Charikar, M., Mitzenmacher, M. 2001; 170 (2): 135-152
  • On page migration and other relaxed task systems THEORETICAL COMPUTER SCIENCE Bartal, Y., Charikar, M., Indyk, P. 2001; 268 (1): 43-66
  • Algorithms for facility location problems with outliers 12th Annual ACM-SIAM Symposium on Discrete Algorithms Charikar, M., Khuller, S., Mount, D. M., Narasimhan, G. SIAM. 2001: 642–651
  • Min-wise independent permutations 30th Annual ACM Symposium on Theory of Computing Broder, A. Z., Charikar, M., Frieze, A. M., Mitzenmacher, M. ACADEMIC PRESS INC ELSEVIER SCIENCE. 2000: 630–59
  • On-line load balancing for related machines JOURNAL OF ALGORITHMS Berman, P., Charikar, M., Karpinski, M. 2000; 35 (1): 108-121
  • Minimum outage transmission over fading channels with delay constraint IEEE International Conference on Communications (ICC 2000) Negi, R., Charikar, M., Cioffi, J. IEEE. 2000: 282–286
  • Approximation algorithms for directed Steiner problems JOURNAL OF ALGORITHMS-COGNITION INFORMATICS AND LOGIC Charikar, M., Chekuri, C., Cheung, T. Y., Dai, Z., Goel, A., Guha, S., Li, M. 1999; 33 (1): 73-91
  • Minimizing wirelength in zero and bounded skew clock trees 10th Annual ACM-SIAM Symposium on Discrete Algorithms Charikar, M., Kleinberg, J., Kumar, R., Rajagopalan, S., Sahai, A., Tomkins, A. SIAM. 1999: 177–184
  • Approximating a finite metric by a small number of tree metrics 39th Annual Symposium on Foundations of Computer Science Charikar, M., Chekuri, C., Goel, A., Guha, S., Plotkin, S. IEEE COMPUTER SOC. 1998: 379–388
  • Delayed information and action in on-line algorithms 39th Annual Symposium on Foundations of Computer Science Albers, S., Charikar, M., Mitzenmacher, M. IEEE COMPUTER SOC. 1998: 71–80
  • The finite capacity dial-a-ride problem 39th Annual Symposium on Foundations of Computer Science Charikar, M., Raghavachari, B. IEEE COMPUTER SOC. 1998: 458–467
  • A derandomization using min-wise independent permutations 2nd International Workshop on Randomization and Approximation Techniques in Computer Science (RANDOM 98) Broder, A. Z., Charikar, M., Mitzenmacher, M. SPRINGER-VERLAG BERLIN. 1998: 15–24
  • On-line load balancing for related machines 5th International Workshop on Algorithms and Data Structures (WADS 97) Berman, P., Charikar, M., Karpinski, M. SPRINGER-VERLAG BERLIN. 1997: 116–125
  • Constrained TSP and low-power computing 5th International Workshop on Algorithms and Data Structures (WADS 97) Charikar, M., Motwani, R., Raghavan, P., Silverstein, C. SPRINGER-VERLAG BERLIN. 1997: 104–115
  • On page migration and other relaxed task systems 8th Annual ACM/SIAM Symposium on Discrete Algorithms Bartal, Y., Charikar, M., Indyk, P. SIAM. 1997: 43–52