Papers

Causal Clustering
Kwangho Kim, Edward H. Kennedy, Jisu Kim, Larry Wasserman.

Persistent homology of density filtration on rips complex
Jaehyeok Shin, Jisu Kim, Alessandro Rinaldo, Larry Wasserman.

Distribution Regression in Semi-supervised Learning
Kwangho Kim, Jisu Kim, Barnabás Póczos.

Uniform Convergence Rate of the Kernel Density Estimator Adaptive to Intrinsic Volume Dimension
Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo, Larry Wasserman. [2019]
To appear in Thirty-sixth International Conference on Machine Learning (ICML 2019).
[ arXiv | BibTeX ]

Nerve Theorem on a Positive Reach set
Jisu Kim, Jaehyeok Shin, Alessandro Rinaldo, Larry Wasserman. [2019]
[ arXiv | BibTeX ]

Estimating the Reach of a Manifold
Eddie Aamari, Jisu Kim, Frédéric Chazal, Bertrand Michel, Alessandro Rinaldo, Larry Wasserman. [2019]
Appeared in Electronic Journal of Statistics, Volume 13, Number 1.
[ arXiv | Electronic Journal of Statistics | HAL | BibTeX ]

Minimax Rates for Estimating the Dimension of a Manifold
Jisu Kim, Alessandro Rinaldo, Larry Wasserman. [2019]
Appeared in Journal of Computational Geometry, Volume 10, Number 1.
[ arXiv | Journal of Computational Geometry | BibTeX ]

Time Series Featurization via Topological Data Analysis: an Application to Cryptocurrency Trend Forecasting
Kwangho Kim, Jisu Kim, Alessandro Rinaldo. [2018]
[ arXiv | BibTeX ]

Causal effects based on distributional distances
Kwangho Kim, Jisu Kim, Edward H. Kennedy. [2018]
[ arXiv | BibTeX ]

Think before You Discard: Accurate Triangle Counting in Graph Streams with Deletions
Kijung Shin, Jisu Kim, Bryan Hooi, Christos Faloutsos. [2018]
Appeared in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2018.
[ paper | appendix | www (code and datasets) | BibTeX ]

DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams
Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos. [2017]
Appeared in The 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017).
[ paper | appendix | www (code and datasets) | BibTeX ]

D-Cube: Dense-Block Detection in Terabyte-Scale Tensors
Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos. [2017]
Appeared in The 10th ACM International Conference on Web Search and Data Mining (WSDM 2017).
[ paper | appendix | www (code and datasets) | BibTeX ]

Statistical Inference for Cluster Trees
Jisu Kim, Yen-Chi Chen, Sivaraman Balakrishnan, Alessandro Rinaldo, Larry Wasserman. [2017]
Appeared in Advances in Neural Information Processing Systems 29 (NIPS 2016).
[ arXiv | NIPS | BibTeX ]

Introduction to the R package TDA
Brittany T. Fasy, Jisu Kim, Fabrizio Lecci, Clement Maria, David L. Millman, Vincent Rouvreau. [2014]
[ arXiv | BibTeX ]


Talks

R Package TDA for Statistical Inference on Topological Data Analysis
Recent Progresses in Data Analysis - Part I of II in SIAM Conference on Computational Science and Engineering, Spokane (USA) [2019-02-25]
[ slides | tutorial | code | abstract ]

Persistent homology of kenel density estimator filtration on Rips complex
Institut Henri Poincaré seminar, Paris (France) [2018-10-29]
[ slides ]

R Package TDA for Statistical Inference on Topological Data Analysis and Lessons from its Maintenance
Pittsburgh (USA) [2018-10-11]
[ slides | tutorial | code ]

R Package TDA for Topological Data Analysis
Educational Forum on the Teaching of Computational Geometry and Topology: Some History, Current Practice, and Future Trends in The 34th International Symposium on Computational Geometry, Budapest (Hungary) [2018-06-13]
[ slides | tutorial | code ]

Estimating the Reach of a Manifold
Statistical Topological Data Analysis II in 42nd SIAM Southeastern Atlantic Sectional Conference, Chapel Hill (USA) [2018-03-10]
[ slides ]

Introduction to the R package TDA
Synergies in Geometric Data Analysis in Advances in Neural Information Processing Systems 30 (NIPS 2017), Long Beach (USA) [2017-12-09]
[ slides | tutorial | code ]

Statistical inference on persistent homology of density filtration on Rips complex
Topological Methods in Brain Network Analysis, Banff (Canada) [2017-05-08]
[ slides | video ]

R Package TDA for Statistical Inference on Topological Data Analysis
Topological Methods in Brain Network Analysis, Banff (Canada) [2017-05-08]
[ slides | tutorial | code | video ]

Statistical Inference on Topological Data Analysis
AMS Special Session on Statistical Methods in Computational Topology and Applications in 2017 Joint Mathematics Meetings, Atlanta (USA) [2017-01-04]
[ slides | abstract ]

R Package TDA for Statistical Inference on Topological Data Analysis
5th Mini Symposium on Computational Topology in The 32nd International Symposium on Computational Geometry, Boston (USA) [2016-06-16]
[ slides | abstract ]

Minimax Rate for Estimating the Dimension of a Manifold
Special Session on Topological Data Analysis: Computations, Statistics, and Applications in AMS Fall Eastern Sectional Meeting, New Brunswick (USA) [2015-11-14]
[ slides | abstract ]

Minimax Rate for Dimension Estimator
The 60th ISI World Statistics Congress, Rio de Janeiro (Brazil) [2015-07-27]
[ slides ]

Tutorial on the R Package TDA
The 4th Annual Minisymposium on Computational Topology in The 31st International Symposium on Computational Geometry, Eindhoven (Netherlands) [2015-06-23]
[ slides | tutorial | code ]

Minimax Rate for Estimating the Dimension of a Manifold
TopData in Inria Geometrica, Paris (France) [2015-05-28]
[ slides ]


Poster

Persistent homology of KDE filtration on Rips complex
Workshop on Applied Topology 2019, Kyoto (Japan) [2019-01-08]
[ poster | abstract ]

R Package TDA for Statistical Inference on Topological Data Analysis
Joint Statistical Meetings 2017, Baltimore (USA) [2017-07-30]
[ poster | abstract ]

Estimating the Reach of a Manifold
UC Davis RTG Statistical Sciences Symposium: Geometry, Statistics and Data Analysis,Davis (USA) [2017-05-19]
[ poster ]

R Package TDA: Statistical Tools for Topological Data Analysis
ASA Pittsburgh Chapter Spring Banquet, Pittsburgh (USA) [2017-04-04]
[ poster ]

Statistical Inference for Cluster Trees
Advances in Neural Information Processing Systems 29 (NIPS 2016), Barcelona (Spain) [2016-12-06]
[ poster ]

Minimax Reach Estimator
Topology, Geometry, and Data Analysis Conference at OSU, Columbus (USA) [2016-05-16]


Thesis

Thesis
[ slides | paper ]

Thesis Proposal
[ paper ]