Pinboard (cshalizi)

Pinboard (cshalizi) https://pinboard.in/u:cshalizi/public/ recent bookmarks from cshalizi [2306.09335] Class-Conditional Conformal Prediction With Many Classes 2023-06-28T01:20:22+00:00 https://arxiv.org/abs/2306.09335 cshalizi conformal_prediction tibshirani.ryan jordan.michael_i. clustering in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:3cdcb7591f00/ [2305.05465] The emergence of clusters in self-attention dynamics 2023-05-13T17:46:24+00:00 https://arxiv.org/abs/2305.05465 cshalizi in_NB large_language_models_(so_called) interacting_particle_systems clustering !!! to_read rigollet.philippe via:mraginsky re:large_language_models_in_statistical_perspective https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a4cab6cd76f9/ A social perspective on perceived distances reveals deep community structure | PNAS 2022-01-31T14:25:30+00:00 https://www.pnas.org/content/119/4/e2003634119 cshalizi to:NB clustering community_discovery https://pinboard.in/ https://pinboard.in/u:cshalizi/b:10c700d57f3f/ [2107.07489] Clustering of heterogeneous populations of networks 2021-08-11T18:42:50+00:00 https://arxiv.org/abs/2107.07489 cshalizi in_NB clustering network_data_analysis re:network_differences newman.mark kith_and_kin statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:15a8e80b2b7b/ [2107.14677] Inference for Dependent Data with Learned Clusters 2021-08-03T04:44:31+00:00 https://arxiv.org/abs/2107.14677 cshalizi to:NB spatial_statistics clustering network_data_analysis to_read statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:a2dcdacdd605/ [2009.04096] A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis 2021-07-12T15:32:33+00:00 https://arxiv.org/abs/2009.04096 cshalizi to:NB mixture_models clustering inference_to_latent_objects likelihood psychometrics statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:be792de6fa63/ [2107.03684] Assigning Topics to Documents by Successive Projections 2021-07-09T14:32:11+00:00 https://arxiv.org/abs/2107.03684 cshalizi to:NB topic_models text_mining tsybakov.alexandre clustering statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:35ac01acf120/ [2106.02589] On Ensembling vs Merging: Least Squares and Random Forests under Covariate Shift 2021-06-08T13:55:10+00:00 https://arxiv.org/abs/2106.02589 cshalizi to:NB ensemble_methods prediction clustering statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c784d0848e5a/ [2003.00381] Statistical power for cluster analysis 2021-04-22T15:32:01+00:00 https://arxiv.org/abs/2003.00381 cshalizi to:NB clustering to_teach:data-mining color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6df8375fa239/ Amini , Razaee : Concentration of kernel matrices with application to kernel spectral clustering 2021-02-04T15:28:42+00:00 https://projecteuclid.org/euclid.aos/1611889238 cshalizi kernel_methods concentration_of_measure clustering spectral_clustering random_matrices in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:539e93ef950f/ [2101.08334] Density-based clustering of social networks 2021-01-25T16:08:15+00:00 https://arxiv.org/abs/2101.08334 cshalizi to:NB network_data_analysis clustering community_discovery color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:719d5711e754/ [2101.01908] Factor Modelling for Clustering High-dimensional Time Series 2021-01-07T21:47:31+00:00 https://arxiv.org/abs/2101.01908 cshalizi to:NB clustering factor_analysis time_series https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1217b18544b8/ Phys. Rev. E 103, 012105 (2021) - Cascade of phase transitions for multiscale clustering 2021-01-06T17:12:22+00:00 https://journals.aps.org/pre/abstract/10.1103/PhysRevE.103.012105 cshalizi to:NB clustering phase_transitions https://pinboard.in/ https://pinboard.in/u:cshalizi/b:87aad9991361/ Sanders , Proutière , Yun : Clustering in Block Markov Chains 2020-12-11T17:26:24+00:00 https://projecteuclid.org/euclid.aos/1607677244 cshalizi to:NB markov_models statistical_inference_for_stochastic_processes clustering statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7c12332b27bd/ Small summaries for big data | Knowledge management, databases and data mining | Cambridge University Press 2020-11-30T17:32:10+00:00 https://www.cambridge.org/9781108477444 cshalizi to:NB books:noted random_projections locality-sensitive_hashing dimension_reduction clustering data_mining computational_statistics to_teach:data-mining books:in_library books:have_suggested_to_library downloaded re:codename:catherine_wheel https://pinboard.in/ https://pinboard.in/u:cshalizi/b:8fb436ef1b8f/ [1909.10832] High-dimensional clustering via Random Projections 2020-11-25T14:19:10+00:00 https://arxiv.org/abs/1909.10832 cshalizi to:NB clustering random_projections data_mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:814eb4c5041a/ Verdinelli , Wasserman : Hybrid Wasserstein distance and fast distribution clustering 2020-11-16T16:12:38+00:00 https://projecteuclid.org/euclid.ejs/1576119710 cshalizi to:NB probability statistics clustering kith_and_kin wasserman.larry verdinelli.isa heard_the_talk https://pinboard.in/ https://pinboard.in/u:cshalizi/b:105837eab23d/ Is Clustering Advantageous in Statistical Ill-Posed Linear Inverse Problems? - IEEE Journals & Magazine 2020-11-16T16:09:39+00:00 https://ieeexplore.ieee.org/document/9159654 cshalizi to:NB clustering inverse_problems statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f30dcf739c31/ <italic>k</italic>-Vectors: An Alternating Minimization Algorithm for Learning Regression Functions - IEEE Journals & Magazine 2020-11-16T16:08:36+00:00 https://ieeexplore.ieee.org/document/9136791 cshalizi to:NB clustering regression nonparametrics statistics k-means nearest_neighbors to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:fd9acdc3e960/ Clustering with statistical error control - Vogt - - Scandinavian Journal of Statistics - Wiley Online Library 2020-11-15T20:51:15+00:00 https://doi.org/10.1111/sjos.12450 cshalizi to:NB clustering hypothesis_testing statistics to_read to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:c79397a7e54a/ [2001.01987] Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring 2020-03-18T17:56:52+00:00 https://arxiv.org/abs/2001.01987 cshalizi to:NB neural_networks classifiers clustering k-means adversarial_examples via:arsyed https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1f1d75e91ff6/ High-dimensional Time Series Clustering via Cross-Predictability 2020-02-16T16:28:47+00:00 http://proceedings.mlr.press/v54/hong17a.html cshalizi to:NB time_series clustering statistics via:vaguery color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:22dc14dd624e/ [1902.10288] Clustering, factor discovery and optimal transport 2020-01-31T00:20:49+00:00 https://arxiv.org/abs/1902.10288 cshalizi to:NB clustering factor_analysis inference_to_latent_objects statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9c27e8511952/ Frontal cortex neuron types categorically encode single decision variables | Nature 2019-12-06T15:36:09+00:00 https://www.nature.com/articles/s41586-019-1816-9 cshalizi to:NB neuroscience decision-making neural_coding_and_decoding clustering https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f612847d10cc/ Capturing the Forest but Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics | Neural Computation | MIT Press Journals 2019-10-24T14:52:17+00:00 https://www.mitpressjournals.org/doi/full/10.1162/neco_a_01229 cshalizi to:NB clustering neuroscience neural_data_analysis https://pinboard.in/ https://pinboard.in/u:cshalizi/b:f94e5139fbe1/ The Informativeness of $k$-Means for Learning Mixture Models - IEEE Journals & Magazine 2019-10-24T14:29:44+00:00 https://ieeexplore.ieee.org/document/8758223 cshalizi to:NB k-means clustering mixture_models to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:67fc5d172f77/ [1910.06943] The Local Elasticity of Neural Networks 2019-10-16T15:51:32+00:00 https://arxiv.org/abs/1910.06943 cshalizi adversarial_examples neural_networks your_favorite_deep_neural_network_sucks clustering statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cc210569d434/ [1910.04939] Rk-means: Fast Clustering for Relational Data 2019-10-15T18:08:55+00:00 https://arxiv.org/abs/1910.04939 cshalizi to:NB relational_learning data_mining k-means clustering to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:18d422e3d7fc/ Estimating the Number of Clusters Using Cross-Validation: Journal of Computational and Graphical Statistics: Vol 0, No 0 2019-10-01T16:20:36+00:00 https://www.tandfonline.com/doi/full/10.1080/10618600.2019.1647846 cshalizi to:NB cross-validation clustering k-means statistics perry.patrick_o. to_read to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:da89de164589/ [1909.09370] Consensual aggregation of clusters based on Bregman divergences to improve predictive models 2019-09-23T14:37:06+00:00 https://arxiv.org/abs/1909.09370 cshalizi to:NB clustering regression statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b8987e96e064/ [1909.06511] A highly likely clusterable data model with no clusters 2019-09-18T12:51:17+00:00 https://arxiv.org/abs/1909.06511 cshalizi to:NB clustering geometry probability random_projections data_mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4312f0086079/ [1908.09946] An empirical comparison between stochastic and deterministic centroid initialisation for K-Means variations 2019-09-15T14:22:10+00:00 https://arxiv.org/abs/1908.09946 cshalizi to:NB clustering k-means data_mining to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2a411d4f9e54/ [1908.07031] Evaluating Hierarchies through A Partially Observable Markov Decision Processes Methodology 2019-08-21T13:17:49+00:00 https://arxiv.org/abs/1908.07031 cshalizi to:NB clustering hierarchical_structure information_retrieval to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ba57f7ffe636/ [1708.05254] Adaptive Clustering Using Kernel Density Estimators 2019-08-20T15:34:14+00:00 https://arxiv.org/abs/1708.05254 cshalizi to:NB density_estimation clustering statistics kernel_smoothing https://pinboard.in/ https://pinboard.in/u:cshalizi/b:360ad9210178/ [1908.01794] Some Developments in Clustering Analysis on Stochastic Processes 2019-08-07T12:29:36+00:00 https://arxiv.org/abs/1908.01794 cshalizi to:NB stochastic_processes ergodic_theory clustering https://pinboard.in/ https://pinboard.in/u:cshalizi/b:fbbeae07f608/ [1908.01039] Linear Dynamics: Clustering without identification 2019-08-06T14:45:25+00:00 https://arxiv.org/abs/1908.01039 cshalizi to:NB clustering time_series statistics data_mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ec791d241cef/ [1907.07582] Testing for Unobserved Heterogeneity via k-means Clustering 2019-07-18T10:55:01+00:00 https://arxiv.org/abs/1907.07582 cshalizi hypothesis_testing model_selection model_checking clustering statistics in_NB time_series have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:1cda8c06d404/ Model based clustering and classification 2019-05-14T15:51:14+00:00 https://www.cambridge.org/9781108494205 cshalizi to:NB books:noted classifiers clustering statistics raftery.adrian https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7836a1deb5ca/ [1903.08125] Predictive Clustering 2019-04-11T00:23:45+00:00 https://arxiv.org/abs/1903.08125 cshalizi to:NB statistics kith_and_kin prediction clustering rinaldo.alessandro wasserman.larry https://pinboard.in/ https://pinboard.in/u:cshalizi/b:65859d38374c/ [1802.04397] Identifiability of Nonparametric Mixture Models and Bayes Optimal Clustering 2018-03-27T00:34:29+00:00 http://lanl.arxiv.org/abs/1802.04397 cshalizi to:NB mixture_models clustering statistics xing.eric ravikumar.pradeep https://pinboard.in/ https://pinboard.in/u:cshalizi/b:aebbc3bb3eec/ Higher-order organization of complex networks | Science 2016-12-13T14:43:28+00:00 http://science.sciencemag.org/content/353/6295/163 cshalizi to:NB to_read network_data_analysis clustering statistics color_me_skeptical https://pinboard.in/ https://pinboard.in/u:cshalizi/b:5e27e42572fb/ Predictability and hierarchy in Drosophila behavior 2016-10-18T21:04:50+00:00 http://www.pnas.org/content/113/42/11943.abstract cshalizi to:NB clustering data_mining biology information_theory statistics bialek.william https://pinboard.in/ https://pinboard.in/u:cshalizi/b:409a3bc79e22/ [1507.05910] Clustering is Efficient for Approximate Maximum Inner Product Search 2015-08-05T17:51:33+00:00 http://arxiv.org/abs/1507.05910 cshalizi to:NB databases hashing clustering k-means nearest_neighbors locality-sensitive_hashing data_mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:beb119aaae96/ [1507.02284] The Information Sieve 2015-08-05T16:27:53+00:00 http://arxiv.org/abs/1507.02284 cshalizi to:NB information_theory inference_to_latent_objects factor_analysis clustering statistics kith_and_kin ver_steeg.greg galstyan.aram https://pinboard.in/ https://pinboard.in/u:cshalizi/b:008a92480f1d/ [1507.03194] A Review of Nonnegative Matrix Factorization Methods for Clustering 2015-08-05T16:23:46+00:00 http://arxiv.org/abs/1507.03194 cshalizi to:NB low-rank_approximation clustering statistics data_mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cf45d9fb1975/ [1507.06352] Co-clustering of Nonsmooth Graphons 2015-08-05T14:59:02+00:00 http://arxiv.org/abs/1507.06352 cshalizi to:NB network_data_analysis clustering graph_limits statistics kith_and_kin choi.david_s. to_teach:graphons https://pinboard.in/ https://pinboard.in/u:cshalizi/b:df67a75fa650/ [1506.05900] Representation Learning for Clustering: A Statistical Framework 2015-07-14T09:50:06+00:00 http://arxiv.org/abs/1506.05900 cshalizi to:NB machine_learning representation learning_theory clustering vc-dimension https://pinboard.in/ https://pinboard.in/u:cshalizi/b:6432afb4e8cc/ The geometry of graphs and some of its algorithmic applications (Linial, London and Rabinovich, 1995) 2015-07-14T04:02:31+00:00 http://link.springer.com/article/10.1007/BF01200757 cshalizi in_NB graph_theory dimension_reduction mathematics random_projections clustering have_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:bfbac4c36470/ Inference of Population Structure Using Multilocus Genotype Data 2014-06-08T12:10:19+00:00 http://www.genetics.org/content/155/2/945.short cshalizi to:NB genetics have_read clustering statistics to_teach:data-mining historical_genetics via:arthegall latent_dirichlet_allocation topic_models to:blog https://pinboard.in/u:cshalizi/b:c38b295faa36/ What did we learn from Rosenberg et al. 2002, actually? | Ancestry matters 2014-06-04T12:35:44+00:00 http://paintmychromosomes.blogspot.com/2014/06/what-did-we-learn-from-rosenberg-et-al.html cshalizi historical_genetics clustering statistics to_teach:data-mining to_teach:undergrad-ADA via:arthegall track_down_references latent_dirichlet_allocation https://pinboard.in/ https://pinboard.in/u:cshalizi/b:eb60732ffe45/ The Algebra of Blockmodeling 2014-03-27T21:37:27+00:00 http://www.jstor.org/stable/270873 cshalizito_read algebra network_data_analysis community_discovery clustering re:network_differences in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:7afae637a588/ Clustering Hidden Markov Models with Variational HEM 2014-03-13T14:18:32+00:00 http://jmlr.org/papers/v15/coviello14a.html cshalizi to:NB markov_models state-space_models clustering time_series variational_inference statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:dc91071effcf/ Spontaneous Clustering via Minimum Gamma-Divergence 2014-03-11T21:14:03+00:00 http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00547 cshalizi to:NB model_selection clustering statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:ad8910c64e8e/ [1401.0871] Stylistic Clusters and the Syrian/South Syrian Tradition of First-Millennium BCE Levantine Ivory Carving: A Machine Learning Approach 2014-03-09T17:13:14+00:00 http://arxiv.org/abs/1401.0871 cshalizi to:NB clustering art_history archaeology ancient_history ancient_trade statistics wiggins.christopher kith_and_kin to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:151d8191f91f/ CID: an efficient complexity-invariant distance for time series - Springer 2014-02-19T02:47:38+00:00 http://link.springer.com/article/10.1007/s10618-013-0312-3 cshalizi to:NB time_series clustering classifiers data_mining complexity_measures statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b818e22f6c68/ Subspace clustering of high-dimensional data: a predictive approach - Springer 2014-02-19T02:46:07+00:00 http://link.springer.com/article/10.1007/s10618-013-0317-y cshalizi to:NB low-rank_approximation principal_components clustering data_mining statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:e61894d2a58c/ [1301.6647] Feature allocations, probability functions, and paintboxes 2014-01-20T21:27:53+00:00 http://arxiv.org/abs/1301.6647 cshalizi heard_the_talk clustering probability exchangeability stochastic_processes jordan.michael_i. in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4305d1ad923b/ [1312.3790] Sample Complexity of Dictionary Learning and other Matrix Factorizations 2014-01-02T17:52:57+00:00 http://arxiv.org/abs/1312.3790 cshalizi low-rank_approximation learning_theory clustering factor_analysis statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9a4f571e8eee/ Divvy: Fast and Intuitive Exploratory Data Analysis 2013-11-18T14:43:37+00:00 http://jmlr.org/papers/v14/lewis13a.html cshalizi to:NB visual_display_of_quantitative_information data_mining clustering to_teach:data-mining https://pinboard.in/ https://pinboard.in/u:cshalizi/b:64dad777a9c9/ [1311.1903] Moment-based Uniform Deviation Bounds for $k$-means and Friends 2013-11-14T04:49:17+00:00 http://arxiv.org/abs/1311.1903 cshalizi clustering k-means deviation_inequalities mixture_models learning_theory statistics telgarsky.matus heard_the_talk in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:945a43f138f9/ [1310.4249] Mapping the structure of drosophilid behavior 2013-10-23T22:21:21+00:00 http://arxiv.org/abs/1310.4249 cshalizi to:NB biology psychology clustering bialek.william to_read https://pinboard.in/ https://pinboard.in/u:cshalizi/b:2469c4104486/ [1310.4210] Demystifying Information-Theoretic Clustering 2013-10-23T19:52:15+00:00 http://arxiv.org/abs/1310.4210 cshalizi clustering information_theory statistics kith_and_kin dedeo.simon ver_steeg.greg galstyan.aram to_teach:data-mining have_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:b665d03f23af/ [1307.5339] The Cluster Graphical Lasso for improved estimation of Gaussian graphical models 2013-07-26T16:38:51+00:00 http://arxiv.org/abs/1307.5339 cshalizi to:NB sparsity graphical_models lasso clustering statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:73a45418d335/ Taylor & Francis Online :: Clustering High-Dimensional Time Series Based on Parallelism - Journal of the American Statistical Association - Volume 108, Issue 502 2013-07-03T16:34:33+00:00 http://www.tandfonline.com/doi/abs/10.1080/01621459.2012.760458#.UdRPpRbPUlM cshalizi to:NB time_series clustering statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:64ffadd3522b/ [1306.2194] Adaptive Noisy Clustering 2013-06-11T22:26:53+00:00 http://arxiv.org/abs/1306.2194 cshalizi clustering density_estimation statistics in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:cdb027004d08/ [1305.6228] Detecting hierarchical and overlapping network communities using locally optimal modularity changes 2013-05-28T17:33:56+00:00 http://arxiv.org/abs/1305.6228 cshalizi community_discovery network_data_analysis clustering in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:4a8f8e8c011e/ [1305.5879] Statistical Significance of Clustering using Soft Thresholding 2013-05-28T17:33:35+00:00 http://arxiv.org/abs/1305.5879 cshalizi clustering mixture_models goodness-of-fit statistics in_NB high-dimensional_statistics https://pinboard.in/ https://pinboard.in/u:cshalizi/b:16b6d2746542/ [1305.4757] Power to the Points: Validating Data Memberships in Clusterings 2013-05-22T02:50:44+00:00 http://arxiv.org/abs/1305.4757 cshalizi clustering data_mining to_teach:data-mining venkatasubramanian.suresh have_read in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:155017712790/ [1304.6478] The K-modes algorithm for clustering 2013-04-25T16:40:19+00:00 http://arxiv.org/abs/1304.6478 cshalizi clustering data_mining in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:9f052b5aa948/ [1304.3432] Machine Learning, Clustering, and Polymorphy 2013-04-16T01:04:47+00:00 http://arxiv.org/abs/1304.3432 cshalizi clustering cognitive_science data_mining hanson.stephen_jose to_teach:data-mining in_NB https://pinboard.in/ https://pinboard.in/u:cshalizi/b:817dc227b01a/