参加希望の方は採用ページをご覧下さい。 学生の方は, 夏季実習・一般実習でも参加できます。 実習については, 大学または, 最寄りの所員までどうぞ。
日程: 毎週金曜日 15:00-, @3階 交流コーナ.
- 注: 現在, 発表資料は外部へは公開していませんのでご注意ください。
2013 2012 2011 2010 2009 2008 2007
12/17 (金) 久保
- Bayesian Conditional Random Fields, Y. Qi, M. Szummer, T. P. Minka, Proc. of AI & Statistics 2005.
- PDF: "2005_Bayesian conditional random fields.pdf"
- Slide: BayesianCRF.pdf
12/3(金) 上田
- Deterministic Single-Pass Algorithm for LDA, I.Sato, K. Kurihara, H. Nakagawa, NIPS2010
- PDF: NIPS2010_0800.pdf
- Slide: 2010-1203.pdf
11/19(金) 澤田
- Kernelized Locality-Sensitive Hashing for Scalable Image Search, B. Kulis & K. Grauman, ICCV2009
- PDF: http://www.cs.berkeley.edu/~kulis/pubs/iccv_klsh.pdf
- Slide: bayes101119.pdf
10/29(金) 藤原
- New development of digital signal processing via sampled-data control theory, Y. Yamamoto, International Conference on Modeling, Estimation and Control, 2007.
- PDF: digitalfilter_101029.pdf
- Slides: bayes101029.pdf
10/15(金) 石黒
- Distance dependent Chinese restaurant processes, D. M. Blei and P. Frazier, ICML2010.
- PDF: Blei_Frazier10ICML.pdf
- Slides: 101015.pdf
10/8(金) Kevin
- Sutton/Jordan, Bayesian inference for Queuing Networks and Modeling of Internet Services (Annals of Applied Statistics, to appear)
- http://arxiv.org/abs/1001.3355
- Slides: brg-sutton10.pdf
10/1(金) 岩田
- トピック依存の影響伝播の解析に関する論文の紹介
- Mining Topic-level Influence in Heterogeneous Network, Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, and Shiqiang Yang, CIKM2010
- http://keg.cs.tsinghua.edu.cn/persons/tj/publications/CIKM10-Liu-et-al-Mining-Topic-Level-Influence.pdf
- Slides: bayesstudy101001.ppt
9/16(木) 持橋
- "PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names", Mark Johnson, ACL 2010.
- http://aclweb.org/anthology-new/P/P10/P10-1117.pdf
- 参考論文A: Mark Johnson and Sharon Goldwater (2009) "Improving nonparameteric Bayesian inference: experiments on unsupervised word segmentation with adaptor grammars", NAACL 2009.
- http://aclweb.org/anthology-new/N/N09/N09-1036.pdf
- 参考論文B: Mark Johnson, Thomas L. Griffiths and Sharon Goldwater (2007) "Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models", NIPS 2006.
- http://web.science.mq.edu.au/~mjohnson/papers/JohnsonGriffithsGoldwater06AdaptorGrammars.pdf
9/9 (木) 歐陽
- Face Recognition and Photo Annotation using Social Network Context
- Reference 1: Z. Stone, T. Zickler, T. Darrell. Toward Large-Scale Face Recognition Using Social Network Context. Proceedings of the IEEE, Vol. 98, No. 8, 2010.
- Reference 2: Z. Stone, T. Zickler, T. Darrell. Autotagging Facebook: Social Network Context Improves Photo Annotation. Proceedings of the 1st IEEE Workshop on Internet Vision, co-located with CVPR 2008.
- Also related: A. Gallagher, T. Chen, Understanding Images of Groups of People, IEEE Conference on Computer Vision and Pattern Recognition 2009.
- Slides: auyeung-20100909.pdf
9/3(金) 杉山
- 言語獲得初期の幼児のgrammarをHDP-PCFG的な手法で解析する論文を紹介します.本文・Support Informationに書かれていない部分が非常に多いですが,出来る限り補足します.
- Colin Bannard, Elena Lieven, Michael Tomasello, Modeling children's early grammatical knowledge, PNAS 2009
- http://www.pnas.org/content/106/41/17284.full
- 関連文献1:J. Finkel et al, The infinite tree, http://www.stanford.edu/~jrfinkel/papers/infinite_tree.pdf
- 関連文献2: P.Liang et al, The Infinite PCFG using HDP, http://www.aclweb.org/anthology/D/D07/D07-1072.pdf
- 資料: PNAS2009_100903.pdf
8/27(金) 吉田
- Chenghua Lin, Yulan He, Joint sentiment/topic model for sentiment analysis, CIKM 2009
- http://people.kmi.open.ac.uk/yulan/PAPERS/JST_CIKM09.pdf
8/20(金) 持橋
- David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller. "Non-Local Contrastive Objectives". ICML 2010.
- http://www.stanford.edu/~dvickrey/contrastive.pdf
- 資料: icml2010-contrastive.pdf
- "Particle Filtered MCMC-MLE with Connections to Contrastive Divergence", Arthur Asuncion, Qiang Liu, Alex Ihler, Padhraic Smyth (UC Irvine), ICML 2010.
- http://icml2010reading.googlegroups.com/web/ICML2010%E8%AA%AD%E3%82%80%E4%BC%9A_satoh.pdf
- 参考: T-PRIMAL ICML2010読む会 http://groups.google.co.jp/group/icml2010reading
8/6(金) 進藤
- B. Snyder, R. Barzilay, and K. Knight, A Statistical Model for Lost Language Decipherment, ACL2010
- http://people.csail.mit.edu/bsnyder/papers/bsnyder_acl2010.pdf
- 資料: acl2010Ben-4.pdf
7/30(金) 藤野
- David M. Blei and John D. Lafferty, Correlated Topic Models, In NIPS'06, http://www.cs.cmu.edu/~lafferty/pub/ctm.pdf
- 関連論文: Jun Zhu and Eric P. Xing, Conditional Topic Random Fields, In ICML-2010, http://www.icml2010.org/papers/420.pdf
- 資料: 100730.pdf
7/20(火) 石黒
- スパースなGaussian Processモデルの論文です.
- Yan, F. and Qi, Y., "Sparse Gaussian Process Regression via L1 Penalization", ICML2010.
- 論文:Yan_Qi10ICML.pdf
- 説明資料:100720.ppt
7/9(金) 上田
- JASAの論文(重点サンプリングの元祖論文。粒子フィルターとの関連も興味深い。ノンパラベイズでの応用も有り。)を紹介します。
- Sequential Imputations and Bayesian Missing Data Problems, A. Kong, J.S. Liu, and W. H. Wong, Journal of the American Statistical Association (JASA), Vol.89, No.425, pp.278-288, 1994.
- 論文: SI.pdf
- 説明資料: ueda0709.pdf
6/25(金) 欧陽
- Data mining in Facebook.
- Reference 1: ePluribus : Ethnicity on Social Networks’ J. Chang, I. Rosenn, L. Backstrom and C. Marlow. ICWSM 2010.
- Reference 2: ‘Find Me If You Can: Improving Geographical Prediction with Social and Spatial Proximity’. L. Backstrom, E. Sun and C. Marlow. WWW 2010
- Presentation Slides: auyeung-facebook-20100625.ppt
6/18(金) 岩田
- ネットワークデータの階層構造推定の論文を紹介します。
- Structural Inference of Hierarchies in Networks, A. Clauset, C. Moore, M. Newman, ICML2006 workshop, http://nlg.cs.cmu.edu/icml_sna/paper5_final.pdf
- 参考文献: Hierarchical structure and the prediction of missing links in networks. A. Clauset, C. Moore, M. Newman, Nature, 2008, http://www.nature.com/nature/journal/v453/n7191/pdf/nature06830.pdf
- 発表資料: bayesstudy100618.ppt
6/4(金) Kevin
- "Bundle Methods for Machine Learning". Teo, Vishwanathan, Le, Smola.
- JMLR Journal version (Jan 2010): http://jmlr.csail.mit.edu/papers/v11/teo10a.html
- NIPS conference version (2007): http://books.nips.cc/papers/files/nips20/NIPS2007_0470.pdf
- Slides: BayesRG-bundle.pdf
5/28(金) CS研オープンハウスのため休み
5/24(月) 持橋
- "Painless Unsupervised Learning with Features". Taylor Berg-Kirkpatrick, Alexandre Bouchard-Cote, John DeNero, and Dan Klein. NAACL 2010.
- http://www.eecs.berkeley.edu/~denero/research/papers/naacl10_berg-Kirkpatrick_painless.pdf
- 参考: "Optimization with EM and Expectation-Conjugate-Gradient", Salakhutdinov et al., ICML 2003. http://www.cs.toronto.edu/~rsalakhu/papers/emecg.pdf
5/14(金) 渡部
- "AN INITIAL ATTEMPT FOR PHONEME RECOGNITION USING STRUCTURED SUPPORT VECTOR MACHINE (SVM) ", Hao Tang; Chao-Hong Meng, and Lin-Shan Lee, ICASSP 2010
- Structured SVMの音素認識への応用です
- 資料: ssvm_for_phoneme_recognition.pdf
- PPT: ssvm_asr.ppt
5/7(金) 澤田
- NMFにおけるAuxiliary functionとEM algorithmについて
- NMF: non-negative matrix factorization
- Auxiliary function
- EM (expectation-maximization) algorithm
- PLSA: Probabilistic Latent Semantic Analysis
- 一つの文献を紹介するのではなく,4つほどの文献から標記の話題について説明します.下記の資料はself-containedに作ったつもりですので,特に文献の印刷は必要ないと思います.あえて何か一つ印刷するとすれば,一番基本となる [Lee & Seung 2001] Algorithm for Non-negative Matrix Factorization, NIPS でしょうか.
- 資料: bayes100507sawada.pdf
- 補足資料(上田): nfm-em-ueda2.pdf
4/23(金) 坂野
- Rob Fergus, Yair Weiss and Antonio Torralba, Semi-supervised Learning in Gigantic Image Collections, In NIPS'09
- 論文: fwt_ssl.pdf
- 資料: bayesian20100423.pdf
- 資料2: 100423-sup.pdf
- 参考資料 プレゼンスライド:nips09_fergus_sslg_01.pdf
- 参考資料 Edinburghの C. Suttonのコース Data Mining and Exploration の講義資料:Semi-supervised_Learning_in_Gigantic_Image_Collections.pdf
4/16(金) 藤野
- Yan Wang, et al., A Rate Distortion Approach for Semi-Supervised Conditional Random Fields, In NIPS'09, http://www.sfu.ca/~ywang12/papers/nips09.pdf
- 資料: 100416.pdf
- 参考資料 : Efficient computation of entropy gradient for semi-supervised conditional random fields, p109-mann.pdf
- 参考資料: The Information Bottleneck Method, http://www.cis.upenn.edu/~pereira/papers/allerton.pdf
4/6(火) 欧陽
- "Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors", WWW, 2010 (by Takeshi Sakaki, Makoto Okazaki, Yutaka Matsuo)
- Paper: www2010-twitter.pdf
- Slides: twitter-20100406-auyeung.pdf
3/23(火) 進藤
- "Kernelized sorting", NIPS, 2008
- http://alex.smola.org/papers/2009/QuaSonSmo09.pdf
- presentation slides: KernelizedSorting.pptx
- memo: KernelizedSortingMemo.pdf
3/23(火) : 上田(ueda-100323.ppt)
3/2(火) : 藤野(fujino-100302.pdf)
25(木) : Kevin (BayesRG-NIPS09review-kevin.pdf)、岩田 (NIPS2009reading.ppt)
16(火) : 進藤、欧陽(nips09-presentation-auyeung.pdf)、石黒(nips09-presentation-ishiguro.ppt)
2/9(火) : 坂野(nips2010sakano.pdf)、澤田(bayes100209sawada.pdf)、持橋
2/2(火) Kevin
- "Estimation and Clustering with Infinite Rankings", Meila & Bao, UAI2008
- http://uai2008.cs.helsinki.fi/UAI_camera_ready/meila.pdf
- presentation slides: meila08.ppt
1/26(火) 渡部
- "Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition", NIPS2009
- http://books.nips.cc/papers/files/nips22/NIPS2009_0441.pdf
- 資料:nn_v1.ppt
1/19(火) 青山
- "Fast nearest neighbor retrieval for Bregman divergences," L. Cayton, ICML2008:CaytonICML2008.pdf
- Bregman divergence を非類似度尺度としたnon-metric spacesでの探索方法の提案。Bregman ballという概念を導入し、metric spacesに使用されるmetric treeをnon-metric spacesに拡張。画像データを対象としたheuristic searchで評価。
- 資料:CaytonSlidesPlus.pdf
- (参考)CaytonのICML2008の方法(k-NN search)をrange searchへ拡張("Efficient Bregman range search," NIPS2009):CaytonNIPS2009.pdf
- (参考)Cayton流とは異なるアプローチ、対象となるd次元ユークリッド空間をbase convex functionの値を要素とする1次元を追加したd+1次元空間に変換("Similarity search on Bregman divergence: Towards non-metirc indexing," VLDB2009):ZhangVLDB2009.pdf
- (参考)我々の提案するKL-divergenceを非類似度としたnon-metric spaceを対象とする探索法(ICASSP2010):AoyamaICASSP2010.pdf
1/14(木) 岩田、石黒
- NIPS 2009、ICCV 2009 報告サーベイ
- NIPS報告資料:NIPS2009survey.pdf
1/5(火)坂野
- Jigang Wang, Predrag Neskovic, Leon N. Cooper,"Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence," Pattern Recognition 39 (2006) 417-423 を紹介します.解法はともかく問題が少し面白いと思いました.
- 論文:WangNeskovicCooper2006.pdf
- 資料:Bayes100105.pdf