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
12/6(金) : 岩田
- "Iterative discovery of multiple alternative clustering views,"
- D. Niu, J. Dy, and M. I. Jordan,
- IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear
- http://www.cs.berkeley.edu/~jordan/papers/niu-dy-jordan-pami.pdf
- slide:"bayes20131206.pdf"
11/29(金) : マチュー
- Xia Ning and George Karypis "SLIM: Sparse Linear Methods for Top-N Recommender Systems"
- slide: "slim-presen.pdf"
11/22(金) : コロキウムのためお休み
11/15(金) : 中野
- N. L. Ackerman, C. E. Freer, and D. M. Roy, ''On the computability of conditional probability,'' preprint.
- http://arxiv.org/abs/1005.3014
- slide: "Bayes131115.pdf"
11/8(金) : 吉川
- Pengtao Xie and Eric Xing, "Integrating document clustering and topic modeling", UAI 2013.
- paper: http://arxiv.org/ftp/arxiv/papers/1309/1309.6874.pdf
- slides: "2013-11-08-ベイズ勉強会.pdf"
11/1(金) : 休み
10/25(金) : 坂野
- Roi Livni, David Lehavi, Sagi Schein, Hila Nachlieli, Shai Shalev-Shwartz and Amir Globerson,"Vanishing Component Analysis"
- http://jmlr.org/proceedings/papers/v28/livni13.pdf
- slides: "Bayes勉強会20131025.pptx"
10/18(金) : ITS世界会議のためお休み
10/11(金) : Hyvarinen講演のためお休み
10/4(金) : 久保
- M.A. Carreira-Perpinan, W. Wang, "Distributed optimization of deeply nested systems"
- http://arxiv.org/abs/1212.5921
- slides: "bayes_slides_201310_kubo.pdf"
9/27(金) : 石畠
- Aika Terada, Mariko Okada-Hatakeyama, Koji Tsuda, and Jun Sese. "Statistical significance of combinatorial regulations", PNAS 2013.
- paper: http://www.pnas.org/content/early/2013/07/22/1302233110.abstract
- slides: "ishihata-bayes-130927.pptx"
9/20(金) : 藤野
- Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, and Jieping Ye. "Multi-source learning with block-wise missing data for Alzheimer's disease prediction", KDD-2013
- paper: http://dl.acm.org/citation.cfm?id=2487575.2487594
- slides: "130920-fujino.pptx"
- 参考論文: "Yuan-iMSF.pdf"
9/13(金) : 進藤
- Haonan Yu and Jeffrey Mark Siskind. "Grounded Language Learning from Video Described with Sentences", ACL 2013 (Best Paper Award)
- paper: http://aclweb.org/anthology/P/P13/P13-1006.pdf
9/6(金) : 木村
- "Large-Scale Spectral Clustering on Graphs," Jialu Liu, Chi Wang, Marina Danilevsky, Jiawei Han http://ijcai.org/papers13/Abstracts/222.html
- Slides
8/30(金) : 吉田
- "Search-Based Structured Prediction", Hal Daumé III, John Langford, Daniel Marcu, Machine Learning Journal, 2009
- slides: "Bayes_20130830_SEARN_yasuhisay.pptx"
8/23(金) : 竹内
- IJCAI参加報告
- slides: "ijcai.pptx"
8/2(金) : 石黒
- Kumar et al., "Collective Diffusion Over Networks: Models and Inference", in Proc. UAI, 2013.
- slides: "130802.pptx"
7/26(金) : 岩田
- UAI/AAAI参加報告
- slides: "bayes_UAI_AAAI2013.pdf"
7/19(金) : 数原
- Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng, "A Biterm Topic Model for Short Texts", WWW '13.
7/12(金) : 豊田
- Yu Peng, Raymond Chi-Wang Wong, Liangliang Ye, and Philip S. Yu: "Attribute-based subsequence matching and mining"
- Proc. IEEE 28th International Conference on Data Engineering (ICDE), 2012.
- paper
- slides: "130712_bayes_toyoda.pptx"
7/5(金) : 江崎
6/21(金) : マチュー
6/14(金) : 吉川
- Du, N., Song, L., Smola, A., and Yuan, M.: Estimating heterogeneous social influence, NIPS, 2012.
- http://www.cc.gatech.edu/~lsong/papers/DuSonSmoYua12.pdf
- Du, N., Song, L., Woo, H., and Zha, H.: Uncover Topic-Sensitive Information Diffusion Networks, AISTATS, 2013.
- http://www.cc.gatech.edu/~lsong/papers/DuSonWooZha13.pdf
- スライド: "2013-06-14-yuyay.pdf"
5/31(金): 休会
5/24(金) : 中野
- Peter Orbanz: Projective limit random probabilities on Polish spaces. Electron. J. Statist. Volume 5 (2011), 1354-1373. http://projecteuclid.org/DPubS?service=UI&version=1.0&verb=Display&handle=euclid.ejs/1319028571
- slide: "Bayes130524.pdf"
5/10(金) : 竹内
- Julian McAuley, Jure Leskovec, From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews. WWW, 2013. http://arxiv.org/abs/1303.4402
- Guillaume Bouchard, Dawei Yin, and Shengbo Guo, Convex Collective Matrix Factorization, AISTATS, 2013. http://jmlr.csail.mit.edu/proceedings/papers/v31/bouchard13a.pdf
- Nan Du, Le Song, Hyenkyun Woo, and Hongyuan Zha, Uncover Topic-Sensitive Information Diffusion Networks, AISTATS, 2013. http://jmlr.csail.mit.edu/proceedings/papers/v31/du13a.pdf
- ==Shuo Xiang, Xiaotong Shen, Jieping Ye, Efficient Sparse Group Feature Selection via Nonconvex Optimization, ICML, 2013.== http://arxiv.org/abs/1205.5075
4/26(金) : 坂野
4/19(金) : 上田
- H.C. Kim and Z. Ghahramani, "Bayesian Classifier Combination," AISTATS2012.
4/12(金) : 久保
- A. Hyvarinen, Estimation of non-normalized statistical models using score matching. Journal of Machine Learning Research, 6:695--709, 2005. http://www.cs.helsinki.fi/u/ahyvarin/papers/JMLR05.pdf
- P. Vincent, "A Connection Between Score Matching and Denoising Autoencoders", http://www.iro.umontreal.ca/~vincentp/Publications/smdae_techreport.pdf
4/5(金) : 岩田
- Jordan Boyd-Graber and David M. Blei. Multilingual Topic Models for Unaligned Text. Uncertainty in Artificial Intelligence, 2009.
3/29(金) : 藤野
- Shaobo Han, Xuejun Liao, Lawrence Carin, "Cross-Domain Multitask Learning with Latent Probit Models," in ICML-2012
3/22(金) : 進藤
- Anandkumar et al., "A Method of Moments for Mixture Models and Hidden Markov Models", in Proc. COLT, 2012 [paper|http://jmlr.csail.mit.edu/proceedings/papers/v23/anandkumar12/anandkumar12.pdf]]] [[[slides
- （少しだけ）Anandkumar et al., "A Spectral Algorithm for Latent Dirichlet Allocation", in Proc. NIPS, 2012 [paper
3/15(金) : 石黒
- Weston e al., "Latent Colloborative Retrieval", in Proc. ICML, 2012 [ paper ]
- スライド: "130315_Bayes.pdf"
1/11(金) から3/1(金)まではNIPS2012読み会期間です．
3/1(金) : Kevin
- Learning dependency structure of latent factors [ paper ]
- Efficient high-dim maximum entropy modeling via symmetric partition functions [ paper ]
- Majorization for CRFs and Latent likelihoods [ paper ]
2/8(金) : 久保，竹内
- Cocktail Party Processing via Structured Prediction (担当：久保) [ paper ]
- Image Denoising and Inpainting with Deep Neural Networks(担当：久保) [ paper ]
- Learning with Recursive Perceptual Representation [ paper ]
- 久保担当文スライド: "NIPSread.2012.kubo.pdf"
2/1(金) : 木村
- 3D Social Saliency from Head-mounted Cameras [ paper ]
- Searching for objects driven by context [ paper ]
- Slides: "bayes130201.pdf"
1/25(金) : 石黒，澤田
- Automatic Feature Induction for Stagewise Collaborative Filtering (石黒担当)
- Topic-Partitioned Multinetwork Embeddings (石黒担当)
- Factoring nonnegative matrices with linear programs (澤田担当)
- Clustering by Nonnegative Matrix Factorization Using Graph Random Walk (澤田担当)
- 資料（澤田担当） "bayes130125reading.pptx"
1/18(金) : 吉田
- Learning as MAP Inference in Discrete Graphical Models
- Multiple Choice Learning: Learning to Produce Multiple Structured Outputs
- slide "Bayesian-NIPS2012-yasuhisay.pptx"
1/11(金) : 山田（武）
- Truncation-free Stochastic Variational Inference for Bayesian Nonparametric Models
- Random function priors for exchangeable arrays with applications to graphs and relational data
- Scalable imputation of genetic data with a discrete fragmentation-coagulation process
- Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models
- Hamming Distance Metric Learning
- Multimodal learning with deep boltzman machines
- 資料：上記論文を参照しながら口頭で説明のため、資料はなし