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
12/21(金) : 澤田
- C Liu, H Yang, J Fan, LW He, YM Wang, "Distributed Nonnegative Matrix Factorization for Web-Scale Dyadic Data Analysis on MapReduce," WWW 2010
12/14(金) : 坂野
11/30(金) : 吉田
- André L. Martins and Noah A. Smith and Mário A. T. Figueiredo and Pedro M. Q. Aguiar, "Dual Decomposition with Many Overlapping Components", EMNLP 2011
11/16(金) : 山田（誠）
- Xiao Liang, Xiang Ren, Zhengdong Zhang, and Yi Ma, "Repairing Sparse Low-Rank Texture" ECCV 2012
10/26(金) : 山田（武）
- Mingyuan Zhou and Lawrence Carin, "Negative Binomial Process Count and Mixture Modeling," arXiv:1209.3442, Sept. 2012. をやります。
- Mingyuan Zhou and Lawrence Carin, "Augment-and-Conquer Negative Binomial Processes," to appear in Neural Information Processing Systems (NIPS2012), Lake Tahoe, NV, Dec. 2012. とほとんど同じ内容
- http://arxiv.org/abs/1209.3442
- http://people.ee.duke.edu/~mz1/Papers/Mingyuan_NBP_NIPS2012.pdf
- http://people.ee.duke.edu/~mz1/
- slides: "NBP 2012-10-26.pdf"
10/5(金) : 藤野
- Pinghua Gong, Jieping Ye, Changshui Zhang "Robust Multi-Task Feature Learning," KDD 2012.
- http://www.public.asu.edu/~pgong5/papers/KDD2012-rMTFL.pdf
- slides: "121005.pptx"
- 関連論文
- Multi-Task Feature Learning Via Efficient l2,1-Norm Minimization, http://www.cs.odu.edu/~sji/papers/pdf/Liu_UAI2009.pdf
9/28(金) : 石黒
- Palla, Knowles, and Ghahramani "An Infinite Latent Attribute Model for Network Data", ICML2012
8/31(金) : 上田
- B. Kulis, M. Jordan "Revisiting k-means: New algorithms via Bayesian nonparametrics"
8/24(金) : 進藤
- D. Hsu et al. A Spectral Algorithm for Learning Hidden Markov Models, COLT 2009
8/3(金) : 杉山
- Robert Lindsey, William Headden and Michael Stipicevic, "A Phrase-Discovering Topic Model Using Hierarchical Pitman-Yor Processes", EMNLP 2012
7/20(金) : 竹内
- Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems, Sanjay Purushotham, ICML2012
7/6(金) : 南
- CALO: Cognitive Assistant that Learns and Organizes
- Siri の元となった技術に関する報告
- slides: "CALO.pptx"
6/29(金) : 木村
- ICWSM2012 参加報告 http://www.icwsm.org/2012/index.php
- slides: "120606report_icwsm12.pptx"
6/1(金) : 澤田
- Convex and Semi-Nonnegative Matrix Factorizations, Ding, C.H.Q. and Li, T. and Jordan, M.I., IEEE Trans. PAMI 2010
- http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4685898&tag=1
- slides: "bayes120601.pptx"
5/18(金) : 藤野
- Qiang Fu and Arindam Banerjee. Bayesian overlapping subspace clustering, in ICDM’09
- http://www-users.cs.umn.edu/~banerjee/papers/09/bosc.pdf
- slides: "120518.pptx"
5/11(金) : 石黒
- AISTATS2012参加報告
- slides: "120511.pptx"
4/13(金) : 久保
- O. Vinyals, D. Povey, "Krylov Subspace Descent for Deep Learning," In Proc. AISTATS 2012
- http://arxiv.org/abs/1111.4259
- slides: "Krylov_Subspace_Descent.pdf"
3/16(金) : 坂野
3/9(金) : 竹内，上田
- 竹内 BayesTakeuchi20120309.pptx
- Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms
- Structured sparse coding via lateral inhibition
- 上田 ベイズ勉強会ueda120309.pptx
- Sparse Filtering
- Crowdclustering
3/2(金) : 進藤，杉山
- 杉山 NIPS2011sugiyama.pptx
- Active Ranking using Pairwise Comparisons
- Nonlinear Inverse Reinforcement Learning with Gaussian Processes
- 進藤
- Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries
- Modelling Genetic Variations using Fragmentation-Coagulation Processes
2/24(金) : 前田，木村
- 前田 BL120224.pptx
- Learning a Distance Metric from a Network
- Maximum Covariance Unfolding : Manifold Learning for Bimodal Data
- 木村 120223Bayes_nip2011readingVer3.pdf
- Testing a Bayesian measure of representativeness using a large image database
2/3(金) : 石黒，澤田
- 澤田 bayes120203reading.pptx
- Divide-and-Conquer Matrix Factorization
- ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning
1/26(木) : 木村，Kevin，岩田
- 木村 120201Bayes_nip2011readingForPub.pdf
- Fast and Accurate k-means For Large Datasets (PDF)
- 岩田 nips2011reading.pptx
- Sparse Manifold Clustering and Embedding
- Transfer Learning by Borrowing Examples for Multiclass Object Detection
- Spatial distance dependent Chinese restaurant processes for image segmentation
- Improving Topic Coherence with Regularized Topic Models
- Kevin "nips11readin-brg-kev.ppt"
- Lock-free approach to parallel SGD
- Efficient methods for overlapping group lasso
- Dynamic pooling and unfolding autoencoders for paraphrase detection
1/13(金) : 藤野
- 藤野 ("120113.pdf")