====== Paper Pool ====== There are some papers collected **[[PaperPool|HERE]]**. You may want to select paper from them. ===== 2009 Fall ===== * 9/25 (Fri.) **Scan** presetns Chunking with Support Vector Machines. * 10/2 (Fri.) **Kai-Min** presents Trust region Newton method for large-scale logistic regression * 10/9 (Fri.) **Chen-Tse** presents his work * 10/16 (Fri.) **GuoXun** present his work. * 10/23 (Fri.) **GuoXun** present his work. * 10/30 (Fri.) **OMG** present ???. * 11/6 (Fri.) **PoPo** present Fast Logistic Regression for Text Categorization with Variable-Length N-grams. * 11/13 (Fri.) **Kai-Min** present An Affine-Scaling Interior-Point Method For Continuous Knapsack Constraints. ===== 2009 Spring ===== We will have meeting on Friday afternoon at 524/526, starting from 3:20pm. * 5/1 (Fri.) **Scan** presents the rest of SMO linear convergence. * 5/8 (Fri.) **Kai-Min** presents Sparse Online Learning via Truncated Gradient. * 5/14 (Thu.) **Janet** presetns her work "Maximum Entropy". * 5/21 (Thu.) **Ho Chia-Hua** presents A Dual Coordinate Descent Method for Large-scale Linear SVM * 6/5 (Fri.) **Kai-Min** presents Yin-Wen's thesis. * 5/29 (Thu.) **Janet** presents pipibjc's thesis. * 6/4 (Thu.) **Kai-Min** presents Yin-Wen's thesis. * 6/5 (Fri.) **Chen-Tse,博瀚** presents eaudex's thesis. * 6/12 (Fri.) **Kai-Min** presetns the rest of Sparse Online Learning via Truncated Gradient. * 6/19 (Fri.) **Tian-Liang** presetns Learning to Classify with Missing and Corrupted Features . * 6/26 (Fri.) **pipibjc** presetns LYin-Wen's thesis. * 7/2 (Thu.) **Tian-Liang** presetns the rest of Learning to Classify with Missing and Corrupted Features . * 7/9 (Thu.) **Dino** presents his research * 7/10 (Fri.) **Chia Hua** presents An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression * 7/16 (Thu.) **Scan** presetns Stochastic Methods for L1 Regularized Loss Minimization. * 7/17 (Fri.) **Chia Hua** presents An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression * 7/23 (Thu.) **2nd-year master students** presents their work * 7/24 (Fri.) **Others** present their work * 7/30 (Thu.) **Chen-Tse 博瀚** presents svvd * 8/6 (Thu.) **Kai-Min** presents A Note on Decomposition Methods for Support Vector Regression * 8/7 (Fri.) **Typhoon 莫拉克** * 8/13 (Thu.) **Chia Hua** presents arge Linear Classification when Data Cannot Fit in Memory * 8/14 (Fri.) **Tian-Liang** presents Learning Linear Dynamical Systems without Sequence Information * 8/21 (Fri.) **Chen-Tse** presents Tree Decomposition for Large-Scale Support Vector Machines * 8/27 (Thu.) **Scan** presents Hash Kernels for Structured Data * 8/28 (Fri.) **Po-Han** presents Feature Hashing for Large Scale Multitask Learning * 9/3 (Thu.) **Kai-Min** presents Trust region Newton method for large-scale logistic regression * 9/4 (Fri.) **Tian-Liang** presents * 9/10 (Thu.) **Chen-Tse** presents Dual Augmented Lagrangian Method for Efficent Sparse Reconstruction * 9/11 (Fri.) **Po-Han** presents Fast Solution of L1-morm Minimization Problems When the Solution May be Sparse * ?? (??) **??** Bundle Methods for Regularized Risk Minimization. ===== 2007 Fall ===== We will have meeting on Monday afternoon at 524/526, starting from 3:00pm. * 11/05(Mon.) **Yin-Wen** presents about structure svm. * 10/29(Mon.) **Yin-Wen** presents about structure svm. * 10/22(Mon.) No meeting today because of a speech. * 10/15(Mon.) **pipibjc** presents about structure svm on LETOR. * 10/08(Mon.) **biconnect, rainfarmer** present about their research. ===== 2007 Summer ===== We will have meeting on Friday morning at 524/526, starting from 10:00 am. * 9/14(Fri.): **GuoXun** present about pegasos. * 9/07(Fri.): **GuoXun** present "A Study on Threshold Selection for Multilable Classification". * 8/31(Fri.): everyone talk about their current research work. * 8/24(Fri.): **biconnect** present about gaussian process regression. * 8/24(Fri.): **Bee** present Chapter 3. * 8/17(Fri.): canceled because of typhoon. * 8/10(Fri.): **Ma** present about Image thumbnailing. * 8/03(Fri.): **Bee** present Chapter 3. * 8/03(Fri.): **Rofu** present paper. * 7/27(Fri.): **GuoXun** present the rest part of Chapter 2. * 7/27(Fri.): **pipibjc** present about LETOR. * 7/20(Fri.): **GuoXun** present Chapter 2 of Numerical Optimization, from page 11 to page 22. * 7/20(Fri.): **greenoyster** present about his research. * 7/13(Fri.): **Ma** presents netflix challenge. ===== 2007 Spring ===== We will have meeting on Friday morning at 524, starting from 9:30. * 6/8(Fri.): **biconnect/rainfermer** present hotterornotter * 6/1(Fri.): **rafan** present his Master thesis * 5/18(Fri.): **GuoXun** present sub-GrAdient SOlver for SVM * 5/18(Fri.): **acherub** present comments on CVM * 5/11(Fri.): **acherub** present CVM * 5/4(Fri.): **zao** present Trust Region Newton Method for Large-Scale Regularized Logistic Regression * 4/20(Fri.): **oyster** present Trust Region Newton Method for Large-Scale Regularized Logistic Regression * 3/30(Fri.): **pipibjc** presents the python interface of libsvm * 3/23(Fri.): **Ma** presents Statistical Edge Detection: Learning and Evaluating Edge Cues * 3/16(Fri.): **Ma** presents Statistical Edge Detection: Learning and Evaluating Edge Cues * 3/16(Fri.): **GuoXun** presents libsvm string code * 3/09(Fri.): **oyster** presents [[http://jmlr.csail.mit.edu/papers/volume7/glasmachers06a/glasmachers06a.pdf| Maximum-Gain Working Set Selection for SVMs]] * 3/02(Fri.): **oyster** presents [[http://jmlr.csail.mit.edu/papers/volume7/glasmachers06a/glasmachers06a.pdf| Maximum-Gain Working Set Selection for SVMs]] ===== 2007 Winter ===== We will have meeting on Tuesday and Friday starting from 13:00. * 2/13(Tue.): **zao** presents Newton method * 2/09(Fri.): **zao** presents Newton method * 2/09(Fri.): **pipibjc** presents TrecVID tsinghua2004 * 2/06(Tue.): **Ma** presents [[http://books.nips.cc/papers/files/nips19/NIPS2006_0179.pdf| Balanced Graph Matching]] * 2/02(Fri.): **biconnect** and **rainfarmer** present their work * 1/30(Tue.): **zao** presents [[http://www.ece.northwestern.edu/~nocedal/PDFfiles/limited-memory.pdf| On The Limited Memory BFGS Method For Large Scale Optimization]] * 1/26(Fri.): **rafan** presents Fast Transpose methods for kernel learning on sparse data ===== 2006 Fall ===== We will have meeting on Friday afternoon at 524 this semester, starting from 12:30 PM. * 01/05(Fri.): **oyster** presents about solving quadratic problems * 12/29(Fri.): **zao** presents [[http://www.ece.northwestern.edu/~nocedal/PDFfiles/limited-memory.pdf| On The Limited Memory BFGS Method For Large Scale Optimization]] * 12/22(Fri.): **zao** presents about training logistic regression * 12/15(Fri.): **oyster** presents about solving quadratic problems * 12/08(Fri.): **oyster** presents [[http://www.hpl.hp.com/conferences/icml2003/papers/352.pdf| SimpleSVM]] * 12/01(Fri.): **oyster** presents [[http://www.hpl.hp.com/conferences/icml2003/papers/352.pdf| SimpleSVM]] * 12/01(Fri.): **rafan** presents about multi-label * 11/24(Fri.): **rafan** presents about multi-label * 11/24(Fri.): **eaglet** presents about Support Vector Machines Solvers * 11/17(Fri.): **eaglet** presents about Support Vector Machines Solvers * 11/10(Fri.): **eaglet** presents about Support Vector Machines Solvers * 11/03(Fri.): **Ma** presents chapter 3 of [[http://scholar.google.com.tw/url?sa=U&q=http://vismod.media.mit.edu/pub/tech-reports/TR-533.pdf| A Family of Algorithms for Approximate Bayesian Inference]] * 10/27(Fri.): **rafan** presents [[http://staff.science.uva.nl/~cgmsnoek/pub/snoek-challenge-acm2006.pdf| The challenge problem for automated detection of 101 semantic concepts in multimedia.]] * 10/20(Fri.): **zao** presents [[http://www.icml2006.org/icml_documents/camera-ready/110_Bayesian_Pattern_Ran.pdf| Bayesian Pattern Ranking for Move Prediction in the Game of Go]] * 10/13(Fri.): **rainfarmer** presents [[http://arxiv.org/abs/math.OC/0412070| Nonnegative Matrix Factorization and I-Divergence Alternating Minimization]] * 10/6(Fri.): **No Meeting for Moon Festival** * 9/29(Fri.): **rainfarmer** presents [[http://arxiv.org/abs/math.OC/0412070| Nonnegative Matrix Factorization and I-Divergence Alternating Minimization]] ===== 2006 Summer ===== We will have meeting on Friday morning at 524 this summer, starting from 9:30 AM. * 9/22(Fri.): **biconnect** presents about working set * 9/15(Fri.): **biconnect** presents about working set * 9/08(Fri.): **Ma** presents the [[http://www.csie.ntu.edu.tw/~b91082/EM/EM_linearmix.pdf| EM tutorial]] * 9/01(Fri.): **janet** presents [[ftp://ftp.research.microsoft.com/pub/tr/TR-2006-80.pdf TrueSkill: A Bayesian Skill Rating System]] * 8/25(Fri.): **biconnect** presents about P-SVM * 8/18(Fri.): **rafan** presents [[http://www.icml2006.org/icml_documents/camera-ready/139_Statistical_Debuggin.pdf| Statistical Debugging: Simultaneous Identification of Multiple Bugs ]] * 8/11(Fri.): **oyster** presents [[http://nyc.lti.cs.cmu.edu/yiming/Publications/sigir01.ps.gz| A study on thresholding strategies for text categorization]] * 8/04(Fri.): **biconnect** presents [[http://nyc.lti.cs.cmu.edu/yiming/Publications/sigir00.ps.gz| Improving text categorization methods for event tracking]] * 7/28(Fri.): **rainfarmer** presents [[http://www.cs.cmu.edu/~har/visapp2006.pdf| Large Scale Image-Based Adult-Content Filtering]] * 7/21(Fri.): **zao** presents [[http://www.cs.umass.edu/~mccallum/papers/crf-tutorial.pdf| An Introduction to Conditional Random Fields for Relational Learning ]] * 7/19(Wed.): **Ma** presents [[http://nyc.lti.cs.cmu.edu/yiming/Publications/irj99.ps.gz| An evaluation of statistical approaches to text categorization]] * 7/14(Fri.): **zao** presents [[http://www.cs.umass.edu/~mccallum/papers/crf-tutorial.pdf| An Introduction to Conditional Random Fields for Relational Learning ]] * 7/07(Fri.): **Benyah** presents his research work * 7/05(Wed.): **zao** presents [[http://www.cs.umass.edu/~mccallum/papers/crf-tutorial.pdf| An Introduction to Conditional Random Fields for Relational Learning(pp7~) ]] ===== 2006 Spring ===== We will have meeting on Friday morning at 524 this semester. * 6/30(Fri.): **zao** presents [[http://www.cs.umass.edu/~mccallum/papers/crf-tutorial.pdf| An Introduction to Conditional Random Fields for Relational Learning ]] * 6/23(Fri.): **No meeting today** * 6/16(Fri.): **oyster** presents [[http://www.jmlr.org/papers/volume5/lewis04a/lewis04a.pdf| RCV1: A New Benchmark Collection for Text Categorization Research ]] * 6/09(Fri.): **No meeting today** * 6/02(Fri.): **zao** presents about acoustic interface * 5/26(Fri.): **pipibjc** presents about image retrieval * 5/26(Fri.): **eaglet** presents about video search * 5/26(Fri.): **rainfarmer** presents about semi-supervised learning * 5/26(Fri.): **Ma** presents about watermark * 5/19(Fri.): **Ma** presents about watermark * 5/19(Fri.): **pipibjc** presents about hierarchical classifier * 5/19(Fri.): **eaglet** presents about imabalanced data * 5/12(Fri.): **eaglet** presents about imabalanced data * 5/12(Fri.): **biconnect** presents about document vector * 5/05(Fri.): **Ma** presents about face * 5/05(Fri.): **rainfarmer** presents about music * 5/05(Fri.): **pipibjc** presents [[http://www.mcs.anl.gov/BLMVM/blmvm.ps| A Limited Memory Variable Metric Method in Subspaces and Bound Constrained Optimization Problems]] * 4/28(Fri.): **pipibjc** presents [[http://www.mcs.anl.gov/BLMVM/blmvm.ps| A Limited Memory Variable Metric Method in Subspaces and Bound Constrained Optimization Problems]] * 4/21(Fri.): **No meeting today** * 4/14(Fri.): **eaglet** presents about computer chess * 4/07(Fri.): **Ma** presents about EM * 3/31(Fri.): **somi** presents about the project with video search * 3/24(Fri.): **bionnect** presents about Gaussian Process * 3/24(Fri.): **rainfarmer** presents the connection between two papers * 3/17(Fri.): **rainfarmer** presents * 3/10(Fri.): **biconnect** presents [[http://books.nips.cc/papers/files/nips18/NIPS2005_0446.pdf| A Matching Pursuit Approach to Sparse Gaussian Process Regression]] * 3/03(Fri.): **Tzu-Kuo** presents a chapter in "The method of paired comparisons" ===== 2006 Winter ===== We will have meeting at 524 on Monday and Friday afternoon during the vacation. * 2/18(Fri.): **Tzu-Kuo** presents * 2/13(Mon.): **puffer** presents * 2/10(Fri.): **puffer** presents * 2/06(Mon.): **Tzu-Kuo** presents ===== 2005 Fall ===== We will have meetings at 524 on Tuesday morning/Friday afternoon this semester. * 1/27(Fri.): **puffer** presents [[http://www.cs.cornell.edu/People/tj/publications/joachims_02c.pdf|Optimizing Search Engines Using Clickthrough Data]] * 1/27(Fri.): **rainfarmer** presents about regularization * 1/06(Fri.): **Somi** presents [[http://people.csail.mit.edu/kgrauman/grauman_darrell_iccv05.pdf| The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features]] * 1/06(Fri.): **eaglet** presents about SVR * 1/03(Tue.): **eaglet** presents about SVR * 12/30(Fri.): **eaglet** presents about SVR * 12/30(Fri.): **pipibjc** presents * 12/27(Tue.): **rafan** presents about making SVM faster * 12/23(Fri.): **rainfarmer** presents about NMF * 12/23(Fri.): **rafan** presents about making SVM faster * 12/20(Tue.): **rainfarmer** presents about NMF * 12/16(Fri.): **rainfarmer** presents about NMF * 12/13(Tue.): **rainfarmer** presentsabout NMF * 12/09(Fri.): **Bjchen** presents [[http://www.genome.org/cgi/reprint/13/7/1706| Subsystem Identification Through Dimensionality Reduction of Large-Scale Gene Expression Data]], [[http://bioinformatics.oxfordjournals.org/cgi/reprint/19/suppl_1/i130| Sensitive pattern discovery with 'fuzzy' alignments of distantly related proteins]] * 12/02(Fri.): **Bjchen** presents