Statistical MachIne LearnING Reading Group in Bordeaux
Organizers: Marie Chavent, Robin Genuer
Location: INRIA Bordeaux, 200 avenue de la vieille tour, Talence
When: 13h00-14h00 on Tuesday
Objectives: Present and discuss recent journal papers/conference proceedings/book chapter from machine learning and statistics on statistical machine learning. Favor discussions and collaborations among researchers interested in this area.
Topics: dimension reduction, unsupervised learning, matrix completion/factorization, latent models, sparse modelling, Bayesian methods, collaborative filtering, clustering, statistical models on graphs, Monte Carlo methods, etc…
If you want to receive information about this reading group, please send an email to
Marie.Chavent@inria.fr or Robin.Genuer@isped.u-bordeaux2.fr
Schedule 2019
| Date | Room | Paper | Presenter |
|---|---|---|---|
| Mai 7, 2019 | Alan Turing 2 | Unsupervised joint deconvolution and segmentation method for textured images: a Bayesian approach and an advanced sampling algorithm, C. Vacar and J.-F. Giovannelli, 2019. | Jean-François |
| April 2, 2019 | Alan Turing 2 | Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate, M. Belkin, D. Hsu, P. Mitra ,2018. | Robin |
| March 12, 2019 | Alan Turing 2 | Martínez, D. H. D., Lee, C. H., Kim, P. T., & Mio, W., Probing the geometry of data with diffusion Fréchet functions, 2018. | Louis |
| Feb. 12, 2019 | Alan Turing 2 | Accelerating MCMC algorithms, C. Robert, V. Elvira, N. Tawn, C. Wu. 2018. | Pierre |
| January 22, 2019 | Grace Hopper | DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network, Katzman et al., BMC Medical Research Methodology, 2018. | Soufiane |
Schedule 2018
| Date | Room | Paper | Presenter |
|---|---|---|---|
| December 18, 2018 | Alan Turing 2 | Permutation P-Values Should Never Be Zero: Calculating Exact P-Values When Permutations Are Randomly Drawn. Phipson & Smyth, 2010. | Boris |
| November 27, 2018 | Alan Turing 2 | Reinforcement Learning Trees, Ruoqing Zhu, Donglin Zeng,and Michael R. Kosorok (2016). | Robin |
| March 28, 2018 | Grace Hooper | Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices, Toni Cai, Arun Zhang (2014). http://www-stat.wharton.upenn.edu/~tcai/paper/Sharp-RIP2.pdf | Hadrien |
| March 13, 2018 | Alan Turing | A generalization of principal component analysis to the exponential family. Michael Collins, Sanjoy Dasgupta and Robert E. Schapire. Advances in Neural Information Processing Systems, MIT Press, 2001. | Marta et Julien |
| Feb. 27, 2018 | Grace Hopper | Liu, F. T., Ting, K. M., and Zhou, Z.-H. 2012. Isolation-based anomaly detection. ACM Trans. Knowl. Discov. | Marie |
| Feb. 6, 2018 | Alan Turing | Gomez-Rodriguez, M., Balduzzi, E. D. & Schölkopf, B. Uncovering the Temporal Dynamics of Diffusion Networks (2011) http://www.icml-2011.org/papers/354_icmlpaper.pdf | Chariff |
| January 9, 2018 | Grace Hopper | On Markov chain Monte Carlo methods for tall data. Bardenet R, Doucet A, Holmes C. J Mach Learn Res (2017). | Boris |
Schedule 2017
| Date | Room | Paper | Presenter |
|---|---|---|---|
| May 30, 2017 | Grace Hooper (B405, 4th floor) | Variational Learning of Inducing Variables in Sparse Gaussian Processes , proceedings AISTATS 2009, https://pdfs.semanticscholar.org/9c13/b87b5efb4bb011acc89d90b15f637fa48593.pdf | Audrey |
| May 2, 2017 | Grace Hooper (B405, 4th floor) | The role of empirical Bayes methodology as a leading principle in modern medical statistics Hans C. van Houwelingen (2014) , https://www.ncbi.nlm.nih.gov/pubmed/25205521 | Boris |
| April 4, 2017 | Grace Hooper (B405, 4th floor) | Scalable Simple Random Sampling and Stratified Sampling Xiangrui Meng (2013) http://www.jmlr.org/proceedings/papers/v28/meng13a.pdf | Robin |
| March 21, 2017 | Grace Hooper (B405, 4th floor) | Metropolis-Hastings algorithms with autoregressive proposals, and a few examples Richard A. Norton, Colin Fox (2016). https://arxiv.org/abs/1605.05441 | Jean-François |
| February 14, 2017 | Grace Hopper (B405, 4th floor) | Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget. Chen, Yutian, et al.. http://www.ics.uci.edu/~welling/publications/papers/austerity_ICML14_complete.pdf | Pierre |
| January 17, 2017 | Grace Hopper (B405, 4th floor) | Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares. Trevor Hastie, Rahul Mazumder, Jason D. Lee, Reza Zadeh (2014). https://arxiv.org/pdf/1410.2596.pdf | Hadrien |
| January 3, 2017 | Grace Hopper (B405, 4th floor) | Apprentissage sur Données Massives; trois cas d'usage avec R, Python et Spark. Philippe Besse, Brendan Guillouet, Jean-Michel Loubes (2016). https://hal.archives-ouvertes.fr/hal-01350099 | Marie |
Schedule 2015/2016
| Date | Room | Paper | Presenter |
|---|---|---|---|
| June 7, 2016 | Alan Turing 2 | "Mondrian Forests: Efficient Online Random Forests", Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh, 2014 | Robin |
| May 10, 2016 | Alan Turing 2 | "Optimizing random scan Gibbs samplers" de R. A. Levine et G. Casella. | Audrey |
| March 29, 2016 | Alan Turing 2 | Mastering the game of Go with deep neural networks and tree search. David Silver et.al, Nature 2016 | Pierre |
| March 15, 2016 | Grace Hopper 2 | Hierarchical Dirichlet Processes, Yee Whye Teh, Michael I. Jordan, Matthew J. Beal and David M. Blei (2006) | Chariff |
| March 1, 2016 | Grace Hopper 2 | The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies. Blei, D. M., Griffiths, T. L., & Jordan, M. I. (2010). Journal of the ACM (JACM), 57(2), 7. | Jessica |
| Januray 26, 2016 | Grace Hopper (B405, 4th floor) | Overlapping stochastic block models with application to the french political blogosphere. Latouche, P., Birmelé, E., & Ambroise, C. (2011). The Annals of Applied Statistics, 309-336. | Adrien |
| Januray 12, 2016 | Grace Hopper (B405, 4th floor) | Regularized Generalized Canonical Correlation Analysis. Arthur Tenenhaus, Michel Tenenhaus. Psychometrika (2011) | Hadrien |
| December 8, 2015 | Grace Hopper (B405, 4th floor) | Generalized Additive Model Selection, Alexandra Chouldechova and Trevor Hastie | Marta |
| November 24, 2015 | Grace Hopper (B405, 4th floor) | Accelerated Gibbs sampling of normal distributions using matrix splittings and polynomials, Colin Fox and Albert Parker | Andrei |
| November 3, 2015 | Grace Hopper (B405, 4th floor) | MCMC using Hamiltonian dynamics, Radford M. Neal. http://arxiv.org/pdf/1206.1901.pdf | Jean-François |
Schedule 2014/2015
| Date | Room | Paper | Presenter |
|---|---|---|---|
| November 18, 2014 | Grace Hopper (B405, 4th floor) | M. Journée, Y. Nesterov, P. Richtarik,, R. Sepulchre. Generalized Power Method for Sparse Principal Component Analysis, Journal of Machine Learning Research, 2010. pdf | Marie |
| December 2, 2014 | Alan Turing (B305, 3d floor) | Nyamundanda, G., Gormley, I. C., Brennan, L. A dynamic probabilistic principal components model for the analysis of longitudinal metabolomics data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 2014. pdf | Boris |
| December 16, 2014 | Grace Hopper (B405, 4th floor) | Confidence intervals for low dimensional parameters in high dimensional linear models. J. R. Statist. Soc. B, 2014, pdf | Marta |
| January 13, 2015 | Grace Hopper 2 (4th floor) | Madigan, J. A., Hoeting, D., Raftery, C. T., & Volinsky, C. T., Bayesian model averaging: A tutorial. Statistical Science, 44(4), 1999, pdf | Pierre |
| January 27, 2015 | Grace Hopper 2 (4th floor) | Arribas-Gil A., Bertin C., Meza C., Rivoirard V., LASSO-type estimators for semiparametric nonlinear mixed-effects models estimation, Statistics and Computing, 24:3, 2014 pdf | Perrine |
| February 10, 2015 | A304 (3d floor) | Xiong, Liang, et al. "Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization." SDM. Vol. 10. 2010. pdf | Adrien |
| Mach 10, 2015 | Grace Hooper (4th floor) | S. Chib et I. Jeliazkov, Marginal Likelihood From the Metropolis–Hastings Output, JASA 2001. pdf | Andrei |
| Mach 24, 2015 | Grace Hooper (4th floor) | Second-Order Latent-Space Variational Bayes for Approximate Bayesian Inference, IEEE signal processing letters Vol. 15, 2008. pdf | Jessica |
| June 16, 2015 | Grace Hooper (4th floor) | On statistics, computation and scalability, M. Jordan (2013), The Big Data Bootstrap, Kleiner, Talwalkar, Sarkar, Jordan (2012) | Robin |
Schedule 2013/2014
| Date | Room | Paper | Presenter |
|---|---|---|---|
| January 22, 2013 | Grace Hopper (B404, 4th floor) | R. Mazumber, T. Hastie, R. Tibshirani. Spectral Regularization Algorithms for Learning Large Incomplete Matrices. Journal of Machine Learning Research, vol. 11, pp. 2287-2322, 2010. pdf See also the talk at the conference compstat. pdf | François |
| February 5, 2013 | Grace Hopper (B404, 4th floor) | T. Hesterberg, N.H. Choi, L. Meier, C. Fraley. Least angle and l1 penalized regression: a review. Statistics Survey, 2008. pdf | Marie |
| February 19, 2013 | Grace Hopper (B404, 4th floor) | C.J.C. Burges. Dimension reduction: a guided tour. Foundations and trends in machine learning, 2010. pdf Chapters 1-3 | Pierre |
| March 5, 2013 | Grace Hopper (B404, 4th floor) | H. Lee, R. Grosse, R. Ranganath, A. Ng. Convolutional Deep Belief Networks for scalable unsupervised learning of hierarchical representations. International Conference on Machine Learning, 2009. pdf | Olivier |
| April 2, 2013 | Grace Hopper (B404, 4th floor) | U. Von Luxburg. A tutorial on spectral clustering. Statistics and Computing, 2007. pdf | Robin |
| May 21, 2013 | Grace Hopper (B404, 4th floor) | J. Moller, AN Pettitt, R. Reeves, KK Berthelsen. An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants. Biometrika, 2006. pdf I. Murray, Z. Ghahramani, D. MacKay. MCMC for doubly-intractable distributions. UAI, 2006. pdf | Jean-François |
| June 4, 2013 | Grace Hopper (B404, 4th floor) | M. Wainwright, M.I. Jordan. Graphical Models, Exponential families and variational inference. Foundations and trends in machine learning, 2008. Chapter 3. pdf | François |
| June 18, 2013 | Grace Hopper (B404, 4th floor) | M. Wainwright, M.I. Jordan. Graphical Models, Exponential families and variational inference. Foundations and trends in machine learning, 2008. Chapters 5-6. pdf | François |
| October 15, 2013 | Grace Hopper (B404, 4th floor) | A., Bellavance, F., & Larocque, D. (2012). Mixed-effects random forest for clustered data. Journal of Statistical Computation and Simulation, 1-16. pdf | Boris |
| November 5, 2013 | Alan Turing (B304, third floor) | T. Griffiths & Z. Ghahramani. The Indian Buffet process: an introduction and review. Journal of Machine Learning Research, 2011. pdf | Adrien |
| December 3, 2013 | Grace Hooper 1 (B404, 4th floor) | T. Griffiths & Z. Ghahramani. The Indian Buffet process: an introduction and review. Journal of Machine Learning Research, 2011. pdf | Adrien |
| December 17, 2013 | Grace Hooper 1 (B404, 4th floor) | S. Roberts & G.Nowak. Stabilizing the lasso against cross-validation variability. Comput. Stat. Data Anal. , 2013. pdf | Frédéric |
| Mars 4, 2014 | Grace Hooper (B404, 4th floor) | O. Cappé. Online EM Algorithm for Hidden Markov Models, J. Comput. Graph. Statistics, 2011. pdf | Pierre |
| May 20, 2014 | Grace Hooper 1 (4th floor) | Cappé, O. and Moulines, E., On-line expectation-maximization algorithm for latent data models, J. Roy. Statist. Soc. B, 2009. pdf | Audrey |
| May 27, 2014 | Grace Hooper 1 (4th floor) | D.P. Helmbold, P.M. Long. On the Necessity of Irrelevant Variables. Journal of Machine Learning Research 2012. pdf | Robin |
| Juin 24, 2014 | Allan Turing 1, (3rd floor) | Blei, D. M., Ng, A. Y., & Jordan, M. I. Latent Dirichlet Allocation. The Journal of machine Learning research. 2003. | Olivier |