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Francis Rene Bach - Publications

Affiliations: 
École normale supérieure Paris, Paris, Île-de-France, France 
Area:
machine learning
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47 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Dieuleveut A, Durmus A, Bach F. Bridging the gap between constant step size stochastic gradient descent and Markov chains Annals of Statistics. 48: 1348-1382. DOI: 10.1214/19-Aos1850  0.302
2020 Gower RM, Richtárik P, Bach F. Stochastic quasi-gradient methods: variance reduction via Jacobian sketching Mathematical Programming. 1-58. DOI: 10.1007/S10107-020-01506-0  0.33
2019 Rencker L, Bach F, Wang W, Plumbley MD. Sparse Recovery and Dictionary Learning From Nonlinear Compressive Measurements Ieee Transactions On Signal Processing. 67: 5659-5670. DOI: 10.1109/Tsp.2019.2941070  0.374
2019 Bach FR. Submodular Functions: from Discrete to Continous Domains Mathematical Programming. 175: 419-459. DOI: 10.1007/S10107-018-1248-6  0.325
2018 Babichev D, Bach F. Slice inverse regression with score functions Electronic Journal of Statistics. 12: 1507-1543. DOI: 10.1214/18-Ejs1428  0.384
2018 Scieur D, d’Aspremont A, Bach F. Regularized nonlinear acceleration Mathematical Programming. 179: 47-83. DOI: 10.1007/S10107-018-1319-8  0.323
2016 Dieuleveut A, Bach F. Nonparametric stochastic approximation with large step-sizes Annals of Statistics. 44: 1363-1399. DOI: 10.1214/15-Aos1391  0.369
2016 Bach F, Poggio T. IntroductionSpecial issue: Deep learning Information and Inference. 5: 103-104. DOI: 10.1093/Imaiai/Iaw010  0.351
2015 Fogel F, Jenatton R, Bach F, D'aspremont A. Convex relaxations for permutation problems Siam Journal On Matrix Analysis and Applications. 36: 1465-1488. DOI: 10.1137/130947362  0.312
2015 Bach F. Duality between subgradient and conditional gradient methods Siam Journal On Optimization. 25: 115-129. DOI: 10.1137/130941961  0.39
2015 Shervashidze N, Bach F. Learning the Structure for Structured Sparsity Ieee Transactions On Signal Processing. 63: 4894-4902. DOI: 10.1109/Tsp.2015.2446432  0.395
2015 Gribonval R, Jenatton R, Bach F. Sparse and Spurious: Dictionary Learning With Noise and Outliers Ieee Transactions On Information Theory. 61: 6298-6319. DOI: 10.1109/Tit.2015.2472522  0.357
2015 Gribonval R, Jenatton R, Bach F, Kleinsteuber M, Seibert M. Sample complexity of dictionary learning and other matrix factorizations Ieee Transactions On Information Theory. 61: 3469-3486. DOI: 10.1109/Tit.2015.2424238  0.331
2015 Mairal J, Elad M, Bach F. Guest Editorial: Sparse Coding International Journal of Computer Vision. 114: 89-90. DOI: 10.1007/S11263-015-0845-6  0.361
2015 Lacoste-Julien S, Lindsten F, Bach F. Sequential kernel herding: Frank-Wolfe optimization for particle filtering Journal of Machine Learning Research. 38: 544-552.  0.672
2014 Defazio A, Bach F, Lacoste-Julien S. SAGA: A fast incremental gradient method with support for non-strongly convex composite objectives Advances in Neural Information Processing Systems. 2: 1646-1654.  0.683
2013 Hocking TD, Schleiermacher G, Janoueix-Lerosey I, Boeva V, Cappo J, Delattre O, Bach F, Vert JP. Learning smoothing models of copy number profiles using breakpoint annotations Bmc Bioinformatics. 14. PMID 23697330 DOI: 10.1186/1471-2105-14-164  0.312
2013 Mishra B, Meyer G, Bach F, Sepulchre R. Low-rank optimization with trace norm penalty Siam Journal On Optimization. 23: 2124-2149. DOI: 10.1137/110859646  0.357
2012 Mairal J, Bach F, Ponce J. Task-driven dictionary learning Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 791-804. PMID 21808090 DOI: 10.1109/Tpami.2011.156  0.395
2012 Bach F, Jenatton R, Mairal J, Obozinski G. Structured sparsity through convex optimization Statistical Science. 27: 450-468. DOI: 10.1214/12-Sts394  0.737
2012 Jenatton R, Gramfort A, Michel V, Obozinski G, Eger E, Bach F, Thirion B. Multiscale mining of fMRI data with hierarchical structured sparsity Siam Journal On Imaging Sciences. 5: 835-856. DOI: 10.1137/110832380  0.715
2012 Bach F, Lacoste-Julien S, Obozinski G. On the equivalence between herding and conditional gradient algorithms Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1359-1366.  0.686
2011 Duchenne O, Bach F, Kweon IS, Ponce J. A Tensor-Based Algorithm for High-Order Graph Matching. Ieee Transactions On Pattern Analysis and Machine Intelligence. 33: 2383-95. PMID 21646677 DOI: 10.1109/Tpami.2011.110  0.353
2011 Mairal J, Jenatton R, Obozinski G, Bach F. Learning hierarchical and topographic dictionaries with structured sparsity Proceedings of Spie - the International Society For Optical Engineering. 8138. DOI: 10.1117/12.893811  0.413
2010 Cord A, Bach F, Jeulin D. Texture classification by statistical learning from morphological image processing: application to metallic surfaces. Journal of Microscopy. 239: 159-66. PMID 20629921 DOI: 10.1111/J.1365-2818.2010.03365.X  0.324
2010 Journée M, Bach F, Absil PA, Sepulchre R. Low-rank optimization on the cone of positive semidefinite matrices Siam Journal On Optimization. 20: 2327-2351. DOI: 10.1137/080731359  0.343
2010 Hoffman MD, Blei DM, Bach F. Online learning for Latent Dirichlet Allocation Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010.  0.573
2009 Fukumizu K, Bach FR, Jordan MI. Kernel dimension reduction in regression Annals of Statistics. 37: 1871-1905. DOI: 10.1214/08-Aos637  0.481
2009 Bach FR, Jordan MI. Spectral Clustering for Speech Separation Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods. 221-250. DOI: 10.1002/9780470742044.ch13  0.374
2009 Liang P, Bach F, Bouchard G, Jordan MI. Asymptotically optimal regularization in smooth parametric models Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1132-1140.  0.417
2007 Yamanishi Y, Bach F, Vert JP. Glycan classification with tree kernels. Bioinformatics (Oxford, England). 23: 1211-6. PMID 17344232 DOI: 10.1093/Bioinformatics/Btm090  0.317
2007 Louradour J, Daoudi K, Bach F. Feature Space Mahalanobis Sequence Kernels: Application to SVM Speaker Verification Ieee Transactions On Audio, Speech and Language Processing. 15: 2465-2475. DOI: 10.1109/Tasl.2007.905147  0.328
2006 Bach FR, Jordan MI. Learning spectral clustering, with application to speech separation Journal of Machine Learning Research. 7: 1963-2001.  0.46
2006 Bach FR, Jordan MI. Learning spectral clustering, with application to speech separation Journal of Machine Learning Research. 7: 1963-2001.  0.46
2005 Bach FR, Jordan MI. Discriminative training of hidden Markov models for multiple pitch tracking Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. V489-V492. DOI: 10.1109/ICASSP.2005.1416347  0.37
2005 Bach FR, Jordan MI. Predictive low-rank decomposition for kernel methods Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 33-40.  0.405
2005 Bach FR, Jordan MI. Blind one-microphone speech separation: A spectral learning approach Advances in Neural Information Processing Systems.  0.465
2005 Bach FR, Thibaux R, Jordan MI. Computing regularization paths for learning multiple kernels Advances in Neural Information Processing Systems.  0.478
2004 Bach FR, Jordan MI. Beyond independent components: Trees and clusters Journal of Machine Learning Research. 4: 1205-1233. DOI: 10.1162/Jmlr.2003.4.7-8.1205  0.487
2004 Bach FR, Jordan MI. Learning graphical models for stationary time series Ieee Transactions On Signal Processing. 52: 2189-2199. DOI: 10.1109/Tsp.2004.831032  0.508
2004 Fukumizu K, Bach FR, Jordan MI. Kernel dimensionality reduction for supervised learning Advances in Neural Information Processing Systems.  0.483
2004 Bach FR, Lanckriet GRG, Jordan MI. Multiple kernel learning, conic duality, and the SMO algorithm Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 41-48.  0.508
2004 Fukumizu K, Bach FR, Jordan MI. Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces Journal of Machine Learning Research. 5: 73-99.  0.468
2003 Bach FR, Jordan MI. Kernel independent component analysis Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4: 876-879. DOI: 10.1162/153244303768966085  0.396
2003 Bach FR, Jordan MI. Kernel independent component analysis Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4: 876-879. DOI: 10.1162/153244303768966085  0.527
2003 Bach FR, Jordan MI. Learning graphical models with mercer kernels Advances in Neural Information Processing Systems.  0.483
2002 Bach FR, Jordan MI. Thin junction trees Advances in Neural Information Processing Systems.  0.344
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