Publications

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(Please don't forget to mention Persyval in the acknowledgements of papers published within Khronos - the LabEx PERSYVAL- Lab ANR-11-LABX-0025)

  1. Babbar R., Partalas I., Gaussier E., Amini M.-R., Amblard C. Learning Taxonomy Adaptation in Large-scale Classification, Journal of Machine Learning Research , 17(98):1--37, 2016
  2. Cox B., Juditsky A., Nemirovskii A. Decomposition Techniques for Bilinear Saddle Point Problems and Variational Inequalities with Affine Monotone Operators, Journal of Optimization Theory and Applications, Springer Verlag, 2016
  3. Juditsky A., Nemirovski A. On sequential hypotheses testing via convex optimization, Automation and Remote Control / Avtomatika i Telemekhanika, MAIK Nauka/Interperiodica, Vol. 76, N. 5, pp. 809-825, 2015
  4. Juditsky A., Nemirovski A. On detecting harmonic oscillations, Bernoulli Society for Mathematical Statistics and Probability, Vol. 32, N. 2, pp.1134-1165, 2015
  5. Juditsky A., Nemirovski A., Goldenshluger A. Hypothesis testing by convex optimization, Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, Vol. 2, N. 9, pp.1645-1712, 2015
  6. Juditsky A. Optimization problems and Variational Inequalities on domains given by Linear Minimization Oracle, PGMO DAYS 2015, Oct 2015, Paris, France.
  7. Juditsky A. Adaptive Estimation by Convex Optimization, Optimization and Applications in Control and Data Science, 2015, Moscou, Russia.
  8. Juditsky A. Simple methods for large-scale learning problems via Fenchel-type representations, MASTODONS Display-Gargantua Stochastic and Distributed Optimization, Jul 2014, Nice, France. 2014.
  9. Joshi B., Amini M.-R., Partalas I., Ralaivola L., Usunier N., Gaussier E. "Multi-class to Binary reduction of Large-scale classification Problems". International ECML/PKDD Workshop on Big Multi-Target Prediction, 2015
  10. Harchaoui Z., Juditsky A., Nemirovski A., Ostrovsky D. Adaptive Recovery of Signals by Convex Optimization. Conference On Learning Theory (COLT), 2015
  11. Joshi B., Amini M.-R., Partalas I., Ralaivola L., Usunier N., Gaussier E. "On Binary Reduction of Large-scale Multiclass Classification Problems". Fourteenth International Symposium on Intelligent Data Analysis (IDA), 2015
  12. Ralaivola L., Amini M.-R. "Entropy-Based Concentration Inequalities for Dependent Variables". International Conference on Machine Learning (ICML), 2015
  13. Fakeri-Tabrizi A., Amini M.-R., Cyril G., Usunier N. "Multiview self-learning". Neurocomputing, Elsevier, 2015, 155, pp.117-127
  14. Kuznetsov M. Clausel M., Amini M.-R., Gaussier E., Strijov V. "Supervised topic classification for modeling a hierarchical conference structure". 22nd International Conference on Neural Information Processing (ICONIP), 2015
  15. Balikas G., Partalas I., Gaussier E., Babbar R., Amini M.-R. "Efficient Model Selection for Regularized Classification by Exploiting Unlabeled Data". Fourteenth International Symposium on Intelligent Data Analysis (IDA), 2015
  16. Goswami P., Amini M.-R., Eric Gaussier. "Language-independent Query Representation for IR Model Parameter Estimation on Unlabeled Collections". ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), 2015
  17. Goswami P., Gaussier E., Amini M.-R. "Study of Heuristic IR Constraints Under Function Discovery Framework". ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR), 2015
  18. Philippe Weinzaepfel, Zaid Harchaoui, Cordelia Schmid. "Learning to track for spatio-temporal action localization". IEEE International Conference on Computer Vision (ICCV), 2015
  19. Lin H., Mairal J., Harchaoui Z. "A Universal Catalyst for First-Order Optimization". Advances in Neural Information Processing Systems (NIPS), 2015
  20. Weinzaepfel P., Revaud J., Harchaoui Z., Schmid C. "Learning to Detect Motion Boundaries", IEEE Conference on Computer Vision & Pattern Recognition, CVPR, 2015
  21. Revaud J., Weinzaepfel P., Harchaoui Z., Schmid C. EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow, IEEE Conference on Computer Vision & Pattern Recognition (CVPR), 2015
  22. Babbar R., Metzig C., Partalas I. Gaussier E., Amini M.-R. On power law distributions in large-scale taxonomies. SIGKDD Explorations Association for Computing Machinery, 16(1):47-56, 2014
  23. Mairal J., Koniusz P., Harchaoui Z., Schmid C. Convolutional Kernel Networks. 28th Annual Conference on Neural Information Processing Systems (NIPS 27), 2014
  24. Babbar R., Partalas I., Gaussier É., Amini M.-R. Re-ranking Approach to Classification in Large-scale Power-law Distributed Category Systems. ACM Special Interest Group on Information Retrieval (SIGIR 2014), 2014 ( pdf)
  25. Potapov D., Douze M., Harchaoui Z., Schmid C., Category-specific video summarization. ECCV 2014 - European Conference on Computer Vision, Sep 2014, Zurich, Switzerland. Springer.
  26. Goswami P., Moura S., Gaussier É., Amini M.-R., Maes F. Exploring the Space of IR Functions. 36th European Conference on Information Retrieval (ECIR), pp. 372--384, 2014 ( pdf)
  27. Babbar R., Partalas I., Gaussier É., Amini M.-R. On Flat versus Hierarchical Classification in Large-Scale Taxonomies. 27th Annual Conference on Neural Information Processing Systems (NIPS 26), pp. 1824--1832, 2013 ( pdf)
  28. Weinzaepfel P., Revaud J., Harchaoui Z., Schmid C. DeepFlow: Large displacement optical flow with deep matching ICCV 2013 - IEEE International Conference on Computer Vision, Dec 2013, Sydney, Australia. IEEE, pp.1385-1392
  29. Harchaoui Z., Juditsky A., Nemirovski A. Conditional gradient algorithms for norm-regularized smooth convex optimization, Mathematical Programming, Series. A, 2014,
  30. Juditsky A., Nemirovski A. Solving Variational Inequalities with Monotone Operators on Domains Given by Linear Minimization Oracles. Mathematical Programming, Series A, DOI 10.1007/s10107-015-0876-3) 2014, arXiv preprint arXiv:1312.1073
  31. He N., Juditsky A., Nemirovski A. Mirror Prox Algorithm for Multi-Term Composite Minimization and Semi-Separable Problems, Computational Optimization and Applications arXiv preprint arXiv:1311.1098 (2014)