Codes MSC :
62C20 - Minimax procedures
62H30 - Classification and discrimination; cluster analysis

Ressources complémentaires :
https://www.cirm-math.fr/RepOrga/2146/Slides/ABRAMOVICH_Talk.pdf

Voir aussi

• [Virtualconference] Experimenting in equilibrium / Auteur de la Conférence Wager, Stefan. CIRM
  
• [Virtualconference] Structure learning for CTBN's / Auteur de la Conférence Miasojedow, Błażej. CIRM
  
• [Virtualconference] The price of competition: effect size heterogeneity matters in high dimensions! / Auteur de la Conférence Wang, Hua. CIRM
  
• [Virtualconference] Scaling of scoring rules / Auteur de la Conférence Wallin, Jonas. CIRM
  
• [Virtualconference] Hierarchical bayes modeling for large-scale inference / Auteur de la Conférence Yekutieli, Daniel. CIRM
  
• [Virtualconference] Change: detection, estimation, segmentation / Auteur de la Conférence Siegmund, David. CIRM
  
• [Virtualconference] High-dimensional, multiscale online changepoint detection / Auteur de la Conférence Samworth, Richard. CIRM
  
• [Virtualconference] The smoothed multivariate square-root Lasso: an optimization lens on concomitant estimation / Auteur de la Conférence Salmon, Joseph. CIRM
  
• [Virtualconference] Knockoff genotypes: value in counterfeit / Auteur de la Conférence Sabatti, Chiara. CIRM
  
• [Virtualconference] Optimal and maximin procedures for multiple testing problems / Auteur de la Conférence Rosset, Saharon. CIRM
  
• [Virtualconference] Sparse multiple testing: can one estimate the null distribution ? / Auteur de la Conférence Roquain, Etienne. CIRM
  
• [Virtualconference] Bayesian spatial adaptation / Auteur de la Conférence Rockova, Veronika. CIRM
  
• [Virtualconference] Universal inference using the split likelihood ratio test / Auteur de la Conférence Ramdas, Aaditya K.. CIRM
  
• [Virtualconference] How to estimate a density on a spider web ? / Auteur de la Conférence Picard, Dominique. CIRM
  
• [Virtualconference] Post hoc bounds on false positives using reference families / Auteur de la Conférence Neuvial, Pierre. CIRM
  
• [Virtualconference] Quasi logistic distributions and Gaussian scale mixing / Auteur de la Conférence Letac, Gerard. CIRM
  
• [Virtualconference] Shrinkage estimation of mean for complex multivariate normal distribution with unknown covariance when p > n / Auteur de la Conférence Konno, Yoshihiko. CIRM
  
• [Virtualconference] Treatment effect estimation with missing attributes / Auteur de la Conférence Josse, Julie. CIRM
  
• [Virtualconference] Floodgate: inference for model-free variable importance / Auteur de la Conférence Janson, Lucas. CIRM
  
• [Virtualconference] On Cholesky structures on real symmetric matrices and their applications / Auteur de la Conférence Ishi, Hideyuki. CIRM
  
• [Virtualconference] Optimal control of false discovery criteria in the general two-group model / Auteur de la Conférence Heller, Ruth. CIRM
  
• [Virtualconference] Isotonic Distributional Regression (IDR) - leveraging monotonicity, uniquely so! / Auteur de la Conférence Gneiting, Tilmann. CIRM
  
• [Virtualconference] De-biasing arbitrary convex regularizers and asymptotic normality / Auteur de la Conférence Bellec, Pierre C.. CIRM
  
• [Virtualconference] Consistent model selection criteria and goodness-of-fit test for common time series models / Auteur de la Conférence Bardet, Jean-Marc. CIRM
  

ABRAMOVICH, Felix, GRINSHTEIN, Vadim, et LEVY, Tomer. Multiclass classification by sparse multinomial logistic regression. arXiv preprint arXiv:2003.01951, 2020. - https://arxiv.org/abs/2003.01951


ABRAMOVICH, Felix et GRINSHTEIN, Vadim. High-dimensional classification by sparse logistic regression. IEEE Transactions on Information Theory, 2018, vol. 65, no 5, p. 3068-3079. - https://doi.org/10.1109/TIT.2018.2884963


ALQUIER, Pierre, COTTET, Vincent, LECUÉ, Guillaume, et al. Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions. The Annals of Statistics, 2019, vol. 47, no 4, p. 2117-2144. - http://dx.doi.org/10.1214/18-AOS1742


BARTLETT, Peter L., JORDAN, Michael I., et MCAULIFFE, Jon D. Convexity, classification, and risk bounds. Journal of the American Statistical Association, 2006, vol. 101, no 473, p. 138-156. - https://www.jstor.org/stable/30047445


BELLEC, Pierre C., LECUÉ, Guillaume, TSYBAKOV, Alexandre B., et al. Slope meets lasso: improved oracle bounds and optimality. The Annals of Statistics, 2018, vol. 46, no 6B, p. 3603-3642. - http://dx.doi.org/10.1214/17-AOS1670


DANIELY, Amit, SABATO, Sivan, BEN-DAVID, Shai, et al. Multiclass learnability and the erm principle. The Journal of Machine Learning Research, 2015, vol. 16, no 1, p. 2377-2404. - http://jmlr.org/papers/volume16/daniely15a/daniely15a.pdf