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StatMathAppli2017

Program 2017

StatMathAppli2017 - September 4 to 8, 2017 - La Villa Clythia, Fréjus - Var

The plenary room is the DESCARTES room

Sunday 3 September

16:00 - 22:00 : Reception of the participants and dinner from 19H30 to 21H00 (cold buffet self service)

Monday 4 September

09:30- 10:00 : Welcome and handing-over of badges

10:00 - 11:30 : Lecture 1 (Francis Bach)

11:30 - 12:00 : Break

12:00 - 13:00 : Oral communications 1 (One presentation every 20 minutes)

  • Patrick Rebeschini : Accelerating message-passing using global information (abstract)
  • Mahendra Mariadassou : Variational Inference for Probabilistic Poisson PCA (abstract)
  • Marco Eigenmann : Structure Learning of Linear Gaussian Structural Equation Models with Weak Edges  (abstract)

13:00 - 15:45 : Lunch and break

15:45 - 17:45 : Lecture 2 (Andrea Montanari)

17:45 - 18:15 : Break

18:15 - 19:15 : Oral communications 2 (One presentation every 20 minutes)

  • Norbert Mikolajewski : Adaptivity and Optimality of the Convex Least-Squares Estimator (abstract)
  • Andreas Elsener : Sharp oracle inequalities for stationary points of nonconvex regularized M-estimators (abstract)
  • Xavier Loizeau : Optimal aggregation in circular deconvolution by a frequentist bayesian approach (abstract)

19:30 - 21:30 : Friendly aperitif and Dinner

Tuesday 5 September

09:30 - 11:30 : Lecture 3 (Andrea Montanari)

11:30 - 12:00 : Break

12:00 - 13:00 : Oral communications 3 (One presentation every 20 minutes)

  • Yann Issartel : Complexity of a Graphon and its Estimation (abstract)
  • Martin Royer : Clustering with a convex, penalized relaxation of K-means (abstract)
  • Edouard Pauwels :The empirical Christoffel function in Statistics and Machine Learning (abstract)

13:00 - 16:30 : Lunch and break

16:30 - 18:00 : Lecture 4 (Francis Bach)

18:00 - 18:30 : Break

18:30 - 19:10 : Oral communications 4 (One presentation every 20 minutes)

  • Tom Berett : Efficient multivariate entropy estimation via K-nearest neighbour distances (abstract)
  • Emilien Joly : Concentration for robust mean estimators : some recent results (abstract)

19:30 - 21:30 : Provencal Dinner

Wednesday 6 September

09:30 - 11:00 : Lecture 5 (Francis Bach)

11:00 - 11:30 : Break

11:30 - 13:00 : Oral communications 5 (One presentation every 20 minutes)

  • Oleksandr Zadorozhnyi : Concentration of weakly dependent Banach-valued sums and applications to kernel learning methods (abstract)
  • Alexander Kreiss : Nonparametric inference for continuous-time event counting and link-based dynamic network models (abstract)

12:10 - 12:20 : Pause / Break

  • Birgit Sollie : Parameter Estimation for Markov-Modulated In nite-Server Queues (abstract)
  • François Bachoc : Consistency of stepwise uncertainty reduction strategies for Gaussian processes (abstract)

13:00 - 15:30 : Lunch

16:00 - 20:00 : FREE TIME

Possible activities on reservation at the arrival of the symposium and at the expense of the participant (this benefit is not part of the conference registration package):
- a walk,
- the visit of a vineyard,
- a cultural visit,
- an excursion.

20:00 - 22:00 : Dinner

Thursday 7 September

09:30 - 11:00 : Lecture 6 (Francis Bach)

11:00 - 11:30 : Break

11:30 - 13:00 : Oral communications 7 (One presentation every 20 minutes)

  • Guillem Rigaill : Changepoint Detection in teh Presence of Outliers (abstract)
  • Solt Kovács : Change point detection for high-dimensional linear regression and its applications for covariance matrices  (abstract)
  • Guillermo Durand : Optimal data-driven weighted step-up procedure with grouped hypotheses and π -adaptation (abstract)
  • Vincent Runge : On the Limit Imbalanced Logistic Regression by Binary Predictors (abstract)

 13:00 - 16:00 : Lunch and break

16:00 - 18:00 : Lecture 7 (Andrea Montanari)

18:00 - 18:30 : Break

18:30 - 19:30 : Oral communications 8 (One presentation every 20 minutes)

  • Claire Brécheteau : A test of isomorphism between metric-measure spaces using the distance-to-a-measure signature (abstract)
  • Kevin Duisters : Frequentist coverage in Bayesian and post-selection restricted space problems (abstract)
  • Aymeric Dieuleveut : Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains (abstract)

19:30 - 21:30 : Dinner

Friday 8 September

08:30 - 10:00 : Lecture 8 (Francis Bach)

10:00 - 10:30 : Break

10:30 - 12:00 : Lecture 9 (Andrea Montanari)

12:00- 14:00 : Lunch and leaving