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Nicolas Vayatis

Identifiers

  • name variant Nicolas Vayatis 0.60 · backfill

Papers (19)

  1. Revealing posturographic features associated with the risk of falling in patients with Parkinsonian syndromes via machine learning cs.LG · 2019 · author #6
  2. ruptures: change point detection in Python stat.CO · 2018 · author #3
  3. A Spectral Method for Activity Shaping in Continuous-Time Information Cascades stat.ML · 2017 · author #4
  4. DICOD: Distributed Convolutional Sparse Coding cs.LG · 2017 · author #3
  5. Global optimization of Lipschitz functions stat.ML · 2017 · author #2
  6. Spectral Bounds in Random Graphs Applied to Spreading Phenomena and Percolation math.PR · 2016 · author #3
  7. A ranking approach to global optimization stat.ML · 2016 · author #2
  8. Stochastic Process Bandits: Upper Confidence Bounds Algorithms via Generic Chaining stat.ML · 2016 · author #2
  9. Optimization for Gaussian Processes via Chaining stat.ML · 2015 · author #3
  10. What Makes a Good Plan? An Efficient Planning Approach to Control Diffusion Processes in Networks math.OC · 2014 · author #3
  11. Tight Bounds for Influence in Diffusion Networks and Application to Bond Percolation and Epidemiology math.PR · 2014 · author #3
  12. Nonparametric Markovian Learning of Triggering Kernels for Mutually Exciting and Mutually Inhibiting Multivariate Hawkes Processes math.PR · 2014 · author #2
  13. Gaussian Process Optimization with Mutual Information stat.ML · 2013 · author #3
  14. Can Small Islands Protect Nearby Coasts From Tsunamis? An Active Experimental Design Approach physics.flu-dyn · 2013 · author #3
  15. Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration cs.LG · 2013 · author #4
  16. Link Prediction in Graphs with Autoregressive Features stat.ML · 2012 · author #3
  17. Graph Prediction in a Low-Rank and Autoregressive Setting stat.ML · 2012 · author #3
  18. A Regularization Approach for Prediction of Edges and Node Features in Dynamic Graphs cs.LG · 2012 · author #4
  19. Discussion of ``2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization'' by V. Koltchinskii q-fin.RM · 2007 · author #3

Mentions

  • 1510.05576 #3 · backfill · confidence 0.70 Nicolas Vayatis
  • 1407.4760 #3 · backfill · confidence 0.70 Nicolas Vayatis
  • 1407.4744 #3 · backfill · confidence 0.70 Nicolas Vayatis
  • 1405.4175 #2 · backfill · confidence 0.70 Nicolas Vayatis
  • 1311.4825 #3 · backfill · confidence 0.70 Nicolas Vayatis
  • 1305.7385 #3 · backfill · confidence 0.70 Nicolas Vayatis
  • 1304.5350 #4 · backfill · confidence 0.70 Nicolas Vayatis
  • 1209.3230 #3 · backfill · confidence 0.70 Nicolas Vayatis
  • 1205.1406 #3 · backfill · confidence 0.70 Nicolas Vayatis
  • 1203.5438 #4 · backfill · confidence 0.70 Nicolas Vayatis
  • 0708.0098 #3 · backfill · confidence 0.70 Nicolas Vayatis

Frequent Coauthors