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Seminars (STSW01)

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Event When Speaker Title Presentation Material
STSW01 15th January 2018
10:00 to 10:45
Michael Jordan On Gradient-Based Optimization: Accelerated, Stochastic and Nonconvex
STSW01 15th January 2018
11:10 to 11:55
Rina Foygel Barber Robust inference with the knockoff filter
STSW01 15th January 2018
11:55 to 12:40
Jonas Peters The Hardness of Conditional Independence Testing
STSW01 15th January 2018
14:10 to 14:55
Jianqing Fan Uniform pertubation analysis of eigenspaces and its applications to Community Detection, Ranking and Beyond
STSW01 15th January 2018
14:55 to 15:40
Nicolai Meinshausen Instruments, Images, and Anchors
STSW01 15th January 2018
16:10 to 16:55
Gareth Roberts The zig-zag and super-efficient sampling for Bayesian analysis of big data
STSW01 16th January 2018
09:00 to 09:45
Andrea Montanari An Instability in Variational Methods for Learning Topic Models
STSW01 16th January 2018
09:45 to 10:30
Pradeep Ravikumar The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities
STSW01 16th January 2018
11:00 to 11:45
Yingying Fan RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs
STSW01 16th January 2018
11:45 to 12:30
Andreas Krause Learning and inference in probabilistic submodular models
STSW01 16th January 2018
14:00 to 14:45
Quentin Berthet Optimal Link Prediction with Matrix Logistic Regression
STSW01 16th January 2018
14:45 to 15:30
Rainer von Sachs Selecting Groups of Variables for Prediction Problems in Chemometrics: Recent Regularization Approaches
STSW01 17th January 2018
09:00 to 09:45
Alex d'Aspremont Sharpness, Restart and Compressed Sensing Performance
STSW01 17th January 2018
09:45 to 10:30
Lorenzo Rosasco Optimal and efficient learning with random features
STSW01 17th January 2018
11:00 to 11:45
Rebecca Willett Nonlinear Models for Matrix Completion
STSW01 17th January 2018
11:45 to 12:30
Carola-Bibiane Schönlieb Learning from mistakes - learning optimally sparse image filters by quotient minimisation
STSW01 18th January 2018
09:00 to 09:45
Yi Yu Optimal Covariance Change Point Detection in High Dimension
STSW01 18th January 2018
09:45 to 10:30
Alexandre Tsybakov Adaptive estimation of functionals under sparsity
STSW01 18th January 2018
11:00 to 11:45
Claire Boyer On the gap between local recovery guarantees in structured compressed sensing and oracle estimates
STSW01 18th January 2018
11:45 to 12:30
Ioannis Kontoyiannis Small Big Data: Temporal structure in discrete time series
STSW01 18th January 2018
14:00 to 14:45
Judith Rousseau Asymptotics for ABC algorithms
STSW01 18th January 2018
14:45 to 15:30
Andreas Elsener Sharp oracle inequalities for stationary points of nonconvex penalised M-estimators
STSW01 18th January 2018
16:00 to 16:45
Rajen Shah The xyz algorithm for fast interaction search in high-dimensional data
STSW01 19th January 2018
09:00 to 09:45
Alessandro Rudi Falkon: fast and optimal kernel method for large scale machine learning
STSW01 19th January 2018
09:45 to 10:30
Philippe Rigollet Learning determinantal point processes
STSW01 19th January 2018
11:00 to 11:45
Shahar Mendelson An optimal unrestricted learning procedure
STSW01 19th January 2018
11:45 to 12:30
Garvesh Raskutti Variable selection and classification with large-scale presence only data
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons