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Seminars (STS)

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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
STS 23rd January 2018
11:00 to 12:00
Anru Zhang Singular Value Decomposition for High-dimensional High-order Data
STS 25th January 2018
11:00 to 12:00
Nathalie Akakpo Multivariate intensity estimation via hyperbolic wavelet selection
STS 30th January 2018
11:00 to 12:00
Chao Zheng Revisiting Huber’s M-Estimation: A Tuning-Free Approach
STS 1st February 2018
11:00 to 12:00
Qiwei Yao Testing for High-dimensional White Noise
STS 8th February 2018
11:00 to 12:00
Darren Wilkinson A compositional approach to scalable statistical modelling and computation
STS 13th February 2018
11:00 to 12:00
Arlene Kim Adaptation in log-concave density estimation
STS 15th February 2018
11:00 to 12:00
Clifford Lam Nonlinear Shrinkage Estimation in Quadratic Inference Function Analysis for Correlated Data
STS 20th February 2018
11:00 to 12:00
Alastair Young A Hybrid Block Bootstrap For Sample Quantiles Under Weak Dependence
STS 22nd February 2018
11:00 to 12:00
Varun Jog Information-theoretic perspectives on learning algorithms
STS 27th February 2018
11:00 to 12:00
Danning Li Testing covariance matrices in high dimensions
OFBW38 28th February 2018
10:00 to 10:10
Richard Samworth, Jane Leeks Welcome and Introduction
OFBW38 28th February 2018
10:10 to 10:50
Sergio Bacallado Making sense of Human Microbiome Data
OFBW38 28th February 2018
10:50 to 11:30
Po-Ling Loh Data Science for Networked Data
OFBW38 28th February 2018
11:50 to 12:20
Chris Harbron Delivering Better Treatments to the Right Patients Faster and More Safely : Opportunities for Big Data to Improve Pharmaceutical R&D
OFBW38 28th February 2018
12:20 to 12:50
Nick Goldman Genomics Research at EBI: Challenges in Statistical Scaling
OFBW38 28th February 2018
12:50 to 13:00
Questions and Discussions
OFBW38 28th February 2018
14:00 to 14:30
Andrew Richards Future Challenges for Scaling Big Data at the National Grid
OFBW38 28th February 2018
14:30 to 15:00
Sofia Olhede Scalable Inference for Complex Environmental Data
OFBW38 28th February 2018
15:00 to 15:10
Questions and Discussions
OFBW38 28th February 2018
15:30 to 16:00
Dave Yearling Big Data Challenges in the Performance of Large IP Networks
OFBW38 28th February 2018
16:00 to 16:30
GCHQ Speaker Taking Big Data Upstream: Trading Storage for Approximation
OFBW38 28th February 2018
16:30 to 16:50
Questions, Discussion and Wrap-up
STS 1st March 2018
11:00 to 12:00
Patrick Rubin-Delanchy Progress on the connection between spectral embedding and network models used by the probability, statistics and machine-learning communities
STS 6th March 2018
11:00 to 12:00
Rahul Mazumder New directions in solving structured nonconvex problems in multivariate statistics
STS 8th March 2018
11:00 to 12:00
Tengyao Wang Isotonic regression in general dimensions
STS 13th March 2018
11:00 to 12:00
Regina Liu i-Fusion: Individualized Fusion Learning
STS 15th March 2018
11:00 to 12:00
Mihaela van der Schaar Causal Inference for Treatment Effects: A Theory and Associated Learning Algorithms
STSW02 19th March 2018
10:00 to 11:00
Victor Panaretos Procrustes Analysis of Covariance Operators and Optimal Transport of Gaussian Processes
STSW02 19th March 2018
11:30 to 12:30
Jim Ramsay Dynamic Smoothing Meets Gravity
STSW02 19th March 2018
13:30 to 14:30
Bodhisattva Sen Adaptive Confidence Bands for Shape-Restricted Regression in Multi-dimension using Multiscale Tests
STSW02 19th March 2018
14:30 to 15:30
Richard Samworth Isotonic regression in general dimensions
STSW02 19th March 2018
16:00 to 17:00
Rainer von Sachs Intrinsic wavelet regression for curves and surfaces of Hermitian positive definite matrices
STSW02 20th March 2018
09:00 to 10:00
Robert Nowak Learning Low-Dimensional Metrics
STSW02 20th March 2018
10:00 to 11:00
Matthew Reimherr Manifold Data Analysis with Applications to High-Resolution 3D Imaging
STSW02 20th March 2018
11:30 to 12:30
Davide Pigoli Speech as object data: exploring cross-linguistic changes in Romance languages
STSW02 20th March 2018
13:30 to 14:30
Michelle Carey Uncertainty quantification for Geo-spatial process
STSW02 20th March 2018
14:30 to 15:30
Ian Dryden Object Data Driven Discovery
STSW02 20th March 2018
16:00 to 17:00
Fang Yao Functional regression on manifold with contamination
STSW02 21st March 2018
09:00 to 10:00
Rebecca Willett Graph Total Variation for Inverse Problems with Highly Correlated Designs
STSW02 21st March 2018
10:00 to 11:00
Sofia Olhede Small and Large Scale Network Features
STSW02 21st March 2018
11:30 to 12:30
Johannes Schmidt-hieber Statistical theory for deep neural networks with ReLU activation function
STSW02 22nd March 2018
09:00 to 10:00
Jingjing Zou Mixed Effects Model on Functional Manifolds / Sampling Directed Networks
STSW02 22nd March 2018
10:00 to 11:00
Hao Chen New two-sample tests based on adjacency
STSW02 22nd March 2018
11:30 to 12:30
Alexander Aue Limiting spectral distributions for a class of high-dimensional time series
STSW02 22nd March 2018
13:30 to 14:30
Regina Liu Fusion and Individualized Fusion Learning from Diverse Data Sources by Confidence Distribution
STSW02 22nd March 2018
14:30 to 15:30
Debashis Paul Spectral estimation for a class of high-dimensional linear processes
STSW02 22nd March 2018
16:00 to 17:00
Eardi Lila Statistical Analysis of Functions on Surfaces, with an application to Medical Imaging
STSW02 23rd March 2018
09:00 to 10:00
Sara Anna van de Geer A concentration interval for the Lasso
STSW02 23rd March 2018
10:00 to 11:00
Miguel del alamo Multiscale Bounded Variation Regularization
STSW02 23rd March 2018
11:30 to 12:30
Piotr Fryzlewicz Multiscale methods and recursion in data science
STS 27th March 2018
11:00 to 12:00
Adam Sykulski Spatiotemporal modelling and parameter estimation of anisotropic particle trajectories
STS 29th March 2018
11:00 to 12:00
Steffen Grunewalder Compressed Empirical Measures
STS 3rd April 2018
11:00 to 12:00
Jon August Wellner Inference for the mode of a log-concave density: a likelihood ratio test and confidence intervals
STS 5th April 2018
11:00 to 12:00
Tobias Kley Sequential detection of structural changes in irregularly observed data
STS 10th April 2018
11:00 to 12:00
Heather Battey Large numbers of explanatory variables
STS 12th April 2018
11:00 to 12:00
Georg Hahn Recent advances in quantum annealing and outlook on its potential in statistics
STS 24th April 2018
11:00 to 12:00
Ian McKeague Causal trees and Wigner's semicircle law
STS 26th April 2018
11:00 to 12:00
Jacob Bien High-dimensional variable selection when features are sparse
STS 3rd May 2018
11:00 to 12:00
Sandipan Roy Multiple change-point estimation in high-dimensional Gaussian graphical models
STS 8th May 2018
11:00 to 12:00
Qiyang Han Least squares estimation: Beyond Gaussian regression models
STS 10th May 2018
11:00 to 12:00
Tatyana Krivobokova Partial least squares for dependent data
STS 22nd May 2018
11:00 to 12:00
Marc Hallin Multivariate Distribution and Quantile Functions, Ranks and Signs: A measure transportation approach
STSW04 25th June 2018
11:00 to 11:45
Iain Johnstone tba
STSW04 25th June 2018
11:45 to 12:30
Philippe Rigollet tba
STSW04 25th June 2018
14:00 to 14:45
Matthew Stephens On applications of Empirical Bayes approaches to the Normal Means problem
STSW04 25th June 2018
14:45 to 15:30
tba
STSW04 25th June 2018
16:00 to 16:45
Flori Bunea tba
STSW04 26th June 2018
09:00 to 09:45
Guy Bresler tba
STSW04 26th June 2018
09:45 to 10:30
Chao Gao tba
STSW04 26th June 2018
11:00 to 11:45
Ryan Tibshirani tba
STSW04 26th June 2018
11:45 to 12:30
Peter Bickel Two network scale challenges:Constructing and fitting hierarchical block models and fitting large block models using the mean field method
STSW04 26th June 2018
14:00 to 14:45
Marten Herman Wegkamp tba
STSW04 26th June 2018
14:45 to 15:30
Maryam Fazel tba
STSW04 26th June 2018
16:00 to 16:45
Alex d'Aspremont tba
STSW04 27th June 2018
09:00 to 09:45
Ming Yuan tba
STSW04 27th June 2018
09:45 to 10:30
Edward Ionides tba
STSW04 27th June 2018
11:00 to 11:45
Andrea Montanari tba
STSW04 27th June 2018
11:45 to 12:30
Peter Bartlett Representation, optimization and generalization properties of deep neural networks
STSW04 28th June 2018
09:00 to 09:45
Tong Zhang tba
STSW04 28th June 2018
09:45 to 10:30
Aurore Delaigle tba
STSW04 28th June 2018
11:00 to 11:45
Francis Bach tba
STSW04 28th June 2018
11:45 to 12:30
Elizaveta Levina tba
STSW04 28th June 2018
14:00 to 14:45
Jinchi Lv Asymptotics of Eigenvectors and Eigenvalues for Large Structured Random Matrices
STSW04 28th June 2018
14:45 to 15:30
tba
STSW04 28th June 2018
16:00 to 16:45
Pradeep Ravikumar Robust Estimation via Robust Gradient Estimation
STSW04 29th June 2018
09:00 to 09:45
Alexandre Tsybakov tba
STSW04 29th June 2018
09:45 to 10:30
Vincent Vu Group invariance and computational sufficiency
STSW04 29th June 2018
11:00 to 11:45
Peter Bühlmann tba
STSW04 29th June 2018
11:45 to 12:30
Sara Anna van de Geer tba
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons