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STSW01 |
15th January 2018
10:00 to 10:45 |
Michael Jordan |
On Gradient-Based Optimization: Accelerated, Stochastic and Nonconvex |
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STSW01 |
15th January 2018
11:10 to 11:55 |
Rina Foygel Barber |
Robust inference with the knockoff filter |
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STSW01 |
15th January 2018
11:55 to 12:40 |
Jonas Peters |
The Hardness of Conditional Independence Testing |
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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 |
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STSW01 |
15th January 2018
14:55 to 15:40 |
Nicolai Meinshausen |
Instruments, Images, and Anchors |
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STSW01 |
15th January 2018
16:10 to 16:55 |
Gareth Roberts |
The zig-zag and super-efficient sampling for Bayesian analysis of big data |
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STSW01 |
16th January 2018
09:00 to 09:45 |
Andrea Montanari |
An Instability in Variational Methods for Learning Topic Models |
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STSW01 |
16th January 2018
09:45 to 10:30 |
Pradeep Ravikumar |
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities |
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STSW01 |
16th January 2018
11:00 to 11:45 |
Yingying Fan |
RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs |
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STSW01 |
16th January 2018
11:45 to 12:30 |
Andreas Krause |
Learning and inference in probabilistic submodular models |
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STSW01 |
16th January 2018
14:00 to 14:45 |
Quentin Berthet |
Optimal Link Prediction with Matrix Logistic Regression |
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STSW01 |
16th January 2018
14:45 to 15:30 |
Rainer von Sachs |
Selecting Groups of Variables for Prediction Problems in Chemometrics: Recent Regularization Approaches |
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STSW01 |
17th January 2018
09:00 to 09:45 |
Alex d'Aspremont |
Sharpness, Restart and Compressed Sensing Performance |
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STSW01 |
17th January 2018
09:45 to 10:30 |
Lorenzo Rosasco |
Optimal and efficient learning with random features |
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STSW01 |
17th January 2018
11:00 to 11:45 |
Rebecca Willett |
Nonlinear Models for Matrix Completion |
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STSW01 |
17th January 2018
11:45 to 12:30 |
Carola-Bibiane Schönlieb |
Learning from mistakes - learning optimally sparse image filters by quotient minimisation |
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STSW01 |
18th January 2018
09:00 to 09:45 |
Yi Yu |
Optimal Covariance Change Point Detection in High Dimension |
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STSW01 |
18th January 2018
09:45 to 10:30 |
Alexandre Tsybakov |
Adaptive estimation of functionals under sparsity |
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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 |
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STSW01 |
18th January 2018
11:45 to 12:30 |
Ioannis Kontoyiannis |
Small Big Data: Temporal structure in discrete time series |
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STSW01 |
18th January 2018
14:00 to 14:45 |
Judith Rousseau |
Asymptotics for ABC algorithms |
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STSW01 |
18th January 2018
14:45 to 15:30 |
Andreas Elsener |
Sharp oracle inequalities for stationary points of nonconvex penalised M-estimators |
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STSW01 |
18th January 2018
16:00 to 16:45 |
Rajen Shah |
The xyz algorithm for fast interaction search in high-dimensional data |
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STSW01 |
19th January 2018
09:00 to 09:45 |
Alessandro Rudi |
Falkon: fast and optimal kernel method for large scale machine learning |
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STSW01 |
19th January 2018
09:45 to 10:30 |
Philippe Rigollet |
Learning determinantal point processes |
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STSW01 |
19th January 2018
11:00 to 11:45 |
Shahar Mendelson |
An optimal unrestricted learning procedure |
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STSW01 |
19th January 2018
11:45 to 12:30 |
Garvesh Raskutti |
Variable selection and classification with large-scale presence only data |
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STS |
23rd January 2018
11:00 to 12:00 |
Anru Zhang |
Singular Value Decomposition for High-dimensional High-order Data |
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STS |
25th January 2018
11:00 to 12:00 |
Nathalie Akakpo |
Multivariate intensity estimation via hyperbolic wavelet selection |
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STS |
30th January 2018
11:00 to 12:00 |
Chao Zheng |
Revisiting Huber’s M-Estimation: A Tuning-Free Approach |
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STS |
1st February 2018
11:00 to 12:00 |
Qiwei Yao |
Testing for High-dimensional White Noise |
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STS |
8th February 2018
11:00 to 12:00 |
Darren Wilkinson |
A compositional approach to scalable statistical modelling and computation |
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STS |
13th February 2018
11:00 to 12:00 |
Arlene Kim |
Adaptation in log-concave density estimation |
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STS |
15th February 2018
11:00 to 12:00 |
Clifford Lam |
Nonlinear Shrinkage Estimation in Quadratic Inference Function Analysis for Correlated Data |
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STS |
20th February 2018
11:00 to 12:00 |
Alastair Young |
A Hybrid Block Bootstrap For Sample Quantiles Under Weak Dependence |
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STS |
22nd February 2018
11:00 to 12:00 |
Varun Jog |
Information-theoretic perspectives on learning algorithms |
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STS |
27th February 2018
11:00 to 12:00 |
Danning Li |
Testing covariance matrices in high dimensions |
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OFBW38 |
28th February 2018
10:00 to 10:10 |
Richard Samworth, Jane Leeks |
Welcome and Introduction |
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OFBW38 |
28th February 2018
10:10 to 10:50 |
Sergio Bacallado |
Making sense of Human Microbiome Data |
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OFBW38 |
28th February 2018
10:50 to 11:30 |
Po-Ling Loh |
Data Science for Networked Data |
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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 |
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OFBW38 |
28th February 2018
12:20 to 12:50 |
Nick Goldman |
Genomics Research at EBI: Challenges in Statistical Scaling |
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OFBW38 |
28th February 2018
12:50 to 13:00 |
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Questions and Discussions |
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OFBW38 |
28th February 2018
14:00 to 14:30 |
Andrew Richards |
Future Challenges for Scaling Big Data at the National Grid |
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OFBW38 |
28th February 2018
14:30 to 15:00 |
Sofia Olhede |
Scalable Inference for Complex Environmental Data |
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OFBW38 |
28th February 2018
15:00 to 15:10 |
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Questions and Discussions |
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OFBW38 |
28th February 2018
15:30 to 16:00 |
Dave Yearling |
Big Data Challenges in the Performance of Large IP Networks |
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OFBW38 |
28th February 2018
16:00 to 16:30 |
GCHQ Speaker |
Taking Big Data Upstream: Trading Storage for Approximation |
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OFBW38 |
28th February 2018
16:30 to 16:50 |
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Questions, Discussion and Wrap-up |
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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 |
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STS |
6th March 2018
11:00 to 12:00 |
Rahul Mazumder |
New directions in solving structured nonconvex problems in multivariate statistics |
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STS |
8th March 2018
11:00 to 12:00 |
Tengyao Wang |
Isotonic regression in general dimensions |
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STS |
13th March 2018
11:00 to 12:00 |
Regina Liu |
i-Fusion: Individualized Fusion Learning |
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STS |
15th March 2018
11:00 to 12:00 |
Mihaela van der Schaar |
Causal Inference for Treatment Effects: A Theory and Associated Learning Algorithms |
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STSW02 |
19th March 2018
10:00 to 11:00 |
Victor Panaretos |
Procrustes Analysis of Covariance Operators and Optimal Transport of Gaussian Processes |
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STSW02 |
19th March 2018
11:30 to 12:30 |
Jim Ramsay |
Dynamic Smoothing Meets Gravity |
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STSW02 |
19th March 2018
13:30 to 14:30 |
Bodhisattva Sen |
Adaptive Confidence Bands for Shape-Restricted Regression in Multi-dimension using Multiscale Tests |
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STSW02 |
19th March 2018
14:30 to 15:30 |
Richard Samworth |
Isotonic regression in general dimensions |
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STSW02 |
19th March 2018
16:00 to 17:00 |
Rainer von Sachs |
Intrinsic wavelet regression for curves and surfaces of Hermitian positive definite matrices |
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STSW02 |
20th March 2018
09:00 to 10:00 |
Robert Nowak |
Learning Low-Dimensional Metrics |
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STSW02 |
20th March 2018
10:00 to 11:00 |
Matthew Reimherr |
Manifold Data Analysis with Applications to High-Resolution 3D Imaging |
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STSW02 |
20th March 2018
11:30 to 12:30 |
Davide Pigoli |
Speech as object data: exploring cross-linguistic changes in Romance languages |
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STSW02 |
20th March 2018
13:30 to 14:30 |
Michelle Carey |
Uncertainty quantification for Geo-spatial process |
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STSW02 |
20th March 2018
14:30 to 15:30 |
Ian Dryden |
Object Data Driven Discovery |
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STSW02 |
20th March 2018
16:00 to 17:00 |
Fang Yao |
Functional regression on manifold with contamination |
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STSW02 |
21st March 2018
09:00 to 10:00 |
Rebecca Willett |
Graph Total Variation for Inverse Problems with Highly Correlated Designs |
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STSW02 |
21st March 2018
10:00 to 11:00 |
Sofia Olhede |
Small and Large Scale Network Features |
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STSW02 |
21st March 2018
11:30 to 12:30 |
Johannes Schmidt-hieber |
Statistical theory for deep neural networks with ReLU activation function |
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STSW02 |
22nd March 2018
09:00 to 10:00 |
Jingjing Zou |
Mixed Effects Model on Functional Manifolds / Sampling Directed Networks |
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STSW02 |
22nd March 2018
10:00 to 11:00 |
Hao Chen |
New two-sample tests based on adjacency |
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STSW02 |
22nd March 2018
11:30 to 12:30 |
Alexander Aue |
Limiting spectral distributions for a class of high-dimensional time series |
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STSW02 |
22nd March 2018
13:30 to 14:30 |
Regina Liu |
Fusion and Individualized Fusion Learning from Diverse Data Sources by Confidence Distribution |
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STSW02 |
22nd March 2018
14:30 to 15:30 |
Debashis Paul |
Spectral estimation for a class of high-dimensional linear processes |
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STSW02 |
22nd March 2018
16:00 to 17:00 |
Eardi Lila |
Statistical Analysis of Functions on Surfaces, with an application to Medical Imaging |
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STSW02 |
23rd March 2018
09:00 to 10:00 |
Sara Anna van de Geer |
A concentration interval for the Lasso |
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STSW02 |
23rd March 2018
10:00 to 11:00 |
Miguel del alamo |
Multiscale Bounded Variation Regularization |
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STSW02 |
23rd March 2018
11:30 to 12:30 |
Piotr Fryzlewicz |
Multiscale methods and recursion in data science |
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STS |
27th March 2018
11:00 to 12:00 |
Adam Sykulski |
Spatiotemporal modelling and parameter estimation of anisotropic particle trajectories |
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STS |
29th March 2018
11:00 to 12:00 |
Steffen Grunewalder |
Compressed Empirical Measures |
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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 |
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STS |
5th April 2018
11:00 to 12:00 |
Tobias Kley |
Sequential detection of structural changes in irregularly observed data |
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STS |
10th April 2018
11:00 to 12:00 |
Heather Battey |
Large numbers of explanatory variables |
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STS |
12th April 2018
11:00 to 12:00 |
Georg Hahn |
Recent advances in quantum annealing and outlook on its potential in statistics |
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STS |
24th April 2018
11:00 to 12:00 |
Ian McKeague |
Causal trees and Wigner's semicircle law |
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STS |
26th April 2018
11:00 to 12:00 |
Jacob Bien |
High-dimensional variable selection when features are sparse |
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STS |
1st May 2018
11:00 to 12:00 |
Dino Sejdinovic |
Approximate kernel embeddings of distributions |
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STS |
3rd May 2018
11:00 to 12:00 |
Sandipan Roy |
Multiple change-point estimation in high-dimensional Gaussian graphical models |
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STS |
8th May 2018
11:00 to 12:00 |
Qiyang Han |
Least squares estimation: Beyond Gaussian regression models |
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STS |
10th May 2018
11:00 to 12:00 |
Tatyana Krivobokova |
Partial least squares for dependent data |
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STS |
15th May 2018
11:00 to 12:00 |
Jana Jankova |
Inference for eigenstructure of high-dimensional covariance matrices |
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STS |
17th May 2018
11:00 to 12:00 |
Xinghao Qiao |
Regression with Dependent Functional Errors-in-Predictors |
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STS |
22nd May 2018
11:00 to 12:00 |
Marc Hallin |
Multivariate Distribution and Quantile Functions, Ranks and Signs: A measure transportation approach |
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STS |
29th May 2018
11:00 to 12:00 |
Victor Panaretos |
Amplitude and phase variation of point processes |
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STS |
30th May 2018
10:00 to 11:00 |
Edward George |
The remarkable flexibility of BART |
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STS |
31st May 2018
11:00 to 12:00 |
Yining Chen |
Narrowest-over-threshold detection of multiple change-points and change-point-like features |
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STS |
5th June 2018
11:00 to 12:00 |
Jennifer Wadsworth |
Spatial extremes: A conditional approach |
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STS |
7th June 2018
11:00 to 12:00 |
Timothy Cannings |
Classification with imperfect training labels |
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STS |
12th June 2018
11:00 to 12:00 |
Shahin Tavakoli |
Tests for separability in nonparametric covariance operators of random surfaces |
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STS |
14th June 2018
10:00 to 11:00 |
Patrick Rebeschini |
Multi-agent learning: Implicit regularization and order-optimal gossip |
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STS |
19th June 2018
11:00 to 12:00 |
Yanyuan Ma |
A superpopulation treatment to case-control data analysis |
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STS |
22nd June 2018
10:00 to 11:00 |
Victor Brunel |
Concentration of the empirical contours of Tukey’s halfspace depth |
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STS |
22nd June 2018
16:00 to 17:00 |
Peter Bühlmann |
Rothschild Lecture: Causality, Invariance and Robustness |
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STSW04 |
25th June 2018
11:00 to 11:45 |
Iain Johnstone |
Eigenstructure in high dimensional random effects models |
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STSW04 |
25th June 2018
11:45 to 12:30 |
Philippe Rigollet |
Uncoupled isotonic regression via minimum Wasserstein deconvolution |
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STSW04 |
25th June 2018
14:00 to 14:45 |
Matthew Stephens |
On applications of Empirical Bayes approaches to the Normal Means problem |
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STSW04 |
25th June 2018
14:45 to 15:30 |
Jana Jankova |
Asymptotic Inference for Eigenstructure of Large Covariance Matrices |
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STSW04 |
25th June 2018
16:00 to 16:45 |
Flori Bunea |
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics |
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STSW04 |
26th June 2018
09:00 to 09:45 |
Guy Bresler |
Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure |
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STSW04 |
26th June 2018
09:45 to 10:30 |
Chao Gao |
Reduced Isotonic Regression |
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STSW04 |
26th June 2018
11:00 to 11:45 |
Ryan Tibshirani |
Dykstra’s Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions |
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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 |
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STSW04 |
26th June 2018
14:00 to 14:45 |
Marten Herman Wegkamp |
Adaptive estimation of the rank of the regression coefficient matrix |
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STSW04 |
26th June 2018
14:45 to 15:30 |
Maryam Fazel |
Competitive Online Algorithms for Budgeted Allocation with Application to Online Experiment Design |
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STSW04 |
26th June 2018
16:00 to 16:45 |
Alex d'Aspremont |
An Approximate Shapley-Folkman Theorem. |
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STSW04 |
27th June 2018
09:00 to 09:45 |
Urvashi Oswal |
Selection and Clustering of Correlated variables using OWL/GrOWL regularizers |
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STSW04 |
27th June 2018
09:45 to 10:30 |
Elizaveta Levina |
Matrix completion in network analysis |
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STSW04 |
27th June 2018
11:00 to 11:45 |
Garvesh Raskutti |
Estimating sparse additive auto-regressive network models |
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STSW04 |
27th June 2018
11:45 to 12:30 |
Peter Bartlett |
Representation, optimization and generalization properties of deep neural networks |
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STSW04 |
28th June 2018
09:00 to 09:45 |
Tong Zhang |
Candidates vs. Noises Estimation for Large Multi-Class Classification Problem |
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STSW04 |
28th June 2018
09:45 to 10:30 |
Aurore Delaigle |
Estimating a covariance function from fragments of functional data |
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STSW04 |
28th June 2018
11:00 to 11:45 |
Francis Bach |
Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes |
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STSW04 |
28th June 2018
11:45 to 12:30 |
Edward Ionides |
Monte Carlo adjusted profile likelihood, with applications to spatiotemporal and phylodynamic inference. |
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STSW04 |
28th June 2018
14:00 to 14:45 |
Jinchi Lv |
Asymptotics of Eigenvectors and Eigenvalues for Large Structured Random Matrices |
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STSW04 |
28th June 2018
14:45 to 15:30 |
Rui Castro |
Are there needles in a (moving) haystack? Adaptive sensing for detection and estimation of static and dynamically evolving signals |
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STSW04 |
28th June 2018
16:00 to 16:45 |
Pradeep Ravikumar |
Robust Estimation via Robust Gradient Estimation |
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STSW04 |
29th June 2018
09:00 to 09:45 |
Alexandre Tsybakov |
Does data interpolation contradict statistical optimality? |
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STSW04 |
29th June 2018
09:45 to 10:30 |
Vincent Vu |
Group invariance and computational sufficiency |
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STSW04 |
29th June 2018
11:00 to 11:45 |
Richard Samworth |
Data perturbation for data science |
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STSW04 |
29th June 2018
11:45 to 12:30 |
Domagoj Ćevid, Peter Bühlmann |
Deconfounding using Spectral Transformations |
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