Future challenges in statistical scalability

Workshop theme

Our aim is to conclude the programme with a vision of the future. On the one hand, it will summarise how recent advances in the mathematical sciences can be exploited by practitioners suffering from a data deluge; on the other, participants will present outstanding challenges facing the discipline in the coming years.

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Timetable

Monday 25th June 2018
09:45 to 10:20	Registration	No Room Required
10:20 to 10:50	Morning Coffee	No Room Required
10:50 to 11:00	Welcome from Christie Marr (INI Deputy Director)	No Room Required
11:00 to 11:45	Iain Johnstone Stanford University Eigenstructure in high dimensional random effects models	Room 1
11:45 to 12:30	Philippe Rigollet Massachusetts Institute of Technology Uncoupled isotonic regression via minimum Wasserstein deconvolution	Room 1
12:30 to 14:00	Buffet Lunch at INI	No Room Required
14:00 to 14:45	Matthew Stephens University of Chicago On applications of Empirical Bayes approaches to the Normal Means problem	Room 1
14:45 to 15:30	Jana Jankova University of Cambridge Asymptotic Inference for Eigenstructure of Large Covariance Matrices	Room 1
15:30 to 16:00	Afternoon Tea	No Room Required
16:00 to 16:45	Flori Bunea Cornell University A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics	Room 1
17:00 to 18:00	Welcome Wine Reception & Posters at INI	No Room Required

Tuesday 26th June 2018
09:00 to 09:45	Guy Bresler Massachusetts Institute of Technology Reducibility and Computational Lower Bounds for Problems with Planted Sparse Structure	Room 1
09:45 to 10:30	Chao Gao University of Chicago Reduced Isotonic Regression	Room 1
10:30 to 11:00	Morning Coffee	No Room Required
11:00 to 11:45	Ryan Tibshirani Carnegie Mellon University Dykstra’s Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions	Room 1
11:45 to 12:30	Peter Bickel University of California, Berkeley Two network scale challenges:Constructing and fitting hierarchical block models and fitting large block models using the mean field method	Room 1
12:30 to 14:00	Buffet Lunch at INI	No Room Required
14:00 to 14:45	Marten Herman Wegkamp Cornell University Adaptive estimation of the rank of the regression coefficient matrix	Room 1
14:45 to 15:30	Maryam Fazel University of Washington Competitive Online Algorithms for Budgeted Allocation with Application to Online Experiment Design	Room 1
15:30 to 16:00	Afternoon Tea	No Room Required
16:00 to 16:45	Alex d'Aspremont CNRS - Ecole Normale Superieure Paris An Approximate Shapley-Folkman Theorem.	Room 1

Wednesday 27th June 2018
09:00 to 09:45	Urvashi Oswal University of Wisconsin-Madison Selection and Clustering of Correlated variables using OWL/GrOWL regularizers	Room 1
09:45 to 10:30	Elizaveta Levina University of Michigan Matrix completion in network analysis	Room 1
10:30 to 11:00	Morning Coffee	No Room Required
11:00 to 11:45	Garvesh Raskutti University of Wisconsin-Madison Estimating sparse additive auto-regressive network models	Room 1
11:45 to 12:30	Peter Bartlett University of California, Berkeley Representation, optimization and generalization properties of deep neural networks	Room 1
12:30 to 14:00	Buffet Lunch at INI	No Room Required
14:00 to 17:00	Free Afternoon	No Room Required

Thursday 28th June 2018
09:00 to 09:45	Tong Zhang Rutgers, The State University of New Jersey Candidates vs. Noises Estimation for Large Multi-Class Classification Problem	Room 1
09:45 to 10:30	Aurore Delaigle University of Melbourne Estimating a covariance function from fragments of functional data	Room 1
10:30 to 11:00	Morning Coffee	No Room Required
11:00 to 11:45	Francis Bach INRIA Paris - Rocquencourt; ENS - Paris Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes	Room 1
11:45 to 12:30	Edward Ionides University of Michigan Monte Carlo adjusted profile likelihood, with applications to spatiotemporal and phylodynamic inference.	Room 1
12:30 to 14:00	Buffet Lunch at INI	No Room Required
14:00 to 14:45	Jinchi Lv University of Southern California Asymptotics of Eigenvectors and Eigenvalues for Large Structured Random Matrices	Room 1
14:45 to 15:30	Rui Castro Technische Universiteit Eindhoven Are there needles in a (moving) haystack? Adaptive sensing for detection and estimation of static and dynamically evolving signals	Room 1
15:30 to 16:00	Afternoon Tea	No Room Required
16:00 to 16:45	Pradeep Ravikumar Carnegie Mellon University Robust Estimation via Robust Gradient Estimation	Room 1
19:30 to 22:00	Formal Dinner at St John's College	No Room Required

Friday 29th June 2018
09:00 to 09:45	Alexandre Tsybakov CREST: Centre de Recherche en Économie et Statistique Does data interpolation contradict statistical optimality?	Room 1
09:45 to 10:30	Vincent Vu Ohio State University Group invariance and computational sufficiency	Room 1
10:30 to 11:00	Morning Coffee	No Room Required
11:00 to 11:45	Richard Samworth University of Cambridge Data perturbation for data science	Room 1
11:45 to 12:30	Domagoj Ćevid ETH Zürich ; Peter Bühlmann ETH Zürich Deconfounding using Spectral Transformations	Room 1
12:30 to 14:00	Buffet Lunch at INI	No Room Required

Future challenges in statistical scalability

Organisers

Paul Fearnhead Lancaster University
Robert Nowak University of Wisconsin-Madison; Toyota Technological Institute

Speakers

Francis Bach INRIA Paris - Rocquencourt; ENS - Paris
Peter Bartlett University of California, Berkeley
Peter Bickel University of California, Berkeley
Guy Bresler Massachusetts Institute of Technology
Flori Bunea Cornell University
Peter Bühlmann ETH Zürich
Rui Castro Technische Universiteit Eindhoven
Alex d'Aspremont CNRS - Ecole Normale Superieure Paris
Aurore Delaigle University of Melbourne
Maryam Fazel University of Washington
Chao Gao University of Chicago
Edward Ionides University of Michigan
Jana Jankova University of Cambridge
Iain Johnstone Stanford University
Elizaveta Levina University of Michigan
Jinchi Lv University of Southern California
Urvashi Oswal University of Wisconsin-Madison
Garvesh Raskutti University of Wisconsin-Madison
Pradeep Ravikumar Carnegie Mellon University
Philippe Rigollet Massachusetts Institute of Technology
Richard Samworth University of Cambridge
Matthew Stephens University of Chicago
Ryan Tibshirani Carnegie Mellon University
Alexandre Tsybakov CREST: Centre de Recherche en Économie et Statistique
Vincent Vu Ohio State University
Marten Herman Wegkamp Cornell University
Tong Zhang Rutgers, The State University of New Jersey
Domagoj Ćevid ETH Zürich

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Participants

John Aston University of Cambridge
Alexander Aue University of California, Davis
Sergio Bacallado University of Cambridge
Francis Bach INRIA Paris - Rocquencourt; ENS - Paris
Peter Bartlett University of California, Berkeley
Quentin Berthet University of Cambridge
Peter Bickel University of California, Berkeley
Guy Bresler Massachusetts Institute of Technology
Victor Brunel Massachusetts Institute of Technology
Flori Bunea Cornell University
Peter Bühlmann ETH Zürich
Rui Castro Technische Universiteit Eindhoven
Yining Chen London School of Economics
Haeran Cho University of Bristol
Alex d'Aspremont CNRS - Ecole Normale Superieure Paris
Aurore Delaigle University of Melbourne
John Duchi Stanford University
Idris Eckley Lancaster University
Maryam Fazel University of Washington
Paul Fearnhead Lancaster University
Chao Gao University of Chicago
Arthur Gretton University College London
Steffen Grunewalder Lancaster University - Mathematics and Statistic Dept.
Edward Ionides University of Michigan
Malaika Iyer Columbia University
Kaushik Jana The Alan Turing Institute; Imperial College London
Jana Jankova University of Cambridge
Iain Johnstone Stanford University
Azadeh Khaleghi Lancaster University - Mathematics and Statistic Dept.; Lancaster University
Clauda Kirch Otto-von-Guericke-Universität Magdeburg
Tatyana Krivobokova Georg-August-Universität Göttingen
Keith Levin University of Michigan
Elizaveta Levina University of Michigan
Tengyuan Liang University of Chicago
Jinchi Lv University of Southern California
Zongming Ma University of Pennsylvania
Jiadong Mao University of Melbourne
George Michailidis University of Florida
Robert Nowak University of Wisconsin-Madison; Toyota Technological Institute
Sofia Olhede University College London
Alexey Onatskiy University of Cambridge
Urvashi Oswal University of Wisconsin-Madison
Jonas Peters University of Copenhagen
Garvesh Raskutti University of Wisconsin-Madison
Pradeep Ravikumar Carnegie Mellon University
Benjamin Recht University of California, Berkeley
Nickl Richard University of Cambridge
Philippe Rigollet Massachusetts Institute of Technology
Richard Samworth University of Cambridge
Johannes Schmidt-hieber Universiteit Leiden
Carola-Bibiane Schönlieb University of Cambridge
Rajen Shah University of Cambridge
Tony Sit Chinese University of Hong Kong
Matthew Stephens University of Chicago
Adam Sykulski Lancaster University
Shahin Tavakoli University of Warwick
Ryan Tibshirani Carnegie Mellon University
Alexandre Tsybakov CREST: Centre de Recherche en Économie et Statistique
Martin Tveten Matematisk Institutt, Oslo
Sara Anna van de Geer ETH Zürich
Vincent Vu Ohio State University
Tengyao Wang University of Cambridge
Marten Herman Wegkamp Cornell University
Yihong Wu Yale University
Min Xu University of Pennsylvania
Alastair Young Imperial College London
Yi Yu University of Cambridge; University of Bristol
Tong Zhang Rutgers, The State University of New Jersey
Chao Zheng Lancaster University - Mathematics and Statistic Dept.
Shuheng Zhou University of California, Riverside; University of Michigan
Domagoj Ćevid ETH Zürich