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Talks Elsewhere

All long-term participants in Newton Institute programmes are encouraged to give seminars at, or to make short visits to, UK institutions outside Cambridge during their stay. To support this activity, the Institute will cover the travel expenses involved for any participant who is formally invited to speak at another institution; the host institution is expected to cover any accommodation and incidental costs.

To assist organisers of seminar series at UK Universities in their search for relevant speakers, the Newton Institute maintains a register of those of its participants who are visiting from overseas for a period of at least two weeks, and who have indicated their willingness to give lectures or seminars elsewhere during their stay. This register lists their visit dates and key subject areas. To make arrangements, please email: reception[at][dot]uk

The lists of all participants in each programme may be found by visiting the relevant programme's web page.

Speaker Availability Area of Expertise Suggested Talk Titles
Nathalie Akakpo Laboratoire de Probabilités et Modèles Aléatoires

[STS] Statistical scalability

  • 11 Feb to 15 Mar 2018

Model Selection
  • Multivariate Intensity estimation via Hyperbolic Wavelet Selection

Alexander Aue University of California, Davis

[STS] Statistical scalability

  • 18–29 Jun 2018

Time series analysis/Econometrics/High-dimensional statistics
  • Prediction and estimation of functional time series

  • Spectral properties of covariance matrices from high-dimensional time series

David Ayala Montana State University

[HHH] Homotopy harnessing higher structures

  • 18 Nov to 9 Dec 2018

Stratified spaces, configuration spaces, higher category theory, factorization homology, TQFT
  • Factorization homology

Timothy Cannings University of Southern California

[STS] Statistical scalability

  • 1–19 Jun 2018

Classification problems
  • Local nearest neighbour classification with applications to semi-supervised learning

  • Random-Projection Ensemble Classification

Hao Chen University of California, Davis

[STS] Statistical scalability

  • 24 Mar to 15 Apr 2018

nonparametric statistics
  • Change-point detection for multivariate and non-Euclidean data

  • Graph-based two-sample tests

Michael Ching Other

[HHH] Homotopy harnessing higher structures

  • 1 Oct to 21 Dec 2018

Goodwillie calculus, operads
  • Infinity-operads and Day Convolution in Goodwillie Calculus

Holger Dette Ruhr-Universität Bochum

[STS] Statistical scalability

  • 4–14 Feb 2018

  • Copula-based spectral analysis

  • Detecting long-range dependence in nonstationary time series

  • Equivalence of regression curves

  • Optimal designs for comparing curves

  • Relevant change-points and high-dimensional time series

  • Statistical methodology for comparing curves

  • Testing for independence of large dimensional vectors

Paul Goerss Northwestern University

[HHH] Homotopy harnessing higher structures

  • 9 Jul to 30 Nov 2018

Stable Homotopy Theory
  • Chromatic Homotopy Theory

Claudia Kirch Otto-von-Guericke-Universität Magdeburg

[STS] Statistical scalability

  • 25 Apr to 22 Jun 2018

Time series analysis, in particular change point analysis and resampling
  • Frequency domain likelihood approximations for time series bootstrapping and Bayesian nonparametrics

  • Multiple change point estimation based on moving sum statistics

Tatyana Krivobokova Georg-August-Universität Göttingen

[STS] Statistical scalability

  • 22 Apr to 22 Jun 2018

Nonparametric regression; dimension reduction; modelling of dependent data
  • Adaptive empirical Bayesian smoothing splines: estimation and testing

  • Partial least squares for dependent data

Regina Liu Rutgers, The State University of New Jersey

[STS] Statistical scalability

  • 16 Mar 2018

  • Nonparametric tolerance tubes for tracking functional data

Po-Ling Loh University of Wisconsin-Madison

[STS] Statistical scalability

  • 15 Jan to 10 Mar 2018

  • 29 Jan 2018

  • 15 Feb 2018

  • 2 Mar 2018

  • Influence maximisation in stochastic and adversarial settings

  • Modelling disease propagation in networks: source-finding and influence maximisation

  • Statistical inference for infectious disease modeling

  • Statistical inference for infectious diseases modelling

Sam Nariman Northwestern University

[HHH] Homotopy harnessing higher structures

  • 23 Sep to 21 Dec 2018

Algebraic topology
  • A local to global argument on low dimensional manifolds

  • Characteristic classes of symplectic surface bundles.

  • Homology of diffeomorphism groups made discrete

Matthew Plumlee Northwestern University

[UNQ] Uncertainty quantification for complex systems: theory and methodologies

  • 25 Apr to 12 May 2018

Statistical Model Calibration
  • Computer Model Calibration with Confidence and Consistency

Olivier Roustant Mines Saint-Étienne

[UNQ] Uncertainty quantification for complex systems: theory and methodologies

  • 5–9 Feb 2018

  • 5–9 Mar 2018

Surrogate models
  • Gaussian process metamodels with categorical inputs

  • Reducing dimension with Derivative-based Global Sensitivity Measures

Gianluigi Rozza SISSA

[UNQ] Uncertainty quantification for complex systems: theory and methodologies

  • 5–8 Mar 2018

Reduced Order Methods
  • Advances in Reduced Order Methods in CFD

Xiaomin Zhang University of Wisconsin-Madison

[STS] Statistical scalability

  • 1 Mar 2018

  • Theoretical support of machine learning debugging via weighted M-estimation

University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons