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11 upcoming talks and 6280 talks in the archive: show first 500.

Isaac Newton Institute Seminar Series

Optimal Covariance Change Point Detection in High Dimension

STSW01 - Theoretical and algorithmic underpinnings of Big Data

UserYi Yu (University of Cambridge; University of Bristol).

HouseSeminar Room 1, Newton Institute.

ClockThursday 18 January 2018, 09:00-09:45

Isaac Newton Institute Seminar Series

Adaptive estimation of functionals under sparsity

STSW01 - Theoretical and algorithmic underpinnings of Big Data

UserAlexandre Tsybakov (CREST: Centre de Recherche en Économie et Statistique; Université Pierre & Marie Curie-Paris VI ).

HouseSeminar Room 1, Newton Institute.

ClockThursday 18 January 2018, 09:45-10:30

Isaac Newton Institute Seminar Series

On the gap between local recovery guarantees in structured compressed sensing and oracle estimates

STSW01 - Theoretical and algorithmic underpinnings of Big Data

UserClaire Boyer (Université Pierre et Marie Curie Paris).

HouseSeminar Room 1, Newton Institute.

ClockThursday 18 January 2018, 11:00-11:45

Isaac Newton Institute Seminar Series

Small Big Data: Temporal structure in discrete time series

STSW01 - Theoretical and algorithmic underpinnings of Big Data

UserIoannis Kontoyiannis (University of Cambridge; Athens University of Economics and Business).

HouseSeminar Room 1, Newton Institute.

ClockThursday 18 January 2018, 11:45-12:30

Isaac Newton Institute Seminar Series

Asymptotics for ABC algorithms

STSW01 - Theoretical and algorithmic underpinnings of Big Data

UserJudith Rousseau (University of Oxford; Université Paris-Dauphine).

HouseSeminar Room 1, Newton Institute.

ClockThursday 18 January 2018, 14:00-14:45

Isaac Newton Institute Seminar Series

Sharp oracle inequalities for stationary points of nonconvex penalised M-estimators

STSW01 - Theoretical and algorithmic underpinnings of Big Data

UserAndreas Elsener (ETH Zürich).

HouseSeminar Room 1, Newton Institute.

ClockThursday 18 January 2018, 14:45-15:30

Isaac Newton Institute Seminar Series

The xyz algorithm for fast interaction search in high-dimensional data

STSW01 - Theoretical and algorithmic underpinnings of Big Data

UserRajen Shah (University of Cambridge).

HouseSeminar Room 1, Newton Institute.

ClockThursday 18 January 2018, 16:00-16:45

Isaac Newton Institute Seminar Series

Falkon: fast and optimal kernel method for large scale machine learning

STSW01 - Theoretical and algorithmic underpinnings of Big Data

UserAlessandro Rudi (INRIA; ENS - Paris).

HouseSeminar Room 1, Newton Institute.

ClockFriday 19 January 2018, 09:00-09:45

Isaac Newton Institute Seminar Series

Learning determinantal point processes

STSW01 - Theoretical and algorithmic underpinnings of Big Data

UserPhilippe Rigollet (Massachusetts Institute of Technology).

HouseSeminar Room 1, Newton Institute.

ClockFriday 19 January 2018, 09:45-10:30

Isaac Newton Institute Seminar Series

An optimal unrestricted learning procedure

STSW01 - Theoretical and algorithmic underpinnings of Big Data

UserShahar Mendelson (Technion - Israel Institute of Technology; Australian National University).

HouseSeminar Room 1, Newton Institute.

ClockFriday 19 January 2018, 11:00-11:45

Isaac Newton Institute Seminar Series

Variable selection and classification with large-scale presence only data

STSW01 - Theoretical and algorithmic underpinnings of Big Data

UserGarvesh Raskutti (University of Wisconsin-Madison).

HouseSeminar Room 1, Newton Institute.

ClockFriday 19 January 2018, 11:45-12:30

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