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Richard Nock

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My interests cover Machine Learning, Privacy, Information Geometry at large. I am Associate Editor of Springer's Information Geometry journal, Area Chair for ICLR 2021, NeurIPS 2020. I was Area Chair for ICML 2020, 2019, AISTATS 2019 and NeurIPS 2019, and a Local Chair of ICML 2017.

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Boosted and Differentially Private Ensembles of Decision Trees

Nock Richard, Henecka Wilko

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Data Preprocessing to Mitigate Bias with Boosted Fair Mollifiers

Alexander Soen,Hisham Husain,Richard Nock

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Adversarial vulnerabilities of human decision-making

Amir Dezfouli,Richard Nock,Peter Dayan

Proceedings of the National Academy of Sciences of the United States of America, no. 46 (2020): 29221-29228

WOSBibtex

Supervised Learning: No Loss No Cry

Nock Richard,Menon Aditya Krishna

ICML, pp.7370-7380, (2020)

EIBibtex

Generalised Lipschitz Regularisation Equals Distributional Robustness

Cranko Zac, Shi Zhan,Zhang Xinhua,Nock Richard,Kornblith Simon

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Cumulant-free closed-form formulas for some common (dis)similarities between densities of an exponential family

Nielsen Frank,Nock Richard

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Adversarial manipulation of human decision-making

Amir Dezfouli,Richard Nock,Peter Dayan

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The phylogenetic tree of boosting has a bushy carriage but a single trunk

Richard Nock,Frank Nielsen

Proceedings of the National Academy of Sciences of the United States of America, (2020)

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Neural Network Poisson Models for Behavioural and Neural Spike Train Data

Amir Dezfouli,Richard Nock, Ehsan Arabzadeh,Peter Dayan

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All your loss are belong to Bayes

Walder Christian,Nock Richard

NIPS 2020, (2020)

EIBibtex

A Geometric Clustering Tool (AGCT) to robustly unravel the inner cluster structures of time-series gene expressions

Richard Nock,Natalia Polouliakh,Frank Nielsen, Keigo Oka, Carlin R Connell, Cedric Heimhofer, Kazuhiro Shibanai,Samik Ghosh, Ken-Ichi Aisaki,Satoshi Kitajima,Jun Kanno, Taketo Akama

PloS one, no. 7 (2020)

WOSBibtex

Local Differential Privacy for Sampling

Hisham Husain,Borja Balle, Zac Cranko,Richard Nock

AISTATS, pp.3404-3413, (2020)

EIBibtex

On Modulating the Gradient for Meta-learning

Christian Simon,Piotr Koniusz,Richard Nock,Mehrtash Harandi

european conference on computer vision, pp.556-572, (2020)

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A Primal-Dual link between GANs and Autoencoders

Hisham Husain,Richard Nock,Robert Williamson

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 413-422

Cited by3EIBibtex

The Bregman chord divergence

Frank Nielsen,Richard Nock

GSI, (2019): 299-308

EIBibtex

Monge blunts Bayes: Hardness Results for Adversarial Training

Zac Cranko,Aditya Krishna Menon,Richard Nock,Cheng Soon Ong, Zhan Shi, Christian J. Walder

international conference on machine learning, pp.1406-1415, (2019)

Cited by7Bibtex

Non-Euclidean Embeddings for Graph Analytics and Visualisation

Daniel Filonik, Tian Feng, Ke Sun,Richard Nock, Alex Collins,Tomasz Bednarz

SIGGRAPH Asia 2019 Posters, pp.47, (2019)

EIBibtex

Adversarial Networks and Autoencoders: The Primal-Dual Relationship and Generalization Bounds

Hisham Husain,Richard Nock,Robert C. Williamson

arXiv: Machine Learning, (2019)

Cited by3EIBibtex

Disentangled behavioral representations

Amir Dezfouli, Hassan Ashtiani, Omar Ghattas,Richard Nock,Peter Dayan,Cheng Soon Ong

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 1-18

Bibtex

Disentangled behavioural representations

Amir Dezfouli, Hassan Ashtiani, Omar Ghattas,Richard Nock, Peter Dayan, Cheng Soon Ong

NeurIPS, pp.2251-2260, (2019)

Cited by2EIBibtex

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