Richard E. Turner
Affiliations:- University of Cambridge, Department of Engineering, UK
According to our database1,
Richard E. Turner
authored at least 129 papers
between 2007 and 2024.
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Bibliography
2024
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective.
CoRR, 2024
2023
Trans. Mach. Learn. Res., 2023
Structured Inverse-Free Natural Gradient: Memory-Efficient & Numerically-Stable KFAC for Large Neural Nets.
CoRR, 2023
Proceedings of the Trustworthy Machine Learning for Healthcare, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation.
Proceedings of the Conference on Lifelong Learning Agents, 2023
2022
Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Adversarial Attacks are a Surprisingly Strong Baseline for Poisoning Few-Shot Meta-Learners.
Proceedings of the Proceedings on "I Can't Believe It's Not Better!, 2022
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Proceedings of the Conference on Lifelong Learning Agents, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Combining pseudo-point and state space approximations for sum-separable Gaussian Processes.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Results and Insights from Diagnostic Questions: The NeurIPS 2020 Education Challenge.
Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
STRFs in primary auditory cortex emerge from masking-based statistics of natural sounds.
PLoS Comput. Biol., 2019
Pathologies of Factorised Gaussian and MC Dropout Posteriors in Bayesian Neural Networks.
CoRR, 2019
Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model.
CoRR, 2019
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019
2018
Partitioned Variational Inference: A unified framework encompassing federated and continual learning.
CoRR, 2018
Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks.
CoRR, 2018
Decision-Theoretic Meta-Learning: Versatile and Efficient Amortization of Few-Shot Learning.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation.
J. Mach. Learn. Res., 2017
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control.
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
A Unifying Framework for Sparse Gaussian Process Approximation using Power Expectation Propagation.
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
J. Cheminformatics, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
IEEE Trans. Signal Process., 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
2012
Decomposing signals into a sum of amplitude and frequency modulated sinusoids using probabilistic inference.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
IEEE ACM Trans. Audio Speech Lang. Process., 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Spoken Nursery Rhymes Have a Fractal Rhythmic Structure - Evidence from Patterns of Slow Amplitude Modulation (AM).
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011
2010
Statistical inference for single- and multi-band Probabilistic Amplitude Demodulation.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
PLoS Comput. Biol., 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007