Stephen Roberts

28 papers A* 1A 1B 1Misc 1Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Prediction-Oriented Subsampling from Data Streams. CoRR Benedetta Lavinia Mussati, Freddie Bickford Smith, Tom Rainforth, Stephen Roberts
2024	—	`conf`	Deep Learning for Options Trading: An End-To-End Approach. ICAIF Wee Ling Tan, Stephen Roberts, Stefan Zohren
2024	J	`jnl`	Iterate Averaging in the Quest for Best Test Error. J. Mach. Learn. Res. Diego Granziol, Nicholas P. Baskerville, Xingchen Wan, Samuel Albanie, Stephen Roberts
2023	J	`jnl`	Guidelines for building a realistic algorithmic trading market simulator for backtesting while incorporating market impact: Agent-Based Strategies in Neural Network Format, Ecosystem Dynamics & Detection. Algorithmic Finance Babak Mahdavi-Damghani, Stephen Roberts
2023	J	`jnl`	The instabilities of large learning rate training: a loss landscape view. CoRR Lawrence Wang, Stephen Roberts
2022	J	`jnl`	Adversarial Robustness Guarantees for Gaussian Processes. J. Mach. Learn. Res. Andrea Patane, Arno Blaas, Luca Laurenti, Luca Cardelli, Stephen Roberts, Marta Kwiatkowska
2022	A*	`conf`	Learning General World Models in a Handful of Reward-Free Deployments. NeurIPS Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen Roberts, Tim Rocktäschel, Edward Grefenstette
2022	J	`jnl`	Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training. J. Mach. Learn. Res. Diego Granziol, Stefan Zohren, Stephen Roberts
2021	J	`jnl`	A Bayesian Optimization Approach to Compute Nash Equilibrium of Potential Games Using Bandit Feedback. Comput. J. Anup Aprem, Stephen Roberts
2021	A	`conf`	Towards tractable optimism in model-based reinforcement learning. UAI Aldo Pacchiano, Philip J. Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts
2020	—	`conf`	An Overview of Gaussian process Regression for Volatility Forecasting. ICAIIC Bingqing Liu, Ivan Kiskin, Stephen Roberts
2020	J	`jnl`	Deep Learning for Portfolio Optimisation. CoRR Zihao Zhang, Stefan Zohren, Stephen Roberts
2020	J	`jnl`	Detecting Changes in Asset Co-Movement Using the Autoencoder Reconstruction Ratio. CoRR Bryan Lim, Stefan Zohren, Stephen Roberts
2020	J	`jnl`	Effective Diversity in Population-Based Reinforcement Learning. CoRR Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts
2020	J	`jnl`	HumBug Zooniverse: a crowd-sourced acoustic mosquito dataset. CoRR Ivan Kiskin, Adam D. Cobb, Lawrence Wang, Stephen Roberts
2020	Misc	`conf`	Humbug Zooniverse: A Crowd-Sourced Acoustic Mosquito Dataset. ICASSP Ivan Kiskin, Adam D. Cobb, Lawrence Wang, Stephen Roberts
2020	J	`jnl`	Iterate Averaging Helps: An Alternative Perspective in Deep Learning. CoRR Diego Granziol, Xingchen Wan, Stephen Roberts
2020	J	`jnl`	Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN). CoRR Jaleh Zand, Stephen Roberts
2020	J	`jnl`	On Optimism in Model-Based Reinforcement Learning. CoRR Aldo Pacchiano, Philip J. Ball, Jack Parker-Holder, Krzysztof Choromanski, Stephen Roberts
2020	J	`jnl`	One-Shot Bayes Opt with Probabilistic Population Based Training. CoRR Jack Parker-Holder, Vu Nguyen, Stephen Roberts
2020	J	`jnl`	Portfolio optimization for cointelated pairs: SDEs vs Machine learning. Algorithmic Finance Babak Mahdavi-Damghani, Konul Mustafayeva, Cristin Buescu, Stephen Roberts
2020	J	`jnl`	Ready Policy One: World Building Through Active Learning. CoRR Philip J. Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts
2020	B	`conf`	Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series Prediction. IJCNN Bryan Lim, Stefan Zohren, Stephen Roberts
2020	J	`jnl`	Thresholded ConvNet ensembles: neural networks for technical forecasting. Neural Comput. Appl. Sid Ghoshal, Stephen Roberts
2020	J	`jnl`	VIGN: Variational Integrator Graph Networks. CoRR Shaan Desai, Stephen Roberts
2019	J	`jnl`	Indian Buffet Neural Networks for Continual Learning. CoRR Samuel Kessler, Vu Nguyen, Stefan Zohren, Stephen Roberts
2019	J	`jnl`	MLRG Deep Curvature. CoRR Diego Granziol, Xingchen Wan, Timur Garipov, Dmitry P. Vetrov, Stephen Roberts
2007	—	`conf`	An Iterative Signal Detection Algorithm Based on Bayesian Belief Propagation Ideas. DSP Ian K. Proudler, Stephen Roberts, Steven Reece, Iead Rezek