Requeima, James

15 publications

ICLR 2025 A Meta-Learning Approach to Bayesian Causal Discovery Anish Dhir, Matthew Ashman, James Requeima, Mark van der Wilk

ICML 2025 Context Is Key: A Benchmark for Forecasting with Essential Textual Information Andrew Robert Williams, Arjun Ashok, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin

NeurIPS 2025 Estimating Interventional Distributions with Uncertain Causal Graphs Through Meta-Learning Anish Dhir, Cristiana Diaconu, Valentinian Mihai Lungu, James Requeima, Richard E. Turner, Mark van der Wilk

NeurIPSW 2024 Context Is Key: A Benchmark for Forecasting with Essential Textual Information Arjun Ashok, Andrew Robert Williams, Étienne Marcotte, Valentina Zantedeschi, Jithendaraa Subramanian, Roland Riachi, James Requeima, Alexandre Lacoste, Irina Rish, Nicolas Chapados, Alexandre Drouin

NeurIPS 2024 LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language James Requeima, John Bronskill, Dami Choi, Richard E. Turner, David Duvenaud

ICMLW 2024 LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language James Requeima, John F Bronskill, Dami Choi, Richard E. Turner, David Duvenaud

ICML 2024 Translation Equivariant Transformer Neural Processes Matthew Ashman, Cristiana Diaconu, Junhyuck Kim, Lakee Sivaraya, Stratis Markou, James Requeima, Wessel P Bruinsma, Richard E. Turner

ICLR 2023 Autoregressive Conditional Neural Processes Wessel Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom Andersson, Anna Vaughan, Anthony Buonomo, Scott Hosking, Richard E Turner

ICLR 2022 Practical Conditional Neural Process via Tractable Dependent Predictions Stratis Markou, James Requeima, Wessel Bruinsma, Anna Vaughan, Richard E Turner

ICLR 2020 Convolutional Conditional Neural Processes Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner

NeurIPS 2020 Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes Andrew Foong, Wessel Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard Turner

ICML 2020 TaskNorm: Rethinking Batch Normalization for Meta-Learning John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard Turner

NeurIPS 2019 Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E Turner

AISTATS 2019 The Gaussian Process Autoregressive Regression Model (GPAR) James Requeima, William Tebbutt, Wessel Bruinsma, Richard E. Turner

ICML 2017 Parallel and Distributed Thompson Sampling for Large-Scale Accelerated Exploration of Chemical Space José Miguel Hernández-Lobato, James Requeima, Edward O. Pyzer-Knapp, Alán Aspuru-Guzik