Vidhi Lalchand

According to our database, Vidhi Lalchand authored at least 14 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Dimensionality Reduction as Probabilistic Inference.

Aditya Ravuri, Francisco Vargas, Vidhi Lalchand, Neil D. Lawrence

CoRR, 2023

2022

Achieving robustness to aleatoric uncertainty with heteroscedastic Bayesian optimisation.

Ryan-Rhys Griffiths, Alexander A. Aldrick, Miguel Garcia-Ortegon, Vidhi Lalchand, Alpha A. Lee

Mach. Learn. Sci. Technol., 2022

Kernel Learning for Explainable Climate Science.

Vidhi Lalchand, Kenza Tazi, Talay M. Cheema, Richard E. Turner, J. Scott Hosking

CoRR, 2022

Generalised Gaussian Process Latent Variable Models (GPLVM) with Stochastic Variational Inference.

Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence

CoRR, 2022

Sparse Gaussian Process Hyperparameters: Optimize or Integrate?

Vidhi Lalchand, Wessel P. Bruinsma, David R. Burt, Carl Edward Rasmussen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Modelling Technical and Biological Effects in scRNA-seq data with Scalable GPLVMs.

Vidhi Lalchand, Aditya Ravuri, Emma Dann, Natsuhiko Kumasaka, Dinithi Sumanaweera, Rik G. H. Lindeboom, Shaista Madad, Sarah A. Teichmann, Neil D. Lawrence

Proceedings of the Machine Learning in Computational Biology, 21-22 November 2022, Online, 2022

Generalised GPLVM with Stochastic Variational Inference.

Vidhi Lalchand, Aditya Ravuri, Neil D. Lawrence

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Marginalised Gaussian Processes with Nested Sampling.

Fergus Simpson, Vidhi Lalchand, Carl Edward Rasmussen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Kernel Identification Through Transformers.

Fergus Simpson, Ian Davies, Vidhi Lalchand, Alessandro Vullo, Nicolas Durrande, Carl Edward Rasmussen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

A meta-algorithm for classification using random recursive tree ensembles: A high energy physics application.

Vidhi Lalchand

CoRR, 2020

Extracting more from boosted decision trees: A high energy physics case study.

Vidhi Lalchand

CoRR, 2020

2019

Approximate Inference for Fully Bayesian Gaussian Process Regression.

Vidhi Lalchand, Carl Edward Rasmussen

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018

A Greedy approximation scheme for Sparse Gaussian process regression.

Vidhi Lalchand, A. C. Faul

CoRR, 2018

2013

Algorithmic trading review.

Philip C. Treleaven, Michal Galas, Vidhi Lalchand

Commun. ACM, 2013