Vidhi Lalchand
Title
Cited by
Cited by
Year
Algorithmic trading review
P Treleaven, M Galas, V Lalchand
Communications of the ACM 56 (11), 76-85, 2013
1152013
Approximate Inference for Fully Bayesian Gaussian Process Regression
V Lalchand, CE Rasmussen
2nd Symposium on Advances in Approximate Bayesian Inference (NeurIPS 2019), 2019
112019
Physics-informed Gaussian process for online optimization of particle accelerators
A Hanuka, X Huang, J Shtalenkova, D Kennedy, A Edelen, VR Lalchand, ...
Physical Review Accelerators and Beams 24 (7), 2020
52020
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation
RR Griffiths, M Garcia-Ortegon, AA Aldrick, V Lalchand, AA Lee
Machine Learning: Science and Technology, 2021, 2019
52019
Physics model-informed Gaussian process for online optimization of particle accelerators
A Hanuka, X Huang, J Shtalenkova, D Kennedy, A Edelen, Z Zhang, ...
Physical Review Accelerators and Beams 24 (7), 072802, 2021
32021
Marginalised Gaussian Processes with Nested Sampling
F Simpson, V Lalchand, CE Rasmussen
Advances in Neural Information Processing Systems (NeurIPS, 2021) 34, 2021
22021
Extracting more from boosted decision trees: A high energy physics case study
V Lalchand
Second Workshop on Machine Learning and the Physical Sciences (NeurIPS 2019 …, 2019
22019
Kernel Identification Through Transformers
F Simpson, I Davies, V Lalchand, A Vullo, N Durrande, C Rasmussen
Advances in Neural Information Processing Systems (NeurIPS, 2021) 34, 2021
12021
A Fast and Greedy Subset-of-Data (SoD) Scheme for Sparsification in Gaussian processes
V Lalchand, AC Faul
38th International Workshop on Bayesian Inference and Maximum Entropy …, 2018
12018
The magazine archive includes every article published in Communications of the ACM for over the past 50 years.
P Treleaven, M Galas, V Lalchand
Communications of the ACM 56 (11), 76-85, 2013
12013
Gaussian Process Latent Variable Flows for Massively Missing Data
V Lalchand, A Ravuri, ND Lawrence
3rd Symposium on Advances in Approximate Bayesian Inference (AABI, 2020), 2020
2020
Marginalised Spectral Mixture Kernels with Nested Sampling
F Simpson, V Lalchand, CE Rasmussen
3rd Symposium on Advances in Approximate Bayesian Inference (AABI, 2020), 2020
2020
A meta-algorithm for classification using random recursive tree ensembles: A high energy physics application
V Lalchand
http://inspirehep.net/record/1776757, 2016
2016
The system can't perform the operation now. Try again later.
Articles 1–13