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researcher

V. Lalchand

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML4

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedExtracting more from boosted decision trees: A high energy physics case study

5 citations · 5 across the 2 of their papers we have counts for

collaborators

4 papers

stat.ML2020

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

Vidhi Lalchand

The aim of this work is to propose a meta-algorithm for automatic classification in the presence of discrete binary classes. Classifier learning in the presence of overlapping clas…

stat.ML2020★ 5 cited

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

Vidhi Lalchand

Particle identification is one of the core tasks in the data analysis pipeline at the Large Hadron Collider (LHC). Statistically, this entails the identification of rare signal eve…

stat.ML2019

Approximate Inference for Fully Bayesian Gaussian Process Regression

Vidhi Lalchand, Carl Edward Rasmussen

Learning in Gaussian Process models occurs through the adaptation of hyperparameters of the mean and the covariance function. The classical approach entails maximizing the marginal…

stat.ML2018

A Fast and Greedy Subset-of-Data (SoD) Scheme for Sparsification in Gaussian processes

Vidhi Lalchand, A. C. Faul

In their standard form Gaussian processes (GPs) provide a powerful non-parametric framework for regression and classificaton tasks. Their one limiting property is their $\mathcal{O…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.