3D Common Corruptions and Data Augmentation
Kar, O., Yeo, T., Atanov, A., Zamir, A.
CVPR 2022 (Oral)
Using 3D information to generate real-world corruptions.
Yeo, T., Kamalaruban, P., Singla, A., Merchant, A., Asselborn, T., Faucon, L., Dillenbourg, P., Cevher, V
AAAI 2019 (Oral), AMLD 2019 (Invited talk)
Finding the optimal sequence of examples to train a class of linear algorithms with applications to teaching to write and to classify.
Kamalaruban P., Devidze R., Yeo, T., Mittal T., Cevher V., Singla A.
NIPS 2018 Learning by Instruction Workshop
Finding the optimal sequence of examples to train an Inverse Reinforcement Learning agent.
PhD in Machine Learning and Computer Vision
MPhil in Machine Learning and Machine Intelligence
Thesis: Bayesian Optimization for Natural Language Processing
MSc in Financial Engineering
BSc (Hons) in Quantitative Finance
Thesis: High Order Numerical Methods for Solving PDE with Optimal Stopping Times