Algorithms for Causal Reasoning in Probability Trees
DSA ADS Course - 2021
Algorithms for Causal Reasoning in Probability Trees
Causality, Algorithms, Causal Reasoning, Probability Trees, Machine Learning
October, 2020
Abstract
DSA ADS Course - 2021
Algorithms for Causal Reasoning in Probability Trees
Causality, Algorithms, Causal Reasoning, Probability Trees, Machine Learning
October, 2020
Abstract
DSA ADS Course - 2021
Unit Selection, Counterfactual Logic, A/B Testing, Statistical Analysis, Machine Learning
Discuss counterfactual logic in developing Recommender-type systems, A/B testing and machine learning.
Unit Selection Based on Counterfactual Logic - July, 2019
Abstract
March, 2023
Abstract
We present the largest and most comprehensive empirical study of pre-trained visual representations (PVRs) or visual 'foundation models' for Embodied AI. First, we curate CortexBench, consisting of 17 different tasks spanning locomotion, navigation, dexterous, and mobile manipulation. Next, we systematically evaluate existing PVRs and find that none are universally dominant.
DSA ADS Course - 2021
July, 2021
Abstract
February 2023
Abstract
October, 2022
Abstract