What Sketch Explainability Really Means for Downstream Tasks?
H Bandyopadhyay, PN Chowdhury… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this paper we explore the unique modality of sketch for explainability emphasising the
profound impact of human strokes compared to conventional pixel-oriented studies. Beyond …
profound impact of human strokes compared to conventional pixel-oriented studies. Beyond …
Positivity-free policy learning with observational data
Policy learning utilizing observational data is pivotal across various domains, with the
objective of learning the optimal treatment assignment policy while adhering to specific …
objective of learning the optimal treatment assignment policy while adhering to specific …
Individualized Policy Evaluation and Learning under Clustered Network Interference
While there now exists a large literature on policy evaluation and learning, much of prior
work assumes that the treatment assignment of one unit does not affect the outcome of …
work assumes that the treatment assignment of one unit does not affect the outcome of …
The Cram Method for Efficient Simultaneous Learning and Evaluation
We introduce the" cram" method, a general and efficient approach to simultaneous learning
and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched …
and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched …
Topics in causal inférence and policy learning with applications to precision medicine
P Zhao - 2024 - theses.hal.science
Causality is a fundamental concept in science and philosophy, and with the increasing
complexity of data collection and structure, statistics plays a pivotal role in inferring causes …
complexity of data collection and structure, statistics plays a pivotal role in inferring causes …