4 citations · 8 across the 4 of their papers we have counts for
4 papers
A Self-Improving Coding Agent
Maxime Robeyns, Martin Szummer, Laurence Aitchison
Recent advancements in Large Language Models (LLMs) have spurred interest in deploying LLM agents to undertake tasks in the world. LLMs are often deployed in agent systems: code th…
Balance Regularized Neural Network Models for Causal Effect Estimation
Mehrdad Farajtabar, Andrew Lee, Yuanjian Feng +4
Estimating individual and average treatment effects from observational data is an important problem in many domains such as healthcare and e-commerce. In this paper, we advocate ba…
Amortized learning of neural causal representations
Nan Rosemary Ke, Jane. X. Wang, Jovana Mitrovic +2
Causal models can compactly and efficiently encode the data-generating process under all interventions and hence may generalize better under changes in distribution. These models a…
Markov Random Walk Representations with Continuous Distributions
Chen-Hsiang Yeang, Martin Szummer
Representations based on random walks can exploit discrete data distributions for clustering and classification. We extend such representations from discrete to continuous distribu…