On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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3 results for “CausalGANs”

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Trainingcs.LG

We propose an adversarial training procedure for learning a causal implicit generative model for a given causal graph. We show that adversarial training can be used to learn a generative model with true observational and interventional distributions if the generator architecture is consistent with the given causal grap…

2017-09-06abs ↗pdf ↗

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluationq-fin.CP

This paper uses CausalGANs and RL with LLM to predict bond yields.

problem Challenges in financial bond yield forecasting due to data scarcity and market conditions.

method Proposes a novel framework combining CausalGANs, RL, and LLM for synthetic data generation and trading signals.

result Improves forecasting performance over existing methods with low Mean Absolute Error.

bond yield forecasting CausalGANs reinforcement learning LLM synthetic data

2025-02-24abs ↗pdf ↗

Causal Adversarial Network for Learning Conditional and Interventional Distributionscs.LG

CAN learns conditional and interventional distributions from unlabeled data.

problem Learning conditional and interventional distributions from unlabeled data.

method CAN framework with LGN and CIGN architectures, equipped with an intervention mechanism.

result CAN generates both interventional and conditional samples without needing the causal graph.

Causal Adversarial Network Conditional Distributions Interventional Distributions Unlabeled Data GAN

2020-08-26abs ↗pdf ↗