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counterfactual learning

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DataFunTalk
DataFunTalk
Jun 1, 2023 · Artificial Intelligence

Counterfactual Causal Inference for Credit‑Limit Modeling (Mono‑CFR)

This article presents a comprehensive overview of causal inference paradigms, the evolution of uplift and representation‑learning frameworks, and introduces the Mono‑CFR counterfactual credit‑limit model that estimates treatment effects for continuous credit limits using observational data while addressing confounding factors.

AIcausal inferencecounterfactual learning
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Counterfactual Causal Inference for Credit‑Limit Modeling (Mono‑CFR)
AntTech
AntTech
Feb 13, 2020 · Artificial Intelligence

Ant Group’s Six AI Papers Presented at AAAI 2020

At AAAI 2020, Ant Group showcased six peer‑reviewed papers covering dynamic network pruning, pruning without pre‑training, video‑based auto‑insurance damage assessment, long‑short‑term sample distillation, a span‑based neural buffer for long‑range context, and cost‑effective counterfactual incentive allocation, highlighting the company’s active research in artificial intelligence.

AAAI 2020Ant GroupNetwork Pruning
0 likes · 10 min read
Ant Group’s Six AI Papers Presented at AAAI 2020