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From Prediction to 'Intervention': True AI Marketing That Doesn't Waste Budget, Realized Through Causal Inference (Uplift Modeling)

The ML strategy of 'distributing coupons to customers with a high probability of purchase' may actually be harming company profits. Many companies have introduced machine learning and are now able to ...
note

Multiplication of Inference Alone Cannot Handle Reality: Implementing Physical Boundaries on the Horizontal Axis with Python

Before releasing AI answers into reality, monitor the moving phase transition boundaries. AI seems to get smarter the more inference is layered. Larger models, longer chains of thought, more ...
Tech Times

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
Times Higher Education

Bocconi University

Location Stratford Campus Salary £46,471 to £51,606 per annum inclusive of London Weighting Post Type Part Time Hours per Week 21.6 Post Type Permanent Closing Date Thursday 16 July 2026 Interview ...
GitHub

STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer (ICLR 2026)

We present STream3R, a novel approach to 3D reconstruction that reformulates pointmap prediction as a decoder-only Transformer problem. Existing state-of-the-art methods for multi-view reconstruction ...
GitHub

Case Study - Customer Segmentation at An Online Media Company.ipynb

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals ...