Past Editions / 2024
CDSM 2024.
Keynote
Susan AtheyStanford University
November 5, 2024
Day 01 / Online
Causal Inference in Industry (Working)
DISCO: constrained bandits for personalized discount targeting within fashion e-commerce
Structural Causal Models in Strategic Decision-Making
Causal Targeting for Mobile Push Notifications
Accelerating Experimentation: Bayesian Sequential A/B Testing’s Role in the Tech Industry
Causal Inference Tools to Assess the Impact of Marketing and Advertising Initiatives on Key Business Metrics at Bolt
Bridging Causal Discovery and Media Mix Modeling
Causal Claims in Economics
Fifty Shades of Greenwashing: The Political Economy of Climate Change Advertising on Social Media
Assessing the Heterogeneous Impact of Economy-Wide Shocks
Credit Ratings: Heterogeneous Effect on Capital Structure
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges
A Probabilistic Easy Variational Approach to Causal Inference in Complex Datasets
Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
dagrad: A Python Library for Gradient-Based Causal DAG Learning
Spillover Reduction Using Cluster-Randomized Experiments: Empirical Evidence and Learnings from Online Gaming Platform Roblox
Causal Neuro-Symbolic AI: A Synergy Between Causality and Neuro-Symbolic Methods
Batched Adaptive Team Formation
Causal Framework for Building Resilient Supply Chains
Towards Causal LLM Agents: Causal Reasoning in LLMs
Mining Causality: AI-Assisted Search for Instrumental Variables
Understanding Problems of Place Through Data: Spatial Causal Inference in Public Administration Research
Causal Discovery for Product Analytics
Keynote
November 6, 2024
Day 02 / Online
Using Causal Machine Learning to Optimize Social Welfare Policies in Kazakhstan: A Case Study on Cash Transfers and Child-Related Outcomes
Identifying Successful Interventions Through Break Detection: A New Machine Learning Approach for Generating Hypotheses
Conflict in a Warming World: How Climate Shocks Impact Rebel Demands and Peace Agreement Outcomes
The Heterogeneous Effects of Active Labour Market Policies in Switzerland
Mostly Harmless Fixed Effects Regression in Python via PyFixest
Bringing Light to the Threshold: Evaluation of Production Policies Using the Regression Discontinuity Design with Application to LED Manufacturing
Causal Machine Learning with Counterfactual Prediction: The User’s Guide
A Joint Test of Unconfoundedness and Common Trends
Testing Identification in Mediation and Dynamic Treatment Models
Learning Control Variables and Instruments for Causal Analysis in Observational Data
Manipulation Tests in Regression Discontinuity Design: The Need for Equivalence Testing
Arguing for Covariate Balance
NovoGraphs: A Benchmark for Evaluating the Generalizability of LLM-Based Graph Discovery
The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective
Teaching Transformers Causal Reasoning Through Axiomatic Training
Implicit Personalization in Language Models: A Systematic Study
Industry Roundtable
Leveraging a Natural Experiment to Estimate the Impact of Customer Satisfaction in Contact Centers
Regression Adjustments for Experimental Designs in Two-Sided Marketplaces
Data Leakage in Recommendation System A/B Tests
Large Scale Longitudinal Experiments: Estimation and Inference
Causal Bandits Live Podcast: From Quantum Physics to Causal AI at Spotify
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