19. Anytime-Valid Continuous-Time Inference for Inhomogeneous Poisson Point Processes
- Michael Lindon (Netflix), Nathan Kallus (Netflix, Cornell)
20. Unifying DiD Estimators and TWFE Regression via Network Flows for Arbitrary Treatment Patterns and Heterogeneous Effects
- Yudong Chen (University of Wisconsin-Madison), Calvin Tolbert (Cornell), Xumei Xi (Cornell), Christina Lee Yu (Cornell)
21. Bayesian updating and information cascades experiments using ChatGPT instances: a discussion of language models as subjects.
- Fabrice Le Guel (University of Paris-Saclay, France, RITM Research Center)
22. A Simple Solution to Improving Human Supervision of Algorithms: Evidence from Smart Vending
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- Minda Zhao (Gatech), Brian Han (UIUC), Xin Chen (Gatech), Tao Zhu (Fengyi Technology Co., Ltd.)
23. Outlier Impact: Detection by Consequences
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- Daniel Ting (Meta), Ilya Gorbachev (Meta), Sammy Shen (Meta)
24. When Do Adaptive Experiments Help Participants *and* Accelerate Discovery? Insights From Winning XPrize for Experimentation
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- Joseph Jay Williams (University of Toronto), Nina Deliu (Sapienza Università di Roma), Sofia Villar (University of Cambridge), Laura Hawkins (University of Toronto), Jay Olson (University of Toronto), Mohi Reza (University of Toronto), Ilya Musabirov (University of Toronto), Tong Li (University of Toronto)
25. Difference-in-Differences Subset Scan
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- Will Stamey (University of Notre Dame), Sriram Somanchi (University of Notre Dame), Edward McFowland III (Harvard)
26. Combining Observational and Experimental Causal Estimators to Boost Precision
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- Yanping Pei (Worcester Polytechnic Institute), Adam Sales (Worcester Polytechnic Institute)
27. Meta-Encouragement: Estimating incremental value of newly launched business verticals by condensing 100s of business-as-usual encouragement design experiments
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- Nadia Tomova (Booking.com), Nils Skotara (Booking.com), Anirudh Tomer (Booking.com), Wally Toh (Booking.com)
28. When Carryover Meets Spillover: Incrementality Measurement in Multi-channel Marketing
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- Zhengrong Gu (Boston University), Garrett Johnson (Boston University), Ziwei Liao (Wayfair), Jerry Chen (Wayfair)
29. Developer Productivity and Cloud Emissions
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- Alibek Korganbekov (Boston University), Malika Korganbekova (The University of Chicago)
30. Weighted Regression with Sybil Networks
31. Causal Feature Selection Method for Contextual Multi-Armed Bandits
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- Zhenyu Zhao (Roblox), Yexi Jiang (Roblox)
32. Measuring Experimentation Platform Improvements with Relative Efficiency
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- Daniel Ting (Meta), Kenneth Hung (Meta), Artem Vorozhtsov (Meta)
33. AI-Enhanced Task Performance: An Experimental Study on Collaborative Work
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- Tamilla Triantoro (Quinnipiac University), Aleksandra Przegalinska (Harvard, Kozminski University), Leon Ciechanowski (MIT, Kozminski University), Anna Kovbasiuk (Kozminski University), Richard B. Freeman (Harvard University), Konrad Sowa (Kozminski University)
34. Observing the Unobservable: Leveraging Proxy Potential Outcomes from A/B Tests for More Precise Causal Inference
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- Michael Valancius (University of North Carolina), Vinod Bakthavachalam (Netflix), Yinghong Lan (Netflix)
35. WAPTS: A Weighted Allocation Probability Adjusted Thompson Sampling Algorithm for High-Dimensional and Sparse Experiment Settings
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- Haochen Song (University of Toronto); Ilya Musabirov (University of Toronto); Ananya Bhattacharjee (University of Toronto); Audrey Durand (Laval University); Meredith Franklin (University of Toronto); Joseph Jay Williams (University of Toronto)