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Found 8 papers, 2 papers with code
Correcting for Interference in Experiments: A Case Study at Douyin
We formalize the problem of inference in such experiments as one of policy evaluation.
Markovian Interference in Experiments
We consider experiments in dynamical systems where interventions on some experimental units impact other units through a limiting constraint (such as a limited inventory).
Synthetically Controlled Bandits
This paper presents a new dynamic approach to experiment design in settings where, due to interference or other concerns, experimental units are coarse.
Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise
The problem of low-rank matrix completion with heterogeneous and sub-exponential (as opposed to homogeneous and Gaussian) noise is particularly relevant to a number of applications in modern commerce.
Learning Treatment Effects in Panels with General Intervention Patterns
The problem of causal inference with panel data is a central econometric question.
Fixing Inventory Inaccuracies At Scale
Using synthetic data and real data from a consumer goods retailer, we show that our approach provides up to a 10x cost reduction over incumbent approaches to anomaly detection.
The Limits to Learning a Diffusion Model
In a similar vein, our results imply that in the case of an SIR model, one cannot hope to predict the eventual number of infections until one is approximately two-thirds of the way to the time at which the infection rate has peaked.
Simulating large quantum circuits on a small quantum computer
The tensor network of such a circuit can be decomposed into clusters of size at most $d$ with at most $K$ qubits of inter-cluster quantum communication.
Quantum Physics
