Search Results - "Deng, Alex"

On randomization-based causal inference for matched-pair factorial designs by Lu, Jiannan, Deng, Alex

“…Under the potential outcomes framework, we introduce matched-pair factorial designs, and propose the matched-pair estimator of the factorial effects. We also…”
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Demystifying the bias from selective inference: A revisit to Dawid’s treatment selection problem by Lu, Jiannan, Deng, Alex

“…We extend the heuristic discussion in Senn (2008) on the bias from selective inference for the treatment selection problem (Dawid, 1994), by deriving the…”
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Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology by Larsen, Nicholas, Stallrich, Jonathan, Sengupta, Srijan, Deng, Alex, Kohavi, Ron, Stevens, Nathaniel T.

“…The rise of internet-based services and products in the late 1990s brought about an unprecedented opportunity for online businesses to engage in large scale…”
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A note on Type S/M errors in hypothesis testing by Lu, Jiannan, Qiu, Yixuan, Deng, Alex

“…Motivated by the recent replication and reproducibility crisis, Gelman and Carlin (2014, Perspect. Psychol. Sci., 9, 641) advocated focusing on controlling for…”
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Collaborative Systems Thinking Culture: A Path to Success for Complex Projects by Bouyaud, Mickael, Davila‐Rendon, Natalie, Deng, Alex, Duprez, Jean, Fraga, Anabel, John, Leema, Noguchi, Ryan, Palmer, Erika, Patel, Jay, Romero, Maria, Wolfgang, Raymond, Wozniak, Michael

“…ABSTRACT The world is filled with hard and complex problems, oftentimes requiring involved solutions. In large organizations attempting to solve these types of…”
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Collaborative Systems Thinking Culture: A Path to Success for Complex Projects by Bouyaud, Mickael, Davila‐Rendon, Natalie, Deng, Alex, Duprez, Jean, Fraga, Anabel, John, Leema, Noguchi, Ryan, Palmer, Erika, Patel, Jay, Romero, Maria, Wolfgang, Raymond, Wozniak, Michael

“…The world is filled with hard and complex problems, oftentimes requiring involved solutions. In large organizations attempting to solve these types of…”
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Empirical Bayes Estimation of Treatment Effects with Many A/B Tests: An Overview by Azevedo, Eduardo M., Deng, Alex, Olea, José L. Montiel, Weyl, E. Glen

“…The use of large-scale experimentation to screen product innovations is increasingly common. This is a practical guide on how to use treatment effect estimates…”
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Continuous Monitoring of A/B Tests without Pain: Optional Stopping in Bayesian Testing by Deng, Alex, Jiannan Lu, Shouyuan Chen

“…A/B testing is one of the most successful applications of statistical theory in the Internet age. A crucial problem of Null Hypothesis Statistical Testing…”
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Continuous Attribution of Episodical Outcomes for More Efficient and Targeted Online Measurement by Deng, Alex, Du, Michelle, Matlin, Anna

“…Online experimentation platforms collect user feedback at low cost and large scale. Some systems even support real-time or near real-time data processing, and…”
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The equivalence of the Delta method and the cluster-robust variance estimator for the analysis of clustered randomized experiments by Deng, Alex, Lu, Jiannan, Qin, Wen

“…It often happens that the same problem presents itself to different communities and the solutions proposed or adopted by those communities are different. We…”
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SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection by Hu, Mengya, Xu, Rui, Lei, Deren, Li, Yaxi, Wang, Mingyu, Ching, Emily, Kamal, Eslam, Deng, Alex

“…Large language models (LLMs) are highly capable but face latency challenges in real-time applications, such as conducting online hallucination detection. To…”
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InvisMark: Invisible and Robust Watermarking for AI-generated Image Provenance by Xu, Rui, Hu, Mengya, Lei, Deren, Li, Yaxi, Lowe, David, Gorevski, Alex, Wang, Mingyu, Ching, Emily, Deng, Alex

“…The proliferation of AI-generated images has intensified the need for robust content authentication methods. We present InvisMark, a novel watermarking…”
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Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning by Davis, Dillon, Gao, Huiji, Legrand, Thomas, Guo, Weiwei, Haldar, Malay, Deng, Alex, Zhao, Han, He, Liwei, Katariya, Sanjeev

“…Conference on Information and Knowledge Management 1 (2024) 4454-4461 The Airbnb search system grapples with many unique challenges as it continues to evolve…”
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From Augmentation to Decomposition: A New Look at CUPED in 2023 by Deng, Alex, Hagar, Luke, Stevens, Nathaniel, Xifara, Tatiana, Yuan, Lo-Hua, Gandhi, Amit

“…Ten years ago, CUPED (Controlled Experiments Utilizing Pre-Experiment Data) mainstreamed the idea of variance reduction leveraging pre-experiment covariates…”
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Zero to Hero: Exploiting Null Effects to Achieve Variance Reduction in Experiments with One-sided Triggering by Deng, Alex, Yuan, Lo-Hua, Kanai, Naoya, Salama-Manteau, Alexandre

“…In online experiments where the intervention is only exposed, or "triggered", for a small subset of the population, it is critical to use variance reduction…”
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On randomization-based causal inference for matched-pair factorial designs by Lu, Jiannan, Deng, Alex

“…Under the potential outcomes framework, we introduce matched-pair factorial designs, and propose the matched-pair estimator of the factorial effects. We also…”
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On Post-Selection Inference in A/B Tests by Deng, Alex, Li, Yicheng, Lu, Jiannan, Ramamurthy, Vivek

“…When interpreting A/B tests, we typically focus only on the statistically significant results and take them by face value. This practice, termed post-selection…”
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Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology by Larsen, Nicholas, Stallrich, Jonathan, Sengupta, Srijan, Deng, Alex, Kohavi, Ron, Stevens, Nathaniel

“…The rise of internet-based services and products in the late 1990's brought about an unprecedented opportunity for online businesses to engage in large scale…”
Get full text

Demystifying the Bias from Selective Inference: a Revisit to Dawid's Treatment Selection Problem by Lu, Jiannan, Deng, Alex

“…We extend the heuristic discussion in Senn (2008) on the bias from selective inference for the treatment selection problem (Dawid 1994), by deriving the…”
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Flexible Online Repeated Measures Experiment by Guo, Yu, Deng, Alex

“…Online controlled experiments, now commonly known as A/B testing, are crucial to causal inference and data driven decision making in many internet based…”
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