Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Mak Simon"'
Autor:
Huling Jared D., Mak Simon
Publikováno v:
Journal of Causal Inference, Vol 12, Iss 1, Pp 727-53 (2024)
Bias in causal comparisons has a correspondence with distributional imbalance of covariates between treatment groups. Weighting strategies such as inverse propensity score weighting attempt to mitigate bias by either modeling the treatment assignment
Externí odkaz:
https://doaj.org/article/114b7c23e96e42deb18fee909ed7b683
A critical bottleneck for scientific progress is the costly nature of computer simulations for complex systems. Surrogate models provide an appealing solution: such models are trained on simulator evaluations, then used to emulate and quantify uncert
Externí odkaz:
http://arxiv.org/abs/2410.12690
Autor:
Miller, John Joshua, Mak, Simon, Sun, Benny, Narayanan, Sai Ranjeet, Yang, Suo, Sun, Zongxuan, Kim, Kenneth S., Kweon, Chol-Bum Mike
The optimization of expensive black-box simulators arises in a myriad of modern scientific and engineering applications. Bayesian optimization provides an appealing solution, by leveraging a fitted surrogate model to guide the selection of subsequent
Externí odkaz:
http://arxiv.org/abs/2410.01196
Schenkerian Analysis (SchA) is a uniquely expressive method of music analysis, combining elements of melody, harmony, counterpoint, and form to describe the hierarchical structure supporting a work of music. However, despite its powerful analytical u
Externí odkaz:
http://arxiv.org/abs/2408.07184
Software testing is essential for the reliable development of complex software systems. A key step in software testing is fault localization, which uses test data to pinpoint failure-inducing combinations for further diagnosis. Existing fault localiz
Externí odkaz:
http://arxiv.org/abs/2403.08079
Autor:
Miller, John Joshua, Mak, Simon
The optimization of a black-box simulator over control parameters $\mathbf{x}$ arises in a myriad of scientific applications. In such applications, the simulator often takes the form $f(\mathbf{x},\boldsymbol{\theta})$, where $\boldsymbol{\theta}$ ar
Externí odkaz:
http://arxiv.org/abs/2403.03816
Autor:
Mankolli, Andi, Angerami, Aaron, Arora, Ritu, Bass, Steffen, Cao, Shanshan, Chen, Yi, Du, Lipei, Ehlers, Raymond, Elfner, Hannah, Fan, Wenkai, Fries, Rainer J., Gale, Charles, He, Yayun, Heinz, Ulrich, Jacak, Barbara, Jacobs, Peter, Jeon, Sangyong, Ji, Yi, Kasper, Lauren, Kordell II, Michael, Kumar, Amit, Kunnawalkam-Elayavalli, R., Latessa, Joseph, Lee, Sook H., Lee, Yen-Jie, Liyanage, Dananjaya, Luzum, Matt, Majumder, Abhijit, Mak, Simon, Martin, Christal, Mehryar, Haydar, Mengel, Tanner, Mulligan, James, Nattrass, Christine, Paquet, Jean-Francois, Parker, Cameron, Putschke, Joern H., Roland, Gunther, Schenke, Bjoern, Schwiebert, Loren, Sengupta, Arjun, Shen, Chun, Sirimanna, Chathuranga, Soltz, Ron A., Soudi, Ismail, Strickland, Michael, Tachibana, Yasuki, Velkovska, Julia, Vujanovic, Gojko, Wang, Xin-Nian, Zhao, Wenbin
Considerable information about the early-stage dynamics of heavy-ion collisions is encoded in the rapidity dependence of measurements. To leverage the large amount of experimental data, we perform a systematic analysis using three-dimensional hydrody
Externí odkaz:
http://arxiv.org/abs/2401.00402
Autor:
Li, Kevin, Mak, Simon
Gaussian processes (GPs) are a popular class of Bayesian nonparametric models, but its training can be computationally burdensome for massive training datasets. While there has been notable work on scaling up these models for big data, existing metho
Externí odkaz:
http://arxiv.org/abs/2311.08752
Autor:
Parker, Cameron, Angerami, Aaron, Arora, Ritu, Bass, Steffen, Cao, Shanshan, Chen, Yi, Ehlers, Raymond, Elfner, Hannah, Fan, Wenkai, Fries, Rainer J., Gale, Charles, He, Yayun, Heinz, Ulrich, Jacak, Barbara, Jacobs, Peter, Jeon, Sangyong, Ji, Yi, Kasper, Lauren, Kordell II, Michael, Kumar, Amit, Latessa, Joseph, Lee, Yen-Jie, Lemmon, Roy, Liyanage, Dananjaya, Lopez, Arthur, Luzum, Matt, Majumder, Abhijit, Mak, Simon, Mankolli, Andi, Martin, Christal, Mehryar, Haydar, Mengel, Tanner, Mulligan, James, Nattrass, Christine, Norman, Jaime, Paquet, Jean-Francois, Putschke, Joern H., Roland, Gunther, Schenke, Bjoern, Schwiebert, Loren, Sengupta, Arjun, Shen, Chun, Sirimanna, Chathuranga, Soltz, Ron A., Soudi, Ismail, Strickland, Michael, Tachibana, Yasuki, Velkovska, Julia, Vujanovic, Gojko, Wang, Xin-Nian, Zhao, Wenbin
In this talk we review jet production in a large variety of collision systems using the JETSCAPE event generator and Hybrid Hadronization. Hybrid Hadronization combines quark recombination, applicable when distances between partons in phase space are
Externí odkaz:
http://arxiv.org/abs/2310.20631
Robust Principal Component Analysis (RPCA) is a widely used method for recovering low-rank structure from data matrices corrupted by significant and sparse outliers. These corruptions may arise from occlusions, malicious tampering, or other causes fo
Externí odkaz:
http://arxiv.org/abs/2310.19787