Yinchu zhu

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Whitney Newey. Papers. Minimax Semiparametric Learning with Approximate Sparsity. Jelena Bradic, Victor Chernozhukov, Whitney K. Newey, and Yinchu Zhu.

Exact and Robust Conformal Inference Methods for Predictive Machine Learning With Dependent Data. Chernozhukov, Victor; ;; Wuthrich, Kaspar; ;; Zhu, Yinchu  The first place of “Research and Innovation Star” in Nanjing Tech University, 2016. • National Scholarship for Doctoral Postgraduate Students, 2016. • Scholarship  Zhu Yin (燭陰), also known as Zhulong ( 燭龍 * ) and Shokuin or Shokuryuu in Japanese, is a Chinese light and weather dragon deity that lives on Mount Zhōng ,  Xu Zhu's first Legendary Battle allows the player to rescue Dian Wei from death at Wan Castle. In his second Legendary Battle, Xu Zhu protects Cao Cao by  Hi there! I am a senior engineer at Qualcomm AI Research, working on machine learning and computer vision. Currently I'm interested in generative models and  Tao Zhu Yin Yuan.

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; Komunjer, Ivana; Show all 2 Author Source: Journal of econometrics 2020 v.218 no.2 pp. 561-586 ISSN: 0304-4076 Subject: Monte Carlo (Causal Forest) Be Gentle to the Newbies: Heterogeneous Impacts of Negative Feedback in Online Communities (with Yinchu Zhu, Laura Brandimarte, and Dong Jing) Predictive Models (Network Analysis) Personalized Recommendation of Crowd-funding Campaigns: A Bipartite Graph Approach for Sparse Data , Systems Engineering - Theory & Practice , 2017 FREE Background Report. Check Reputation Score for Yinchu Zhu in Eugene, OR - View Criminal & Court Records | Photos | Address, Email & Phone Number | Personal Review | Income & Net Worth Yinchu Zhu. University of Oregon ( email) 1280 University of Oregon Eugene, OR 97403 United States. Download This Paper. Open PDF in Browser View phone numbers, addresses, public records, background check reports and possible arrest records for Yinchu Zhu. Whitepages people search is the most trusted directory. Background Checks Total downloads of all papers by Yinchu Zhu. If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday.

4 VICTOR CHERNOZHUKOV, CHRISTIAN HANSEN, YUAN LIAO, AND YINCHU ZHU slopes. Studying slope heterogeneity has also been an important topic for panel data. For example, Chamberlain and Hirano (1999) and Pesaran (2006) consider models with coe cients that are not time-varying but are heterogeneous across individuals.

2017-present LUNDQUIST COLLEGE OF BUSINESS, UNIVERSITY OF OREGON. Assistant Professor of Operations and Business Analytics .

Yinchu zhu

10/30/2019

He also holds master’s degrees in finance and applied mathematics and a bachelor’s degree in accounting. Bradic, Jelena, Stefan Wager, and Yinchu Zhu. Sparsity Double Robust Inference of Average Treatment Effects.

Yinchu zhu

Yinchu has 4 jobs listed on their profile.

Yinchu zhu

Visualize os perfis de pessoas chamadas Yinchu Zhu. Participe do Facebook para se conectar com Yinchu Zhu e outros que você talvez conheça. O Facebook "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors" (with Thomas M. Russell) Discussant: Adam Rosen (Duke) Panelists: Wayne Gao (Penn), Florian Gunsilius (Michigan), Sukjin Han (Bristol), Takuya Ura (UC Davis) Dr. Yinchu Zhu from Brandeis University: Virtual seminar : Quantitative Research in Financial Economics virtual seminar Title: How well can we learn large factor models without assuming strong factors? Abstract: In this paper, we consider the problem of learning models with a latent factor structure. The focus is to find what is possible and Yinchu Zhu, Jelena Bradic. Electron.

Ph.D., Economics, Department of Economics, UC San Diego As a doctoral student, he worked with Rady Faculty: Prof. Allan Timmermann (co-Chair of Committee) and Prof. Rossen Valkanov.. Dr. Farmer is currently an Assistant Professor of Economics - Department of Economics, University of Virginia (2017 - ). Dr. Yinchu Zhu from Brandeis University: Virtual seminar : Quantitative Research in Financial Economics virtual seminar Title: How well can we learn large factor models without assuming strong factors? Abstract: In this paper, we consider the problem of learning models with a latent factor structure.

A projection pursuit framework for testing general high-dimensional hypothesis | 2017+ New projection estimator and test statistic based on the contrast of two competing estimators (with Yinchu Zhu) 13. Two-sample testing in high-dimensional and dense models | 2016+ Yinchu Zhu. Yinchu Zhu Assistant Professor of Operations and Business Analytics at University of Oregon - Charles Lundquist College of Business. Eugene, OR. Jan 13, 2020 · New research by Ritong Qu, Allan Timmermann, and Yinchu Zhu shows that the consensus forecast of individual economists beats even that of the most skilled single economist. So investors should rely on the wisdom of the crowd and follow the expert consensus forecast rather than any individual prediction. %0 Conference Paper %T Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data %A Victor Chernozhukov %A Kaspar Wüthrich %A Zhu Yinchu %B Proceedings of the 31st Conference On Learning Theory %C Proceedings of Machine Learning Research %D 2018 %E Sébastien Bubeck %E Vianney Perchet %E Philippe Rigollet %F pmlr-v75-chernozhukov18a %I PMLR %J Aug 01, 2017 · Models with many signals, high-dimensional models, often impose structures on the signal strengths. The common assumption is that only a few signals are strong and most of the signals are zero or close (collectively) to zero. However, such a requirement might not be valid in many real-life applications.

His research focuses on econometrics, statistics and machine learning. Prior to joining Brandeis in 2020, he served on the faculty at University of Oregon. View Yinchu Zhu’s profile on LinkedIn, the world's largest professional community.

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Yinchu Zhu, Assistant Professor of Operations and Business Analytics Zhu joins us from the University of California, San Diego where he earned his PhD from the Rady School of Management. He also holds master’s degrees in finance and applied mathematics and a bachelor’s degree in accounting.

Evaluating the Rationality of Mode Forecasts Timo Dimitriadis, University of Konstanz Andrew Patton, Duke University Patrick Schmidt, Frankfurt University: 11:40 a.m. Approximate Maximum Likelihood for Complex Structural Models David Frazier, Monash University Eric Renault, University of Warwick: 12 Find Yinchu Zhu in the United States. We found 2 entries for Yinchu Zhu in the United States. The name Yinchu Zhu has over 1 birth records, 0 death records, 0 criminal/court records, 7 address records, 0 phone records and more. Get full address, contact info, background report and more! 415 South Street, Waltham, MA 02453 (781) 736-2252 globaladmissions@brandeis.edu (781) 736-2252 globaladmissions@brandeis.edu "Partial Identification in Nonseparable Binary Response Models with Endogenous Regressors" (with Thomas M. Russell) Discussant: Adam Rosen (Duke) Panelists: Wayne Gao (Penn), Florian Gunsilius (Michigan), Sukjin Han (Bristol), Takuya Ura (UC Davis) @inproceedings{Zhu2018SeP2, title={Se p 20 18 k-step correction for mixed integer linear programming : a new approach for instrumental variable quantile regressions and related problems ∗}, author={Yinchu Zhu}, year={2018} } Yinchu Zhu (University of Oregon) “An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls” Dec 5th (Wed.) 2:00pm-3: 50pm/ Oak 337: Rui Sun (UCONN) / Zhonghui Zhang (UCONN) “Bias-Corrected Estimators in the Dynamic Panel Data Model”/”Mahalanobis Metric Based Clustering for Fixed Effects Model” Sep 14, 2020 · The Federal Reserve Board of Governors in Washington DC. conference.

Yinchu Zhu. University of Oregon. Date Written: July 19, 2016. Abstract. We propose a simple but flexible parametric method for estimating multiple conditional quantiles. By construction, the estimated quantiles will satisfy the monotonicity requirement which must hold for any distribution, so, in contrast to many benchmark methods, they are

An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls Jiale Ma 1 2 3 , Ze Zhang 1 2 3 , Zihao Pan 1 2 3 , Qiankun Bai 1 2 3 , Xiaojun Zhong 1 2 3 , Yinchu Zhu 1 2 3 , Yue Zhang 1 2 3 , Zongfu Wu 1 2 3 , Guangjin Liu 1 2 3 , Huochun Yao 1 2 3 Affiliations The best in georgia state university . I must have done a 1000 good deeds to have got professor zhu as my interactive computer graphics teacher. He had his office hours on wednesday and I would always go to clarify my doubts .He always clarified my doubts patiently and in the most best way possible. His TA was also most helpful. yinchuzhu@brandeis.edu My main research area is theory and methodology in econometrics, statistics and machine learning. Currently, a major focus is high-dimensional models. Applications of my research include big data analysis, causal inference, economics and finance.

Arxiv. Uniform inference for high-dimensional quantile process: linear testing and regression rank scores. Hypothesis tests in models whose dimension far exceeds the sample size can be formulated much like the classical studentized tests only after the initial bias of estimation is removed Researchr. Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers. Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors. 06/05/2020 ∙ by Yinchu Zhu, et al. ∙ 0 ∙ share read it.