Soonwoo Kwon

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All published works

Action	Title	Year	Authors
+ PDF Chat	ScoreCL: augmentation-adaptive contrastive learning via score-matching function	2025	Jin Young Kim Soonwoo Kwon Hyojun Go Yunsung Lee Seungtaek Choi Hyun‐Gyoon Kim
+ PDF Chat	SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis	2024	Hyojun Go Byeongjun Park Jiho Jang Jin Young Kim Soonwoo Kwon Changick Kim
+ PDF Chat	(Empirical) Bayes Approaches to Parallel Trends	2024	Soonwoo Kwon Jonathan Roth
+ PDF Chat	(Empirical) Bayes Approaches to Parallel Trends	2024	Soonwoo Kwon Jonathan Roth
+ PDF Chat	Denoising Task Difficulty-based Curriculum for Training Diffusion Models	2024	Jin Young Kim Hyojun Go Soonwoo Kwon Hyun‐Gyoon Kim
+	Misspecified Moment Inequality Models: Inference and Diagnostics	2023	Donald W K Andrews Soonwoo Kwon
+	ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching Function	2023	Jin Young Kim Soonwoo Kwon Hyojun Go Yunsung Lee Seungtaek Choi
+	Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach	2023	Soonwoo Kwon Sojung Kim Seunghyun Lee Jin Young Kim Suyeong An Kyuseok Kim
+	Optimal Shrinkage Estimation of Fixed Effects in Linear Panel Data Models	2023	Soonwoo Kwon
+	Towards an Efficient ML System: Unveiling a Trade-off between Task Accuracy and Engineering Efficiency in a Large-scale Car Sharing Platform	2022	Kyung Ho Park Hyunhee Chung Soonwoo Kwon
+	Bias-Aware Inference in Regularized Regression Models	2020	Timothy B. Armstrong Michal Kolesár Soonwoo Kwon
+	Inference in Regression Discontinuity Designs under Monotonicity	2020	Koohyun Kwon Soonwoo Kwon
+	Adaptive Inference in Multivariate Nonparametric Regression Models Under Monotonicity	2020	Koohyun Kwon Soonwoo Kwon
+	Bias-Aware Inference in Regularized Regression Models	2020	Timothy B. Armstrong Michal Kolesár Soonwoo Kwon
+	Inference in Regression Discontinuity Designs under Monotonicity	2020	Koohyun Kwon Soonwoo Kwon
+	Inference in Regression Discontinuity Designs under Monotonicity	2020	Koohyun Kwon Soonwoo Kwon
+	Bias-Aware Inference in Regularized Regression Models	2020	Timothy B. Armstrong Michal Kolesár Soonwoo Kwon
+	Inference in Moment Inequality Models That Is Robust to Spurious Precision under Model Misspecification	2019	Donald W. K. Andrews Soonwoo Kwon
+	The identification power of smoothness assumptions in models with counterfactual outcomes	2018	Wooyoung Kim Koohyun Kwon Soonwoo Kwon Sokbae Lee
+	The identification power of smoothness assumptions in models with counterfactual outcomes	2014	Wooyoung Kim Koohyun Kwon Soonwoo Kwon Sokbae Lee

Common Coauthors

Coauthor	Papers Together
Koohyun Kwon	6
Jin Young Kim	5
Michal Kolesár	3
Timothy B. Armstrong	3
Jonathan Roth	2
Seungtaek Choi	2
Hyojun Go	2
Yunsung Lee	2
Sokbae Lee	2
Hyojun Go	2
Wooyoung Kim	2
Hyun‐Gyoon Kim	2
Hyunhee Chung	1
Sojung Kim	1
Byeongjun Park	1
Donald W. K. Andrews	1
Donald W K Andrews	1
Kyuseok Kim	1
Suyeong An	1
Changick Kim	1
Jiho Jang	1
Seunghyun Lee	1
Kyung Ho Park	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Statistical Estimation and Optimal Recovery	1994	David L. Donoho	3
+	Nonparametric inference for counterfactual means: Bias-correction, confidence sets, and weak IV	2013	Yanqin Fan Sang Soo Park	2
+	National Job Corps Study: The Impacts of Job Corps on Participants' Employment and Related Outcomes	2001	Peter Z. Schochet John Burghardt Steven Glazerman	2
+	Tighter bounds in triangular systems	2010	Sung Jae Jun Joris Pinkse Haiqing Xu	2
+ PDF Chat	Bias‐Aware Inference in Fuzzy Regression Discontinuity Designs	2024	Claudia Noack Christoph Rothe	2
+	Bootstrap Inference in Partially Identified Models Defined by Moment Inequalities: Coverage of the Identified Set	2010	Federico A. Bugni	2
+	Partial Identification in Triangular Systems of Equations With Binary Dependent Variables	2011	Azeem M. Shaikh Edward Vytlacil	2
+ PDF Chat	Reform of Unemployment Compensation in Germany: A Nonparametric Bounds Analysis Using Register Data	2009	Sokbae Lee Ralf A. Wilke	2
+	Inference in Regression Discontinuity Designs under Monotonicity	2020	Koohyun Kwon Soonwoo Kwon	2
+ PDF Chat	Identifying Treatment Effects Under Data Combination	2014	Yanqin Fan Robert P. Sherman Matthew Shum	2
+ PDF Chat	Inference for Parameters Defined by Moment Inequalities Using Generalized Moment Selection	2010	Donald W. K. Andrews Gustavo Soares	2
+ PDF Chat	Optimized Regression Discontinuity Designs	2018	Guido W. Imbens Stefan Wager	2
+ PDF Chat	Improving point and interval estimators of monotone functions by rearrangement	2009	Victor Chernozhukov Iván Fernández‐Val Alfred Galichon	2
+	Partial Identification of the Distribution of Treatment Effects in Switching Regime Models and its Confidence Sets	2009	Yanqin Fan Jisong Wu	2
+	The Propensity Score with Continuous Treatments	2004	Keisuke Hirano Guido W. Imbens	2
+	Estimating the Effects of Length of Exposure to Instruction in a Training Program: The Case of Job Corps	2011	Carlos A. Flores Alfonso Flores‐Lagunes Arturo González Todd C. Neumann	2
+	Concave-monotone treatment response and monotone treatment selection: With an application to the returns to schooling	2014	Tsunao Okumura Emiko Usui	2
+ PDF Chat	An adaptation theory for nonparametric confidence intervals	2004	Tianxi Cai Mark G. Low	2
+ PDF Chat	A test of non-identifying restrictions and confidence regions for partially identified parameters	2009	Alfred Galichon Marc Henry	2
+	VALIDITY OF SUBSAMPLING AND “PLUG-IN ASYMPTOTIC” INFERENCE FOR PARAMETERS DEFINED BY MOMENT INEQUALITIES	2009	Donald W. K. Andrews Patrik Guggenberger	2
+ PDF Chat	Identification region of the potential outcome distributions under instrument independence	2009	Toru Kitagawa	2
+ PDF Chat	Does Job Corps Work? Impact Findings from the National Job Corps Study	2008	Peter Z. Schochet John Burghardt Sheena McConnell	2
+	Adaptive testing on a regression function at a point	2015	Timothy B. Armstrong	2
+ PDF Chat	Inference in Regression Discontinuity Designs with a Discrete Running Variable	2018	Michal Kolesár Christoph Rothe	2
+	Semiparametric bounds on treatment effects	2010	Richard C. Chiburis	2
+	LEARNING BUT NOT EARNING? THE IMPACT OF JOB CORPS TRAINING ON HISPANIC YOUTH	2010	Alfonso Flores‐Lagunes Arturo González Todd C. Neumann	2
+ PDF Chat	Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure	2012	Donald W. K. Andrews Panle Jia Barwick	2
+ PDF Chat	EL inference for partially identified models: Large deviations optimality and bootstrap validity	2009	Ivan A. Canay	2
+ PDF Chat	Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities	2008	Adam Rosen	2
+	For most large underdetermined systems of linear equations the minimal 𝓁<sub>1</sub>‐norm solution is also the sparsest solution	2006	David L. Donoho	1
+ PDF Chat	Specification testing under moment inequalities	2007	Patrik Guggenberger Jinyong Hahn Kyoo il Kim	1
+ PDF Chat	Nonparametric Estimation IV	1951	D. A. S. Fraser R. Wormleighton	1
+ PDF Chat	On the Convergence of Moments in the Central Limit Theorem	1965	Bengt Von Bahr	1
+	On Nonparametric Estimation of the Value of a Linear Functional in Gaussian White Noise	1985	И. А. Ибрагимов R. Z. Khas’minskiĭ	1
+	Confidence intervals for high-dimensional linear regression: Minimax rates and adaptivity	2017	Tommaso Cai Zijian Guo	1
+ PDF Chat	Describing Textures in the Wild	2014	Mircea Cimpoi Subhransu Maji Iasonas Kokkinos Sammy Mohamed Andrea Vedaldi	1
+	A Three-step Method for Choosing the Number of Bootstrap Repetitions	2000	Donald W. K. Andrews Moshe Buchinsky	1
+ PDF Chat	Inference for Parameters Defined by Moment Inequalities: A Recommended Moment Selection Procedure	2011	Donald W. K. Andrews Panle Jia	1
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	1
+ PDF Chat	On nonparametric confidence intervals	1997	Mark G. Low	1
+	A note on bounding average treatment effects	2013	Lukáš Lafférs	1
+	Partial Identification of Probability Distributions	2003	Charles F. Manski	1
+ PDF Chat	Minimaxity of the Method of Regularization of Stochastic Processes	1982	Ker-Chau Li	1
+	Empirical Processes in M-Estimation	2000	Sara A. van de Geer	1
+	Nonparametric least squares estimation in derivative families	2010	Peter Hall Adonis Yatchew	1
+	Minimax and Adaptive Inference in Nonparametric Function Estimation	2012	Tommaso Cai	1
+ PDF Chat	Bias-Variance Tradeoffs in Functional Estimation Problems	1995	Mark G. Low	1
+	Root-N-Consistent Semiparametric Regression	1988	Peter M. Robinson	1
+	On adaptive inference and confidence bands	2011	Marc Hoffmann Richard Nickl	1
+ PDF Chat	Local instrumental variables and latent variable models for identifying and bounding treatment effects	1999	James J. Heckman Edward Vytlacil	1