default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYixin Wang 0002
Person information
- affiliation: University of Michigan, Department of Statistics, Ann Arbor, MI, USA
- affiliation: University of California at Berkeley (UC Berkeley), Department of EECS, USA
- affiliation (PhD 2020): Columbia University, Department of Statistics, NY, USA
Other persons with the same name
- Yixin Wang (aka: Yi-xin Wang, Yi-Xin Wang) — disambiguation page
- Yixin Wang 0001
![[0000-0003-2736-7534]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2736-7534")
— Xi'an Jiaotong University, School of Information and Communications Engineering, China - Yixin Wang 0003 — Stanford University, Department of Bioengineering, CA, USA (and 2 more)
- Yixin Wang 0004 (aka: Yixin (Iris) Wang) — University of Illinois Urbana-Champaign, Gies College of Business, IL, USA
- Yixin Wang 0005 — Agency for Science, Technology and Research (A*STAR), Institute for Infocomm Research (I2R), Singapore (and 1 more)
- Yixin Wang 0006 — Shenzhen University, College of Management, Greater Bay Area International Institute for Innovation, China
- Yixin Wang 0007 — Xi'an Jiaotong University, Faculty of Electronics and Information Engineering, MOE KLINNS Lab, China (and 2 more)
- Yixin Wang 0008 — Tsinghua University, Department of Mechanical Engineering, Beijing, China
- Yixin Wang 0009 — Xidian University, School of Electronic Engineering, Xi'an, Shaanxi, China
- Yixin Wang 0010 — Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China
- Yixin Wang 0011 — Tohoku University, Research Institute of Electrical Communication, Sendai-shi, Japan
- Yixin Wang 0012 — Keio University, Graduate School of Media Design, Tokyo, Yokohama, Japan
- Yixin Wang 0013 (aka: Yi-Xin Wang 0013) — PLA Nanjing Institute of Politics, School of Marxism, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2026
[j10]Karl Krauth, Yixin Wang, Michael I. Jordan:
Breaking Feedback Loops in Recommender Systems with Causal Inference. Trans. Recomm. Syst. 4(1): 14:1-14:20 (2026)- 2025
- [c27]Yixin Wang:
Representation Learning: A Causal Perspective. AAAI 2025: 28731 - [c26]Sebastian Salazar, Michal Kucer, Yixin Wang, Emily M. Casleton, David M. Blei:
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference. AISTATS 2025: 4411-4419 - [c25]Harrie Oosterhuis, Olivier Jeunen, Yuta Saito, Yixin Wang, Flavian Vasile, Thorsten Joachims:
CONSEQUENCES 2025 - The 4th Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys 2025: 1362-1365 - [i33]Kevin Christian Wibisono, Yixin Wang:
Exponential Family Attention. CoRR abs/2501.16790 (2025) - [i32]Luhuan Wu, Mingzhang Yin, Yixin Wang, John P. Cunningham, David M. Blei:
Bayesian Invariance Modeling of Multi-Environment Data. CoRR abs/2506.22675 (2025) - 2024
- [j9]Linying Zhang, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noémie Elhadad, David M. Blei, George Hripcsak:
Causal fairness assessment of treatment allocation with electronic health records. J. Biomed. Informatics 155: 104656 (2024) - [j8]Mingzhang Yin, Yixin Wang, David M. Blei:
Optimization-based Causal Estimation from Heterogeneous Environments. J. Mach. Learn. Res. 25: 168:1-168:44 (2024) - [c24]Caterina De Bacco, Yixin Wang, David M. Blei:
A causality-inspired plus-minus model for player evaluation in team sports. CLeaR 2024: 769-792 - [c23]Kevin Christian Wibisono, Yixin Wang:
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When. NeurIPS 2024 - [c22]Olivier Jeunen, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang:
CONSEQUENCES - The 3rd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys 2024: 1206-1209 - [i31]Kevin Christian Wibisono, Yixin Wang:
How In-Context Learning Emerges from Training on Unstructured Data: On the Role of Co-Occurrence, Positional Information, and Noise Structures. CoRR abs/2406.00131 (2024) - [i30]Sebastian Salazar, Michal Kucer, Yixin Wang, Emily M. Casleton, David M. Blei:
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference. CoRR abs/2412.13286 (2024) - 2023
- [j7]Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt:
Learning Equilibria in Matching Markets with Bandit Feedback. J. ACM 70(3): 19:1-19:46 (2023) - [j6]Cameron J. Gruich, Varun Madhavan, Yixin Wang, Bryan R. Goldsmith:
Clarifying trust of materials property predictions using neural networks with distribution-specific uncertainty quantification. Mach. Learn. Sci. Technol. 4(2): 25019 (2023) - [j5]Chenjia Bai, Lingxiao Wang, Yixin Wang, Zhaoran Wang, Rui Zhao, Chenyao Bai, Peng Liu:
Addressing Hindsight Bias in Multigoal Reinforcement Learning. IEEE Trans. Cybern. 53(1): 392-405 (2023) - [j4]Yixin Wang, Dhanya Sridhar, David M. Blei:
Adjusting Machine Learning Decisions for Equal Opportunity and Counterfactual Fairness. Trans. Mach. Learn. Res. 2023 (2023) - [c21]Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I. Jordan:
Recommendation Systems with Distribution-Free Reliability Guarantees. COPA 2023: 175-193 - [c20]Han Zhang, Shangen Lu, Yixin Wang, Mihaela Curmei:
Delayed and Indirect Impacts of Link Recommendations. FAccT 2023: 545-557 - [c19]Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song:
On Learning Necessary and Sufficient Causal Graphs. NeurIPS 2023 - [c18]Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang:
CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. RecSys 2023: 1223-1226 - [c17]Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan:
The Sample Complexity of Online Contract Design. EC 2023: 1188 - [c16]Kevin Christian Wibisono, Yixin Wang:
Bidirectional Attention as a Mixture of Continuous Word Experts. UAI 2023: 2271-2281 - [i29]Yixin Wang, David M. Blei, John P. Cunningham:
Posterior Collapse and Latent Variable Non-identifiability. CoRR abs/2301.00537 (2023) - [i28]Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song:
On Learning Necessary and Sufficient Causal Graphs. CoRR abs/2301.12389 (2023) - [i27]Cameron J. Gruich, Varun Madhavan, Yixin Wang, Bryan R. Goldsmith:
Clarifying Trust of Materials Property Predictions using Neural Networks with Distribution-Specific Uncertainty Quantification. CoRR abs/2302.02595 (2023) - [i26]Kevin Christian Wibisono, Yixin Wang:
Bidirectional Attention as a Mixture of Continuous Word Experts. CoRR abs/2307.04057 (2023) - 2022
- [j3]Linying Zhang, Yixin Wang, Martijn J. Schuemie, David M. Blei, George Hripcsak:
Adjusting for indirectly measured confounding using large-scale propensity score. J. Biomed. Informatics 134: 104204 (2022) - [j2]Wenshuo Guo, Serena Lutong Wang, Peng Ding, Yixin Wang, Michael I. Jordan:
Multi-Source Causal Inference Using Control Variates under Outcome Selection Bias. Trans. Mach. Learn. Res. 2022 (2022) - [j1]Gemma E. Moran, Dhanya Sridhar, Yixin Wang, David M. Blei:
Identifiable Deep Generative Models via Sparse Decoding. Trans. Mach. Learn. Res. 2022 (2022) - [c15]Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan:
Partial Identification with Noisy Covariates: A Robust Optimization Approach. CLeaR 2022: 318-335 - [c14]Michael I. Jordan, Yixin Wang, Angela Zhou:
Empirical Gateaux Derivatives for Causal Inference. NeurIPS 2022 - [c13]Celestine Mendler-Dünner, Frances Ding, Yixin Wang:
Anticipating Performativity by Predicting from Predictions. NeurIPS 2022 - [i25]Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan:
Partial Identification with Noisy Covariates: A Robust Optimization Approach. CoRR abs/2202.10665 (2022) - [i24]Anastasios N. Angelopoulos, Karl Krauth, Stephen Bates, Yixin Wang, Michael I. Jordan:
Recommendation Systems with Distribution-Free Reliability Guarantees. CoRR abs/2207.01609 (2022) - [i23]Karl Krauth, Yixin Wang, Michael I. Jordan:
Breaking Feedback Loops in Recommender Systems with Causal Inference. CoRR abs/2207.01616 (2022) - [i22]Paula Gradu, Tijana Zrnic, Yixin Wang, Michael I. Jordan:
Valid Inference after Causal Discovery. CoRR abs/2208.05949 (2022) - [i21]Celestine Mendler-Dünner, Frances Ding, Yixin Wang:
Predicting from Predictions. CoRR abs/2208.07331 (2022) - [i20]Michael I. Jordan, Yixin Wang, Angela Zhou:
Empirical Gateaux Derivatives for Causal Inference. CoRR abs/2208.13701 (2022) - [i19]Banghua Zhu, Stephen Bates, Zhuoran Yang, Yixin Wang, Jiantao Jiao, Michael I. Jordan:
The Sample Complexity of Online Contract Design. CoRR abs/2211.05732 (2022) - [i18]Linying Zhang, Lauren R. Richter, Yixin Wang, Anna Ostropolets, Noemie Elhadad, David M. Blei, George Hripcsak:
A Bayesian Causal Inference Approach for Assessing Fairness in Clinical Decision-Making. CoRR abs/2211.11183 (2022) - 2021
- [c12]Yixin Wang, David M. Blei:
A Proxy Variable View of Shared Confounding. ICML 2021: 10697-10707 - [c11]Nicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang:
Bayesian Causal Inference for Real World Interactive Systems. KDD 2021: 4114-4115 - [c10]Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt:
Learning Equilibria in Matching Markets from Bandit Feedback. NeurIPS 2021: 3323-3335 - [c9]Yixin Wang, David M. Blei, John P. Cunningham:
Posterior Collapse and Latent Variable Non-identifiability. NeurIPS 2021: 5443-5455 - [i17]Wenshuo Guo, Serena Lutong Wang, Peng Ding, Yixin Wang, Michael I. Jordan:
Multi-Source Causal Inference Using Control Variates. CoRR abs/2103.16689 (2021) - [i16]Meena Jagadeesan, Alexander Wei, Yixin Wang, Michael I. Jordan, Jacob Steinhardt:
Learning Equilibria in Matching Markets from Bandit Feedback. CoRR abs/2108.08843 (2021) - [i15]Yixin Wang, Michael I. Jordan:
Desiderata for Representation Learning: A Causal Perspective. CoRR abs/2109.03795 (2021) - [i14]Mingzhang Yin, Yixin Wang, David M. Blei:
Optimization-based Causal Estimation from Heterogenous Environments. CoRR abs/2109.11990 (2021) - [i13]Gemma E. Moran, Dhanya Sridhar, Yixin Wang, David M. Blei:
Identifiable Variational Autoencoders via Sparse Decoding. CoRR abs/2110.10804 (2021) - 2020
- [c8]Linying Zhang, Yixin Wang, Anna Ostropolets, Ruijun Chen, David M. Blei, George Hripcsak:
The Multi-Outcome Medical Deconfounder: Assessing Treatment Effect on Multiple Renal Measures. AMIA 2020 - [c7]Yixin Wang, Dawen Liang, Laurent Charlin, David M. Blei:
Causal Inference for Recommender Systems. RecSys 2020: 426-431 - [i12]Yixin Wang, David M. Blei:
Towards Clarifying the Theory of the Deconfounder. CoRR abs/2003.04948 (2020)
2010 – 2019
- 2019
- [c6]Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak:
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records. MLHC 2019: 490-512 - [c5]Yixin Wang, David M. Blei:
Variational Bayes under Model Misspecification. NeurIPS 2019: 13357-13367 - [c4]Victor Veitch, Yixin Wang, David M. Blei:
Using Embeddings to Correct for Unobserved Confounding in Networks. NeurIPS 2019: 13769-13779 - [i11]Victor Veitch, Yixin Wang, David M. Blei:
Using Embeddings to Correct for Unobserved Confounding. CoRR abs/1902.04114 (2019) - [i10]Linying Zhang, Yixin Wang, Anna Ostropolets, Jami J. Mulgrave, David M. Blei, George Hripcsak:
The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs). CoRR abs/1904.02098 (2019) - [i9]Yixin Wang, David M. Blei:
Variational Bayes under Model Misspecification. CoRR abs/1905.10859 (2019) - [i8]Yixin Wang, Dhanya Sridhar, David M. Blei:
Equal Opportunity and Affirmative Action via Counterfactual Predictions. CoRR abs/1905.10870 (2019) - [i7]Yixin Wang, David M. Blei:
Multiple Causes: A Causal Graphical View. CoRR abs/1905.12793 (2019) - [i6]Yixin Wang, David M. Blei:
The Blessings of Multiple Causes: A Reply to Ogburn et al. (2019). CoRR abs/1910.07320 (2019) - 2018
- [c3]Wesley Tansey, Yixin Wang, David M. Blei, Raul Rabadan:
Black Box FDR. ICML 2018: 4874-4883 - [i5]Yixin Wang, David M. Blei:
The Blessings of Multiple Causes. CoRR abs/1805.06826 (2018) - [i4]Wesley Tansey, Yixin Wang, David M. Blei, Raul Rabadan:
Black Box FDR. CoRR abs/1806.03143 (2018) - [i3]Yixin Wang, Dawen Liang, Laurent Charlin, David M. Blei:
The Deconfounded Recommender: A Causal Inference Approach to Recommendation. CoRR abs/1808.06581 (2018) - 2017
- [c2]Alp Kucukelbir, Yixin Wang, David M. Blei:
Evaluating Bayesian Models with Posterior Dispersion Indices. ICML 2017: 1925-1934 - [c1]Yixin Wang, Alp Kucukelbir, David M. Blei:
Robust Probabilistic Modeling with Bayesian Data Reweighting. ICML 2017: 3646-3655 - [i2]Yixin Wang, David M. Blei:
Frequentist Consistency of Variational Bayes. CoRR abs/1705.03439 (2017) - 2016
- [i1]Yixin Wang, Alp Kucukelbir, David M. Blei:
Reweighted Data for Robust Probabilistic Models. CoRR abs/1606.03860 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-03-10 22:56 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
