default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDWenshuo Guo
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j3]Wenshuo Guo, Fang-Wei Fu:
Two modifications for Loidreau's code-based cryptosystem. Appl. Algebra Eng. Commun. Comput. 35(5): 647-665 (2024)- [j2]Wenshuo Guo, Nika Haghtalab, Kirthevasan Kandasamy, Ellen Vitercik:
Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty. SIGecom Exch. 22(1): 74-82 (2024) - 2023
- [c21]Kush Bhatia, Wenshuo Guo, Jacob Steinhardt:
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws. AISTATS 2023: 11149-11171 - [c20]Romil Bhardwaj, Kirthevasan Kandasamy, Asim Biswal, Wenshuo Guo, Benjamin Hindman, Joseph Gonzalez, Michael I. Jordan, Ion Stoica:
Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback. OSDI 2023: 623-643 - [c19]Wenshuo Guo
, Nika Haghtalab, Kirthevasan Kandasamy, Ellen Vitercik:
Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty. EC 2023: 816 - [i25]Wenshuo Guo, Nika Haghtalab, Kirthevasan Kandasamy, Ellen Vitercik:
Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty. CoRR abs/2302.09700 (2023) - [i24]Kush Bhatia, Wenshuo Guo, Jacob Steinhardt:
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws. CoRR abs/2302.12349 (2023) - 2022
- [b1]Wenshuo Guo:
Towards Socially and Economically Beneficial Machine Learning. University of California, Berkeley, USA, 2022 - [j1]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) - [c18]Wenshuo Guo, Fangwei Fu:
Cryptanalysis and Repair of a Gabidulin Code Based Cryptosystem from ACISP 2018. ACISP 2022: 189-205 - [c17]Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael I. Jordan, Ion Stoica:
Learning Competitive Equilibria in Exchange Economies with Bandit Feedback. AISTATS 2022: 6200-6224 - [c16]Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya K. Muthukumar, Ashwin Pananjady:
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits. AISTATS 2022: 6357-6386 - [c15]Wenshuo Guo, Fangwei Fu:
McEliece-Type Encryption Based on Gabidulin Codes with No Hidden Structure. Inscrypt 2022: 108-126 - [c14]Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan:
Partial Identification with Noisy Covariates: A Robust Optimization Approach. CLeaR 2022: 318-335 - [c13]Wenshuo Guo, Michael I. Jordan, Ellen Vitercik:
No-Regret Learning in Partially-Informed Auctions. ICML 2022: 8039-8055 - [c12]Wenshuo Guo, Michael I. Jordan, Angela Zhou:
Off-Policy Evaluation with Policy-Dependent Optimization Response. NeurIPS 2022 - [i23]Wenshuo Guo, Michael I. Jordan, Ellen Vitercik:
No-Regret Learning in Partially-Informed Auctions. CoRR abs/2202.10606 (2022) - [i22]Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan:
Partial Identification with Noisy Covariates: A Robust Optimization Approach. CoRR abs/2202.10665 (2022) - [i21]Wenshuo Guo, Michael I. Jordan, Angela Zhou:
Off-Policy Evaluation with Policy-Dependent Optimization Response. CoRR abs/2202.12958 (2022) - [i20]Sai Praneeth Karimireddy, Wenshuo Guo, Michael I. Jordan:
Mechanisms that Incentivize Data Sharing in Federated Learning. CoRR abs/2207.04557 (2022) - [i19]Wenshuo Guo, Fangwei Fu:
McEliece-type encryption based on Gabidulin codes with no hidden structure. IACR Cryptol. ePrint Arch. 2022: 1166 (2022) - 2021
- [c11]Wenshuo Guo, Michael I. Jordan, Tianyi Lin:
A Variational Inequality Approach to Bayesian Regression Games. CDC 2021: 795-802 - [c10]Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg:
The Stereotyping Problem in Collaboratively Filtered Recommender Systems. EAAMO 2021: 6:1-6:10 - [c9]Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan:
Test-time Collective Prediction. NeurIPS 2021: 13719-13731 - [c8]Wenshuo Guo, Michael I. Jordan, Emmanouil Zampetakis:
Robust Learning of Optimal Auctions. NeurIPS 2021: 21273-21284 - [i18]Wenshuo Guo, Michael I. Jordan, Tianyi Lin:
A Variational Inequality Approach to Bayesian Regression Games. CoRR abs/2103.13509 (2021) - [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]Wenshuo Guo, Fangwei Fu:
Two modifications for Loidreau's code-based cryptosystem. CoRR abs/2104.02254 (2021) - [i15]Wenshuo Guo, Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica:
Online Learning of Competitive Equilibria in Exchange Economies. CoRR abs/2106.06616 (2021) - [i14]Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan:
Test-time Collective Prediction. CoRR abs/2106.12012 (2021) - [i13]Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg:
The Stereotyping Problem in Collaboratively Filtered Recommender Systems. CoRR abs/2106.12622 (2021) - [i12]Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya Muthukumar, Ashwin Pananjady:
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits. CoRR abs/2106.14866 (2021) - [i11]Wenshuo Guo, Fangwei Fu:
Expanded Gabidulin Codes and Their Application to Cryptography. CoRR abs/2107.01610 (2021) - [i10]Wenshuo Guo, Fangwei Fu:
Semilinear transformations in coding theory and their application to cryptography. CoRR abs/2107.03157 (2021) - [i9]Wenshuo Guo, Michael I. Jordan, Manolis Zampetakis:
Robust Learning of Optimal Auctions. CoRR abs/2107.06259 (2021) - [i8]Wenshuo Guo, Fangwei Fu:
Polynomial-Time Key Recovery Attack on the Lau-Tan Cryptosystem Based on Gabidulin Codes. CoRR abs/2112.15466 (2021) - [i7]Wenshuo Guo, Fangwei Fu:
Two modifications for Loidreau's code-based cryptosystem. IACR Cryptol. ePrint Arch. 2021: 440 (2021) - [i6]Wenshuo Guo, Fangwei Fu:
Expanded Gabidulin Codes and Their Application to Cryptography. IACR Cryptol. ePrint Arch. 2021: 906 (2021) - 2020
- [c7]Wenshuo Guo, Nhat Ho, Michael I. Jordan:
Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter. AISTATS 2020: 2088-2097 - [c6]Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht:
Neural Kernels Without Tangents. ICML 2020: 8614-8623 - [c5]Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou, Serena Lutong Wang, Wenshuo Guo:
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models. NeurIPS 2020 - [c4]Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan:
Robust Optimization for Fairness with Noisy Protected Groups. NeurIPS 2020 - [i5]Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan:
Robust Optimization for Fairness with Noisy Protected Groups. CoRR abs/2002.09343 (2020) - [i4]Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht:
Neural Kernels Without Tangents. CoRR abs/2003.02237 (2020) - [i3]Wenshuo Guo, Mihaela Curmei, Serena Lutong Wang, Benjamin Recht, Michael I. Jordan:
Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty. CoRR abs/2007.05647 (2020) - [i2]Karl Krauth, Sarah Dean, Alex Zhao, Wenshuo Guo, Mihaela Curmei, Benjamin Recht, Michael I. Jordan:
Do Offline Metrics Predict Online Performance in Recommender Systems? CoRR abs/2011.07931 (2020)
2010 – 2019
- 2019
- [i1]Wenshuo Guo, Nhat Ho, Michael I. Jordan:
Accelerated Primal-Dual Coordinate Descent for Computational Optimal Transport. CoRR abs/1905.09952 (2019) - 2017
- [c3]Wenshuo Guo, Juntao Wang, Kwok Yip Szeto:
Spin Model of Two Random Walkers in Complex Networks. COMPLEX NETWORKS 2017: 555-566 - [c2]Wenshuo Guo, Kwok Yip Szeto:
Minimization of Systemic Risk for Directed Network Using Genetic Algorithm. EvoApplications (1) 2017: 3-16 - [c1]Juntao Wang, Wenshuo Guo, Kwok Yip Szeto:
Optimization of financial network stability by genetic algorithm. WI 2017: 517-524
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 2024-12-05 20:42 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:
