Wenshuo Guo

According to our database, Wenshuo Guo authored at least 33 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Two modifications for Loidreau's code-based cryptosystem.

Wenshuo Guo, Fang-Wei Fu

Appl. Algebra Eng. Commun. Comput., September, 2024

2023

Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty.

Wenshuo Guo, Nika Haghtalab, Kirthevasan Kandasamy, Ellen Vitercik

Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback.

Romil Bhardwaj, Kirthevasan Kandasamy, Asim Biswal, Wenshuo Guo, Benjamin Hindman, Joseph Gonzalez, Michael I. Jordan, Ion Stoica

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws.

Kush Bhatia, Wenshuo Guo, Jacob Steinhardt

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Towards Socially and Economically Beneficial Machine Learning

Wenshuo Guo

PhD thesis, 2022

Multi-Source Causal Inference Using Control Variates under Outcome Selection Bias.

Wenshuo Guo, Serena Lutong Wang, Peng Ding, Yixin Wang, Michael I. Jordan

Trans. Mach. Learn. Res., 2022

McEliece-type encryption based on Gabidulin codes with no hidden structure.

Wenshuo Guo, Fangwei Fu

IACR Cryptol. ePrint Arch., 2022

Mechanisms that Incentivize Data Sharing in Federated Learning.

Sai Praneeth Karimireddy, Wenshuo Guo, Michael I. Jordan

CoRR, 2022

Off-Policy Evaluation with Policy-Dependent Optimization Response.

Wenshuo Guo, Michael I. Jordan, Angela Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

No-Regret Learning in Partially-Informed Auctions.

Wenshuo Guo, Michael I. Jordan, Ellen Vitercik

Proceedings of the International Conference on Machine Learning, 2022

Partial Identification with Noisy Covariates: A Robust Optimization Approach.

Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

Learning Competitive Equilibria in Exchange Economies with Bandit Feedback.

Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael I. Jordan, Ion Stoica

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits.

Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya K. Muthukumar, Ashwin Pananjady

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Cryptanalysis and Repair of a Gabidulin Code Based Cryptosystem from ACISP 2018.

Wenshuo Guo, Fangwei Fu

Proceedings of the Information Security and Privacy - 27th Australasian Conference, 2022

2021

Expanded Gabidulin Codes and Their Application to Cryptography.

Wenshuo Guo, Fangwei Fu

IACR Cryptol. ePrint Arch., 2021

Polynomial-Time Key Recovery Attack on the Lau-Tan Cryptosystem Based on Gabidulin Codes.

Wenshuo Guo, Fangwei Fu

CoRR, 2021

Semilinear transformations in coding theory and their application to cryptography.

Wenshuo Guo, Fangwei Fu

CoRR, 2021

Online Learning of Competitive Equilibria in Exchange Economies.

Wenshuo Guo, Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica

CoRR, 2021

Multi-Source Causal Inference Using Control Variates.

Wenshuo Guo, Serena Lutong Wang, Peng Ding, Yixin Wang, Michael I. Jordan

CoRR, 2021

Test-time Collective Prediction.

Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Learning of Optimal Auctions.

Wenshuo Guo, Michael I. Jordan, Emmanouil Zampetakis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Stereotyping Problem in Collaboratively Filtered Recommender Systems.

Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg

Proceedings of the EAAMO 2021: ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, Virtual Event, USA, October 5, 2021

A Variational Inequality Approach to Bayesian Regression Games.

Wenshuo Guo, Michael I. Jordan, Tianyi Lin

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Do Offline Metrics Predict Online Performance in Recommender Systems?

Karl Krauth, Sarah Dean, Alex Zhao, Wenshuo Guo, Mihaela Curmei, Benjamin Recht, Michael I. Jordan

CoRR, 2020

Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty.

Wenshuo Guo, Mihaela Curmei, Serena Lutong Wang, Benjamin Recht, Michael I. Jordan

CoRR, 2020

Robust Optimization for Fairness with Noisy Protected Groups.

Serena Lutong Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Approximate Heavily-Constrained Learning with Lagrange Multiplier Models.

Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou, Serena Lutong Wang, Wenshuo Guo

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Neural Kernels Without Tangents.

Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht

Proceedings of the 37th International Conference on Machine Learning, 2020

Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter.

Wenshuo Guo, Nhat Ho, Michael I. Jordan

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Accelerated Primal-Dual Coordinate Descent for Computational Optimal Transport.

Wenshuo Guo, Nhat Ho, Michael I. Jordan

CoRR, 2019

2017

Optimization of financial network stability by genetic algorithm.

Juntao Wang, Wenshuo Guo, Kwok Yip Szeto

Proceedings of the International Conference on Web Intelligence, 2017

Minimization of Systemic Risk for Directed Network Using Genetic Algorithm.

Wenshuo Guo, Kwok Yip Szeto

Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Spin Model of Two Random Walkers in Complex Networks.

Wenshuo Guo, Juntao Wang, Kwok Yip Szeto

Proceedings of the Complex Networks & Their Applications VI, 2017