Wenshuo Guo

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 50

Top Topics

Robust Optimization

Chance Constraints

Online Learning

Causal Inference

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Wenshuo Guo, Fang-Wei Fu
Two modifications for Loidreau's code-based cryptosystem. Appl. Algebra Eng. Commun. Comput. 35 (5) (2024)
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)
Wenshuo Guo, Nika Haghtalab, Kirthevasan Kandasamy, Ellen Vitercik
Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty. EC (2023)
Kush Bhatia, Wenshuo Guo, Jacob Steinhardt
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws. AISTATS (2023)
Wenshuo Guo, Nika Haghtalab, Kirthevasan Kandasamy, Ellen Vitercik
Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty. CoRR (2023)
Kush Bhatia, Wenshuo Guo, Jacob Steinhardt
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws. CoRR (2023)
Sai Praneeth Karimireddy, Wenshuo Guo, Michael I. Jordan
Mechanisms that Incentivize Data Sharing in Federated Learning. CoRR (2022)
Wenshuo Guo, Fangwei Fu
Polynomial-Time Key Recovery Attack on the Lau-Tan Cryptosystem Based on Gabidulin Codes. IACR Cryptol. ePrint Arch. 2022 (2022)
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)
Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya K. Muthukumar, Ashwin Pananjady
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits. AISTATS (2022)
Wenshuo Guo, Michael I. Jordan, Ellen Vitercik
No-Regret Learning in Partially-Informed Auctions. CoRR (2022)
Wenshuo Guo, Fangwei Fu
McEliece-Type Encryption Based on Gabidulin Codes with No Hidden Structure. Inscrypt (2022)
Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
Learning Competitive Equilibria in Exchange Economies with Bandit Feedback. AISTATS (2022)
Wenshuo Guo, Michael I. Jordan, Ellen Vitercik
No-Regret Learning in Partially-Informed Auctions. ICML (2022)
Wenshuo Guo, Michael I. Jordan, Angela Zhou
Off-Policy Evaluation with Policy-Dependent Optimization Response. CoRR (2022)
Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan
Partial Identification with Noisy Covariates: A Robust Optimization Approach. CoRR (2022)
Wenshuo Guo, Fangwei Fu
McEliece-type encryption based on Gabidulin codes with no hidden structure. IACR Cryptol. ePrint Arch. 2022 (2022)
Wenshuo Guo, Fangwei Fu
Cryptanalysis and Repair of a Gabidulin Code Based Cryptosystem from ACISP 2018. ACISP (2022)
Wenshuo Guo, Mingzhang Yin, Yixin Wang, Michael I. Jordan
Partial Identification with Noisy Covariates: A Robust Optimization Approach. CLeaR (2022)
Wenshuo Guo, Michael I. Jordan, Angela Zhou
Off-Policy Evaluation with Policy-Dependent Optimization Response. NeurIPS (2022)
Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg
The Stereotyping Problem in Collaboratively Filtered Recommender Systems. CoRR (2021)
Wenshuo Guo, Serena Wang, Peng Ding, Yixin Wang, Michael I. Jordan
Multi-Source Causal Inference Using Control Variates. CoRR (2021)
Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan
Test-time Collective Prediction. CoRR (2021)
Wenshuo Guo, Fangwei Fu
Expanded Gabidulin Codes and Their Application to Cryptography. CoRR (2021)
Wenshuo Guo, Fangwei Fu
Two modifications for Loidreau's code-based cryptosystem. CoRR (2021)
Wenshuo Guo, Fangwei Fu
Expanded Gabidulin Codes and Their Application to Cryptography. IACR Cryptol. ePrint Arch. 2021 (2021)
Wenshuo Guo, Kumar Krishna Agrawal, Aditya Grover, Vidya Muthukumar, Ashwin Pananjady
Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits. CoRR (2021)
Wenshuo Guo, Fangwei Fu
Polynomial-Time Key Recovery Attack on the Lau-Tan Cryptosystem Based on Gabidulin Codes. CoRR (2021)
Wenshuo Guo, Michael I. Jordan, Manolis Zampetakis
Robust Learning of Optimal Auctions. CoRR (2021)
Wenshuo Guo, Kirthevasan Kandasamy, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica
Online Learning of Competitive Equilibria in Exchange Economies. CoRR (2021)
Wenshuo Guo, Fangwei Fu
Semilinear transformations in coding theory and their application to cryptography. IACR Cryptol. ePrint Arch. 2021 (2021)
Wenshuo Guo, Michael I. Jordan, Tianyi Lin
A Variational Inequality Approach to Bayesian Regression Games. CoRR (2021)
Wenshuo Guo, Fangwei Fu
Semilinear transformations in coding theory and their application to cryptography. CoRR (2021)
Wenshuo Guo, Michael I. Jordan, Tianyi Lin
A Variational Inequality Approach to Bayesian Regression Games. CDC (2021)
Celestine Mendler-Dünner, Wenshuo Guo, Stephen Bates, Michael I. Jordan
Test-time Collective Prediction. NeurIPS (2021)
Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg
The Stereotyping Problem in Collaboratively Filtered Recommender Systems. EAAMO (2021)
Wenshuo Guo, Fangwei Fu
Two modifications for Loidreau's code-based cryptosystem. IACR Cryptol. ePrint Arch. 2021 (2021)
Wenshuo Guo, Michael I. Jordan, Emmanouil Zampetakis
Robust Learning of Optimal Auctions. NeurIPS (2021)
Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht
Neural Kernels Without Tangents. CoRR (2020)
Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht
Neural Kernels Without Tangents. ICML (2020)
Wenshuo Guo, Nhat Ho, Michael I. Jordan
Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter. AISTATS (2020)
Serena Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan
Robust Optimization for Fairness with Noisy Protected Groups. CoRR (2020)
Serena Wang, Wenshuo Guo, Harikrishna Narasimhan, Andrew Cotter, Maya R. Gupta, Michael I. Jordan
Robust Optimization for Fairness with Noisy Protected Groups. NeurIPS (2020)
Wenshuo Guo, Mihaela Curmei, Serena Wang, Benjamin Recht, Michael I. Jordan
Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty. CoRR (2020)
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 (2020)
Harikrishna Narasimhan, Andrew Cotter, Yichen Zhou, Serena Wang, Wenshuo Guo
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models. NeurIPS (2020)
Wenshuo Guo, Nhat Ho, Michael I. Jordan
Accelerated Primal-Dual Coordinate Descent for Computational Optimal Transport. CoRR (2019)
Juntao Wang, Wenshuo Guo, Kwok Yip Szeto
Optimization of financial network stability by genetic algorithm. WI (2017)
Wenshuo Guo, Kwok Yip Szeto
Minimization of Systemic Risk for Directed Network Using Genetic Algorithm. EvoApplications (1) (2017)
Wenshuo Guo, Juntao Wang, Kwok Yip Szeto
Spin Model of Two Random Walkers in Complex Networks. COMPLEX NETWORKS (2017)