Wenshuo Guo - RankMe

50 papers A* 9A 4B 1Misc 2Journal 28Unranked 5

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