William B. Haskell

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 37

Top Topics

Markov Decision Processes

Stochastic Dominance

Dynamic Programming

Top Venues

IEEE Trans. Autom. Control.

Ann. Oper. Res.

Publications

Le Thi Khanh Hien, Renbo Zhao, William B. Haskell
An Inexact Primal-Dual Smoothing Framework for Large-Scale Non-Bilinear Saddle Point Problems. J. Optim. Theory Appl. 200 (1) (2024)
Bo Wei, William B. Haskell, Sixiang Zhao
Correction to: The CoMirror algorithm with random constraint sampling for convex semi-infinite programming. Ann. Oper. Res. 332 (1) (2024)
Xuejun Zhao, William B. Haskell, Guodong Yu
Supply Chain Contracts in the Small Data Regime. Manuf. Serv. Oper. Manag. 26 (4) (2024)
Jukka Isohätälä, William B. Haskell
Risk Aware Minimum Principle for Optimal Control of Stochastic Differential Equations. IEEE Trans. Autom. Control. 67 (10) (2022)
William B. Haskell, Huifu Xu, Wenjie Huang
Preference Robust Optimization for Choice Functions on the Space of CDFs. SIAM J. Optim. 32 (2) (2022)
Shiping Shao, Abhishek Gupta, William B. Haskell
Robustness to Modeling Errors in Risk-Sensitive Markov Decision Problems with Markov Risk Measures. CoRR (2022)
Xuejun Zhao, Ruihao Zhu, William B. Haskell
Learning to Price Supply Chain Contracts against a Learning Retailer. CoRR (2022)
Xun Zhang, William B. Haskell, Zhisheng Ye
A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators. J. Mach. Learn. Res. 23 (2022)
Abhishek Gupta, William B. Haskell
Convergence of Recursive Stochastic Algorithms Using Wasserstein Divergence. SIAM J. Math. Data Sci. 3 (4) (2021)
Wenjie Huang, William B. Haskell
Stochastic Approximation for Risk-Aware Markov Decision Processes. IEEE Trans. Autom. Control. 66 (3) (2021)
Bo Wei, William B. Haskell, Sixiang Zhao
An inexact primal-dual algorithm for semi-infinite programming. Math. Methods Oper. Res. 91 (3) (2020)
William B. Haskell, Rahul Jain, Hiteshi Sharma, Pengqian Yu
A Universal Empirical Dynamic Programming Algorithm for Continuous State MDPs. IEEE Trans. Autom. Control. 65 (1) (2020)
Bo Wei, William B. Haskell, Sixiang Zhao
The CoMirror algorithm with random constraint sampling for convex semi-infinite programming. Ann. Oper. Res. 295 (2) (2020)
Abhishek Gupta, William B. Haskell
Convergence of Recursive Stochastic Algorithms using Wasserstein Divergence. CoRR (2020)
Hiteshi Sharma, Rahul Jain, William B. Haskell
Empirical Algorithms for General Stochastic Systems with Continuous States and Actions. CDC (2019)
Xun Zhang, William B. Haskell, Zhisheng Ye
A Unifying Framework for Variance Reduction Algorithms for Finding Zeroes of Monotone Operators. CoRR (2019)
Renbo Zhao, William B. Haskell, Vincent Y. F. Tan
An Optimal Algorithm for Stochastic Three-Composite Optimization. AISTATS (2019)
Renbo Zhao, William B. Haskell, Vincent Y. F. Tan
Stochastic L-BFGS: Improved Convergence Rates and Practical Acceleration Strategies. IEEE Trans. Signal Process. 66 (5) (2018)
Pengqian Yu, William B. Haskell, Huan Xu
Approximate Value Iteration for Risk-Aware Markov Decision Processes. IEEE Trans. Autom. Control. 63 (9) (2018)
Zhi Chen, Pengqian Yu, William B. Haskell
Distributionally Robust Optimization for Sequential Decision Making. CoRR (2018)
William B. Haskell, Alejandro Toriello
Modeling Stochastic Dominance as Infinite-Dimensional Constraint Systems via the Strassen Theorem. J. Optim. Theory Appl. 178 (3) (2018)
Renbo Zhao, William B. Haskell, Jiashi Feng
A Unified Framework for Stochastic Matrix Factorization via Variance Reduction. CoRR (2017)
Pengqian Yu, William B. Haskell, Huan Xu
Dynamic programming for risk-aware sequential optimization. CDC (2017)
Pengqian Yu, William B. Haskell, Huan Xu
Approximate Value Iteration for Risk-aware Markov Decision Processes. CoRR (2017)
Le Thi Khanh Hien, William B. Haskell
Sequential smoothing framework for convex-concave saddle point problems with application to large-scale constrained optimization. Allerton (2017)
William B. Haskell, Rahul Jain
A random monotone operator framework for strongly convex stochastic optimization. CDC (2017)
William B. Haskell, Pengqian Yu, Hiteshi Sharma, Rahul Jain
Randomized function fitting-based empirical value iteration. CDC (2017)
William B. Haskell, J. George Shanthikumar, Zuo-Jun Max Shen
Primal-Dual Algorithms for Optimization with Stochastic Dominance. SIAM J. Optim. 27 (1) (2017)
William B. Haskell, Rahul Jain
Inexact iteration of averaged operators for non-strongly convex stochastic optimization. Allerton (2017)
Renbo Zhao, William B. Haskell, Vincent Y. F. Tan
Stochastic L-BFGS Revisited: Improved Convergence Rates and Practical Acceleration Strategies. UAI (2017)
Renbo Zhao, William B. Haskell, Vincent Y. F. Tan
Stochastic L-BFGS Revisited: Improved Convergence Rates and Practical Acceleration Strategies. CoRR (2017)
William B. Haskell, J. George Shanthikumar, Zuo-Jun Max Shen
Aspects of optimization with stochastic dominance. Ann. Oper. Res. 253 (1) (2017)
Jukka Isohataia, William B. Haskell
Risk-aware semi-Markov decision processes. CDC (2017)
Joshua Woodruff, William B. Haskell, Alejandro Toriello
Optimized Financial Systems Helps Customers Meet Their Personal Finance Goals with Optimization. Interfaces 46 (4) (2016)
William B. Haskell, Lunce Fu, Maged M. Dessouky
Ambiguity in risk preferences in robust stochastic optimization. Eur. J. Oper. Res. 254 (1) (2016)
William B. Haskell, Rahul Jain, Hiteshi Sharma
A dynamical systems framework for stochastic iterative optimization. CDC (2016)
William B. Haskell, Rahul Jain, Dileep M. Kalathil
Empirical Dynamic Programming. Math. Oper. Res. 41 (2) (2016)
Yundi Qian, William B. Haskell, Milind Tambe
Robust Strategy against Unknown Risk-averse Attackers in Security Games. AAMAS (2015)
William B. Haskell, Rahul Jain
A Convex Analytic Approach to Risk-Aware Markov Decision Processes. SIAM J. Control. Optim. 53 (3) (2015)
Alejandro Toriello, William B. Haskell, Michael Poremba
A Dynamic Traveling Salesman Problem with Stochastic Arc Costs. Oper. Res. 62 (5) (2014)
Yundi Qian, William B. Haskell, Albert Xin Jiang, Milind Tambe
Online planning for optimal protector strategies in resource conservation games. AAMAS (2014)
William B. Haskell, Debarun Kar, Fei Fang, Milind Tambe, Sam Cheung, Elizabeth Denicola
Robust Protection of Fisheries with COmPASS. AAAI (2014)
William B. Haskell, Rahul Jain, Dileep M. Kalathil
Empirical policy iteration for approximate dynamic programming. CDC (2014)
William B. Haskell, Rahul Jain, Dileep M. Kalathil
Empirical Value Iteration for approximate dynamic programming. ACC (2014)
Matthew Brown, William B. Haskell, Milind Tambe
Addressing Scalability and Robustness in Security Games with Multiple Boundedly Rational Adversaries. GameSec (2014)
Jun-young Kwak, Debarun Kar, William B. Haskell, Pradeep Varakantham, Milind Tambe
Building THINC: user incentivization and meeting rescheduling for energy savings. AAMAS (2014)
William B. Haskell, J. George Shanthikumar, Zuo-Jun Max Shen
Optimization with a class of multivariate integral stochastic order constraints. Ann. Oper. Res. 206 (1) (2013)
William B. Haskell, Rahul Jain
Stochastic Dominance-Constrained Markov Decision Processes. SIAM J. Control. Optim. 51 (1) (2013)
William B. Haskell, Rahul Jain
Dominance-constrained Markov decision processes. CDC (2012)