Benjamin Van Roy

	2009
36		Benjamin Van Roy, Xiang Yan: Manipulation-resistant collaborative filtering systems. RecSys 2009: 165-172
35		Xiang Yan, Benjamin Van Roy: Manipulation Robustness of Collaborative Filtering Systems CoRR abs/0903.0064: (2009)
	2008
34		Xiang Yan, Benjamin Van Roy: Reputation markets. NetEcon 2008: 79-84
33		Haim H. Permuter, Paul Cuff, Benjamin Van Roy, Tsachy Weissman: Capacity of the Trapdoor Channel With Feedback. IEEE Transactions on Information Theory 54(7): 3150-3165 (2008)
	2007
32		Vivek F. Farias, Ciamac Cyrus Moallemi, Tsachy Weissman, Benjamin Van Roy: Universal Reinforcement Learning CoRR abs/0707.3087: (2007)
31		Benjamin Van Roy: A short proof of optimality for the MIN cache replacement algorithm. Inf. Process. Lett. 102(2-3): 72-73 (2007)
	2006
30		Ciamac Cyrus Moallemi, Benjamin Van Roy: Convergence of the Min-Sum Message Passing Algorithm for Quadratic Optimization CoRR abs/cs/0603058: (2006)
29		Ciamac Cyrus Moallemi, Benjamin Van Roy: Consensus Propagation CoRR abs/cs/0603078: (2006)
28		Haim H. Permuter, Paul Cuff, Benjamin Van Roy, Tsachy Weissman: Capacity of the Trapdoor Channel with Feedback CoRR abs/cs/0610047: (2006)
27		David Choi, Benjamin Van Roy: A Generalized Kalman Filter for Fixed Point Approximation and Efficient Temporal-Difference Learning. Discrete Event Dynamic Systems 16(2): 207-239 (2006)
26		Ciamac Cyrus Moallemi, Benjamin Van Roy: Consensus Propagation. IEEE Transactions on Information Theory 52(11): 4753-4766 (2006)
25		Benjamin Van Roy: Performance Loss Bounds for Approximate Value Iteration with State Aggregation. Math. Oper. Res. 31(2): 234-244 (2006)
24		Daniela Pucci de Farias, Benjamin Van Roy: A Cost-Shaping Linear Program for Average-Cost Approximate Dynamic Programming with Performance Guarantees. Math. Oper. Res. 31(3): 597-620 (2006)
23		Vivek F. Farias, Benjamin Van Roy: Approximation algorithms for dynamic resource allocation. Oper. Res. Lett. 34(2): 180-190 (2006)
22		Paat Rusmevichientong, Benjamin Van Roy, Peter W. Glynn: A Nonparametric Approach to Multiproduct Pricing. Operations Research 54(1): 82-98 (2006)
	2005
21		Ciamac Cyrus Moallemi, Benjamin Van Roy: Consensus Propagation. NIPS 2005
20		Gabriel Y. Weintraub, C. Lanier Benkard, Benjamin Van Roy: Oblivious Equilibrium: A Mean Field Approximation for Large-Scale Dynamic Games. NIPS 2005
19		Benjamin Van Roy: TD(0) Leads to Better Policies than Approximate Value Iteration. NIPS 2005
	2004
18		Daniela Pucci de Farias, Benjamin Van Roy: A Cost-Shaping LP for Bellman Error Minimization with Performance Guarantees. NIPS 2004
17		Xiang Yan, Persi Diaconis, Paat Rusmevichientong, Benjamin Van Roy: Solitaire: Man Versus Machine. NIPS 2004
16		Hui Zhang, Ashish Goel, Ramesh Govindan, Kahn Mason, Benjamin Van Roy: Making Eigenvector-Based Reputation Systems Robust to Collusion. WAW 2004: 92-104
15		Daniela Pucci de Farias, Benjamin Van Roy: On Constraint Sampling in the Linear Programming Approach to Approximate Dynamic Programming. Math. Oper. Res. 29(3): 462-478 (2004)
	2003
14		Ciamac Cyrus Moallemi, Benjamin Van Roy: Distributed Optimization in Adaptive Networks. NIPS 2003
13		Daniela Pucci de Farias, Benjamin Van Roy: The Linear Programming Approach to Approximate Dynamic Programming. Operations Research 51(6): 850-865 (2003)
	2002
12		Daniela Pucci de Farias, Benjamin Van Roy: Approximate Linear Programming for Average-Cost Dynamic Programming. NIPS 2002: 1587-1594
11		John N. Tsitsiklis, Benjamin Van Roy: On Average Versus Discounted Reward Temporal-Difference Learning. Machine Learning 49(2-3): 179-191 (2002)
	2001
10		David Choi, Benjamin Van Roy: A Generalized Kalman Filter for Fixed Point Approximation and Efficient Temporal Difference Learning. ICML 2001: 43-50
9		Daniela Pucci de Farias, Benjamin Van Roy: Approximate Dynamic Programming via Linear Programming. NIPS 2001: 689-695
8		Paat Rusmevichientong, Benjamin Van Roy: A Tractable POMDP for Dynamic Sequencing with Applications to Personalized Internet Content Provision. UAI 2001: 480-487
7		Paat Rusmevichientong, Benjamin Van Roy: An analysis of belief propagation on the turbo decoding graph with Gaussian densities. IEEE Transactions on Information Theory 47(2): 745-765 (2001)
	2000
6		Daniela Pucci de Farias, Benjamin Van Roy: Fixed Points of Approximate Value Iteration and Temporal-Difference Learning. ICML 2000: 207-214
	1999
5		Paat Rusmevichientong, Benjamin Van Roy: An Analysis of Turbo Decoding with Gaussian Densities. NIPS 1999: 575-581
	1996
4		John N. Tsitsiklis, Benjamin Van Roy: Analysis of Temporal-Diffference Learning with Function Approximation. NIPS 1996: 1075-1081
3		John N. Tsitsiklis, Benjamin Van Roy: Approximate Solutions to Optimal Stopping Problems. NIPS 1996: 1082-1088
2		John N. Tsitsiklis, Benjamin Van Roy: Feature-Based Methods for Large Scale Dynamic Programming. Machine Learning 22(1-3): 59-94 (1996)
	1995
1		Benjamin Van Roy, John N. Tsitsiklis: Stable LInear Approximations to Dynamic Programming for Stochastic Control Problems with Local Transitions. NIPS 1995: 1045-1051

Coauthor Index

1	C. Lanier Benkard	[20]
2	David Choi	[10] [27]
3	Paul Cuff	[28] [33]
4	Persi Diaconis	[17]
5	Daniela Pucci de Farias	[6] [9] [12] [13] [15] [18] [24]
6	Vivek F. Farias	[23] [32]
7	Peter W. Glynn	[22]
8	Ashish Goel	[16]
9	Ramesh Govindan	[16]
10	Kahn Mason	[16]
11	Ciamac Cyrus Moallemi	[14] [21] [26] [29] [30] [32]
12	Haim H. Permuter	[28] [33]
13	Paat Rusmevichientong	[5] [7] [8] [17] [22]
14	John N. Tsitsiklis	[1] [2] [3] [4] [11]
15	Gabriel Y. Weintraub	[20]
16	Tsachy Weissman	[28] [32] [33]
17	Xiang Yan	[17] [34] [35] [36]
18	Hui Zhang	[16]

Colors in the list of coauthors