-
1
-
-
0037709910
-
The nonstochastic multiarmed bandit problem
-
Auer, Peter, Cesa-Bianchi, Nicolo, Freund, Yoav, and Schapire, Robert. The nonstochastic multiarmed bandit problem. SIAM Journal on Computing, 32 (1):48-77, 2003.
-
(2003)
SIAM Journal on Computing
, vol.32
, Issue.1
, pp. 48-77
-
-
Auer, P.1
Cesa-Bianchi, N.2
Freund, Y.3
Schapire, R.4
-
2
-
-
31844436676
-
Error limiting reductions between classification tasks
-
ACM
-
Beygelzimer, Alina, Dani, Varsha, Hayes, Thomas, Langford, John, and Zadrozny, Bianca. Error limiting reductions between classification tasks. In ICML. ACM, 2005.
-
(2005)
ICML
-
-
Beygelzimer, A.1
Dani, V.2
Hayes, T.3
Langford, J.4
Zadrozny, B.5
-
3
-
-
33750095613
-
Overview of due 2005
-
Dang, Hoa Trang. Overview of due 2005. In DUC, 2005.
-
(2005)
DUC
-
-
Dang, H.T.1
-
4
-
-
84872307432
-
Contextual sequence optimization with application to control library optimization
-
Drew
-
Dey, Debadeepta, Liu, Tian Yu, Hebert, Martial, and Bagnell, J. Andrew (Drew). Contextual sequence optimization with application to control library optimization. In RSS, 2012.
-
(2012)
RSS
-
-
Dey, D.1
Liu, T.Y.2
Hebert, M.3
Bagnell, J.A.4
-
5
-
-
80053189937
-
Maximizing non-monotone submodular functions
-
Feige, U., Mirrokni, V. S., and Vondrak, J. Maximizing non-monotone submodular functions. SIAM Journal on Computing, 40(4):1133-1153, 2011.
-
(2011)
SIAM Journal on Computing
, vol.40
, Issue.4
, pp. 1133-1153
-
-
Feige, U.1
Mirrokni, V.S.2
Vondrak, J.3
-
7
-
-
84877765715
-
Multiple choice learning: Learning to produce multiple structured outputs
-
Guzman-Rivera, Abner, Batra, Dhruv, and Kohli, Pushmeet. Multiple choice learning: Learning to produce multiple structured outputs. In NIPS, 2012.
-
(2012)
NIPS
-
-
Guzman-Rivera, A.1
Batra, D.2
Kohli, P.3
-
8
-
-
31844446804
-
A support vector method for multivariate performance measures
-
ACM
-
Joachims, Thorsten. A support vector method for multivariate performance measures. In ICML. ACM, 2005.
-
(2005)
ICML
-
-
Joachims, T.1
-
9
-
-
24644463787
-
Efficient algorithms for online decision problems
-
Kalai, Adam and Vempala, Santosh. Efficient algorithms for online decision problems. JCSS, 71(3): 291-307, 2005.
-
(2005)
JCSS
, vol.71
, Issue.3
, pp. 291-307
-
-
Kalai, A.1
Vempala, S.2
-
10
-
-
80053152925
-
Learning determinantal point processes
-
Kulesza, Alex and Taskar, Ben. Learning determinantal point processes. In UAI, 2011.
-
(2011)
UAI
-
-
Kulesza, A.1
Taskar, B.2
-
13
-
-
84859070008
-
A class of submodular functions for document summarization
-
Lin, Hui and Bilmes, Jeff. A class of submodular functions for document summarization. In ACL-HLT, 2011.
-
(2011)
ACL-HLT
-
-
Lin, H.1
Bilmes, J.2
-
14
-
-
84886074716
-
Learning mixtures of sub-modular shells with application to document summarization
-
Lin, Hui and Bilmes, Jeff. Learning mixtures of sub-modular shells with application to document summarization. In UAI, 2012.
-
(2012)
UAI
-
-
Lin, H.1
Bilmes, J.2
-
16
-
-
56449088596
-
Learning diverse rankings with multi-armed bandits
-
Radlinski, Filip, Kleinberg, Robert, and Joachims, Thorsten. Learning diverse rankings with multi-armed bandits. In ICML, 2008.
-
(2008)
ICML
-
-
Radlinski, F.1
Kleinberg, R.2
Joachims, T.3
-
17
-
-
84866033717
-
Online learning to diversify from implicit feedback
-
Raman, Karthik, Shivaswamy, Pannaga, and Joachims, Thorsten. Online learning to diversify from implicit feedback. In KDD, 2012.
-
(2012)
KDD
-
-
Raman, K.1
Shivaswamy, P.2
Joachims, T.3
-
18
-
-
85096785591
-
Chomp: Gradient optimization techniques for efficient motion planning
-
May
-
Ratliff, Nathan, Zucker, Matt, Bagnell, J. Andrew, and Srinivasa, Siddhartha. Chomp: Gradient optimization techniques for efficient motion planning. In ICRA, May 2009.
-
(2009)
ICRA
-
-
Ratliff, N.1
Zucker, M.2
Bagnell, J.A.3
Srinivasa, S.4
-
19
-
-
84867115891
-
Agnostic system identification for model-based reinforcement learning
-
Ross, Stephane and Bagnell, J. Andrew. Agnostic system identification for model-based reinforcement learning. In ICML, 2012.
-
(2012)
ICML
-
-
Ross, S.1
Bagnell, J.A.2
-
20
-
-
84867135104
-
A reduction of imitation learning and structured prediction to no-regret online learning
-
Ross, Stephane, Gordon, Geoff, and Bagnell, J. Andrew. A reduction of imitation learning and structured prediction to no-regret online learning. In AISTATS, 2011a.
-
(2011)
AISTATS
-
-
Ross, S.1
Gordon, G.2
Bagnell, J.A.3
-
21
-
-
80052872903
-
Learning message-passing inference machines for structured prediction
-
Ross, Stephane, Munoz, Daniel, Bagnell, J. Andrew, and Hebert, Martial. Learning message-passing inference machines for structured prediction. In CVPR, 2011b.
-
(2011)
CVPR
-
-
Ross, S.1
Munoz, D.2
Bagnell, J.A.3
Hebert, M.4
-
22
-
-
85047019092
-
An online algorithm for maximizing submodular functions
-
Streeter, M. and Golovin, D. An online algorithm for maximizing submodular functions. In NIPS, 2008.
-
(2008)
NIPS
-
-
Streeter, M.1
Golovin, D.2
-
24
-
-
85162539653
-
Linear submodular bandits and their application to diversified retrieval
-
Yue, Yisong and Guestrin, Carlos. Linear submodular bandits and their application to diversified retrieval. In NIPS, 2011.
-
(2011)
NIPS
-
-
Yue, Y.1
Guestrin, C.2
-
25
-
-
56449130129
-
Predicting diverse subsets using structural svms
-
Yue, Yisong and Joachims, Thorsten. Predicting diverse subsets using structural svms. In ICML, 2008.
-
(2008)
ICML
-
-
Yue, Y.1
Joachims, T.2
|