| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 2 | Yiling Chen, Jennifer Wortman Vaughan |
A new understanding of prediction markets via no-regret learning.  |
ACM Conference on Electronic Commerce  |
2010 |
DBLP DOI BibTeX RDF |
follow the regularized leader, prediction with expert advice, online learning, prediction markets, market scoring rules |
| 2 | Jan-P. Calliess |
On Fixed Convex Combinations of No-Regret Learners.  |
MLDM  |
2009 |
DBLP DOI BibTeX RDF |
|
| 2 | Michael Dinitz |
Brief announcement: distributed algorithms for approximating wireless network capacity.  |
PODC  |
2009 |
DBLP DOI BibTeX RDF |
no-regret, approximation algorithms, distributed algorithms, network capacity |
| 2 | Nie Nie, Cristina Comaniciu |
Adaptive Channel Allocation Spectrum Etiquette for Cognitive Radio Networks.  |
MONET  |
2006 |
DBLP DOI BibTeX RDF |
potential game, no-regret learning, cognitive radio, channel allocation |
| 2 | Bikramjit Banerjee, Jing Peng |
Unifying Convergence and No-Regret in Multiagent Learning.  |
LAMAS  |
2005 |
DBLP DOI BibTeX RDF |
|
| 2 | Amy Greenwald, Amir Jafari |
A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria.  |
COLT  |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Federico Larroca, Jean-Louis Rougier |
Minimum delay load-balancing via nonparametric regression and no-regret algorithms.  |
Computer Networks  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Jacob Abernethy, Peter L. Bartlett, Elad Hazan |
Blackwell Approachability and No-Regret Learning are Equivalent.  |
Journal of Machine Learning Research - Proceedings Track  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Stéphane Ross, Geoffrey J. Gordon, Drew Bagnell |
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning.  |
Journal of Machine Learning Research - Proceedings Track  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Constantinos Daskalakis, Alan Deckelbaum, Anthony Kim |
Near-Optimal No-Regret Algorithms for Zero-Sum Games.  |
SODA  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Jin Li, Chi Zhang, Weiyi Liu, Kun Yue |
No Regret Learning for Sensor Relocation in Mobile Sensor Networks.  |
ICICA (LNCS)  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Stéphane Ross, Geoffrey J. Gordon, J. Andrew Bagnell |
No-Regret Reductions for Imitation Learning and Structured Prediction  |
CoRR  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Vianney Perchet |
Calibration and Internal no-Regret with Partial Monitoring  |
CoRR  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Yiling Chen, Jennifer Wortman Vaughan |
A New Understanding of Prediction Markets Via No-Regret Learning  |
CoRR  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Jin Li, Zhou Shi, Wei-Yi Liu, Kun Yue, Rui-Jie Chen |
No-regret learning for cost constrained resource selection game.  |
ICNC  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Q. Zhu, Z. Han, T. Basar |
No-Regret Learning in Collaborative Spectrum Sensing with Malicious Nodes.  |
ICC  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Uri Nadav, Georgios Piliouras |
No Regret Learning in Oligopolies: Cournot vs. Bertrand.  |
SAGT  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Niranjan Srinivas, Andreas Krause, Sham Kakade, Matthias Seeger |
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design.  |
ICML  |
2010 |
DBLP BibTeX RDF |
|
| 1 | Mu Li, James T. Kwok, Bao-Liang Lu |
Online multiple instance learning with no regret.  |
CVPR  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Lin Chen |
A Distributed Access Point Selection Algorithm Based on No-Regret Learning for Wireless Access Networks.  |
VTC Spring  |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Daniel Golovin, Matthew Faulkner, Andreas Krause |
Online distributed sensor selection.  |
IPSN  |
2010 |
DBLP DOI BibTeX RDF |
distributed multiarmed bandit algorithms, submodular optimization, sensor networks, approximation algorithms |
| 1 | Anna Gambin, Ewa Szczurek, Janusz Dutkowski, Magda Bakun, Michal Dadlez |
Classification of peptide mass fingerprint data by novel no-regret boosting method.  |
Comp. in Bio. and Med.  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Vianney Perchet |
Calibration and Internal No-Regret with Random Signals.  |
ALT  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Robert Kleinberg, Georgios Piliouras, Éva Tardos |
Multiplicative updates outperform generic no-regret learning in congestion games: extended abstract.  |
STOC  |
2009 |
DBLP DOI BibTeX RDF |
game theory, price of anarchy, learning theory |
| 1 | Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos Guestrin |
Turning down the noise in the blogosphere.  |
KDD  |
2009 |
DBLP DOI BibTeX RDF |
personalization, blogs |
| 1 | Robert D. Kleinberg, Georgios Piliouras, Éva Tardos |
Load balancing without regret in the bulletin board model.  |
PODC  |
2009 |
DBLP DOI BibTeX RDF |
game theory, price of anarchy, learning theory |
| 1 | Geoffrey J. Gordon, Amy Greenwald, Casey Marks |
No-regret learning in convex games.  |
ICML  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Jan-P. Calliess, Geoffrey J. Gordon |
No-regret learning and a mechanism for distributed multiagent planning.  |
AAMAS  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Christian Borgs, Jennifer T. Chayes, Nicole Immorlica, Adam Tauman Kalai, Vahab S. Mirrokni, Christos H. Papadimitriou |
The myth of the folk theorem.  |
STOC  |
2008 |
DBLP DOI BibTeX RDF |
folk theorem, ppad, nash equilibrium |
| 1 | Aaron Roth |
The Price of Malice in Linear Congestion Games.  |
WINE  |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Eyal Even-Dar, Michael Kearns, Yishay Mansour, Jennifer Wortman |
Regret to the best vs. regret to the average.  |
Machine Learning  |
2008 |
DBLP DOI BibTeX RDF |
Prediction with expert advice, Lower bounds, Online learning, Regret minimization |
| 1 | Yu-Han Chang |
No regrets about no-regret.  |
Artif. Intell.  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhu Han, Charles Pandana, K. J. Ray Liu |
Distributive Opportunistic Spectrum Access for Cognitive Radio using Correlated Equilibrium and No-Regret Learning.  |
WCNC  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Anna Gambin, Ewa Szczurek |
No-Regret Boosting.  |
ICANNGA  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Elad Hazan, Satyen Kale |
Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria.  |
NIPS  |
2007 |
DBLP BibTeX RDF |
|
| 1 | Jason R. Marden, Gürdal Arslan, Jeff S. Shamma |
Regret based dynamics: convergence in weakly acyclic games.  |
AAMAS  |
2007 |
DBLP DOI BibTeX RDF |
game theory, learning algorithms, emergent behavior, multiagent learning, cooperative distributed problem solving |
| 1 | Eyal Even-Dar, Michael J. Kearns, Yishay Mansour, Jennifer Wortman |
Regret to the Best vs. Regret to the Average.  |
COLT  |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Bikramjit Banerjee, Jing Peng |
Generalized multiagent learning with performance bound.  |
Autonomous Agents and Multi-Agent Systems  |
2007 |
DBLP DOI BibTeX RDF |
Multiagent reinforcement learning, Game theory |
| 1 | Geoffrey J. Gordon |
No-regret Algorithms for Online Convex Programs.  |
NIPS  |
2006 |
DBLP BibTeX RDF |
|
| 1 | Avrim Blum, Eyal Even-Dar, Katrina Ligett |
Routing without regret: on convergence to nash equilibria of regret-minimizing algorithms in routing games.  |
PODC  |
2006 |
DBLP DOI BibTeX RDF |
game theory, network games |
| 1 | Eyal Even-Dar, Michael J. Kearns, Jennifer Wortman |
Risk-Sensitive Online Learning.  |
ALT  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Shie Mannor, Nahum Shimkin |
Online Learning with Variable Stage Duration.  |
COLT  |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Bikramjit Banerjee, Jing Peng |
Efficient No-Regret Multiagent Learning.  |
AAAI  |
2005 |
DBLP BibTeX RDF |
|
| 1 | Michael H. Bowling |
Convergence and No-Regret in Multiagent Learning.  |
NIPS ![In: Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, NIPS 2004, December 13-18, 2004, Vancouver, British Columbia, Canada], 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP BibTeX RDF |
|
| 1 | Ehud Lehrer |
A wide range no-regret theorem.  |
Games and Economic Behavior  |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | O. Nakoulima, Abdennebi Omrane, J. Velin |
On the Pareto Control and No-Regret Control for Distributed Systems with Incomplete Data.  |
SIAM J. Control and Optimization  |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Michael L. Littman |
Tutorial: Learning Topics in Game-Theoretic Decision Making.  |
COLT  |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Amir Jafari, Amy Greenwald, David Gondek, Gunes Ercal |
On No-Regret Learning, Fictitious Play, and Nash Equilibrium.  |
ICML  |
2001 |
DBLP BibTeX RDF |
|
| 1 | Amy Greenwald, Jeffrey O. Kephart |
Probabilistic pricebots.  |
Agents  |
2001 |
DBLP DOI BibTeX RDF |
economic software agents, pricebots, shopbots |