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Publication search results
found 52 matches
- 2013
- Ittai Abraham, Omar Alonso, Vasilis Kandylas, Aleksandrs Slivkins:
Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem. COLT 2013: 882-910 - Jayadev Acharya, Ashkan Jafarpour, Alon Orlitsky, Ananda Theertha Suresh:
Optimal Probability Estimation with Applications to Prediction and Classification. COLT 2013: 764-796 - Shivani Agarwal:
Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses. COLT 2013: 338-353 - Animashree Anandkumar, Rong Ge, Daniel J. Hsu, Sham M. Kakade:
A Tensor Spectral Approach to Learning Mixed Membership Community Models. COLT 2013: 867-881 - Oren Anava, Elad Hazan, Shie Mannor, Ohad Shamir:
Online Learning for Time Series Prediction. COLT 2013: 172-184 - Joseph Anderson, Navin Goyal, Luis Rademacher:
Efficient Learning of Simplices. COLT 2013: 1020-1045 - Lachlan L. H. Andrew, Siddharth Barman, Katrina Ligett, Minghong Lin, Adam Meyerson, Alan Roytman, Adam Wierman:
A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret. COLT 2013: 741-763 - Pranjal Awasthi, Vitaly Feldman, Varun Kanade:
Learning Using Local Membership Queries. COLT 2013: 398-431 - Francis R. Bach:
Sharp analysis of low-rank kernel matrix approximations. COLT 2013: 185-209 - Maria-Florina Balcan, Philip M. Long:
Active and passive learning of linear separators under log-concave distributions. COLT 2013: 288-316 - Peter L. Bartlett, Peter Grünwald, Peter Harremoës, Fares Hedayati, Wojciech Kotlowski:
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families. COLT 2013: 639-661 - Gábor Bartók:
A near-optimal algorithm for finite partial-monitoring games against adversarial opponents. COLT 2013: 696-710 - Mikhail Belkin, Luis Rademacher, James R. Voss:
Blind Signal Separation in the Presence of Gaussian Noise. COLT 2013: 270-287 - Andrey Bernstein, Shie Mannor, Nahum Shimkin:
Opportunistic Strategies for Generalized No-Regret Problems. COLT 2013: 158-171 - Quentin Berthet, Philippe Rigollet:
Complexity Theoretic Lower Bounds for Sparse Principal Component Detection. COLT 2013: 1046-1066 - Sébastien Bubeck, Vianney Perchet, Philippe Rigollet:
Bounded regret in stochastic multi-armed bandits. COLT 2013: 122-134 - Chao-Kai Chiang, Chia-Jung Lee, Chi-Jen Lu:
Beating Bandits in Gradually Evolving Worlds. COLT 2013: 210-227 - Sung-Soon Choi:
Polynomial Time Optimal Query Algorithms for Finding Graphs with Arbitrary Real Weights. COLT 2013: 797-818 - Amit Daniely, Tom Helbertal:
The price of bandit information in multiclass online classification. COLT 2013: 93-104 - Sanjoy Dasgupta, Kaushik Sinha:
Randomized partition trees for exact nearest neighbor search. COLT 2013: 317-337 - Luc Devroye, Gábor Lugosi, Gergely Neu:
Prediction by random-walk perturbation. COLT 2013: 460-473 - Vitaly Feldman, Pravesh Kothari, Jan Vondrák:
Representation, Approximation and Learning of Submodular Functions Using Low-rank Decision Trees. COLT 2013: 711-740 - Claudio Gentile, Mark Herbster, Stephen Pasteris:
Online Similarity Prediction of Networked Data from Known and Unknown Graphs. COLT 2013: 662-695 - Eyal Gofer, Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour:
Regret Minimization for Branching Experts. COLT 2013: 618-638 - Wei Han, Alexander Rakhlin, Karthik Sridharan:
Competing With Strategies. COLT 2013: 966-992 - Moritz Hardt, Ankur Moitra:
Algorithms and Hardness for Robust Subspace Recovery. COLT 2013: 354-375 - Marcus Hutter:
Sparse Adaptive Dirichlet-Multinomial-like Processes. COLT 2013: 432-459 - Daniel M. Kane, Adam R. Klivans, Raghu Meka:
Learning Halfspaces Under Log-Concave Densities: Polynomial Approximations and Moment Matching. COLT 2013: 522-545 - Emilie Kaufmann, Shivaram Kalyanakrishnan:
Information Complexity in Bandit Subset Selection. COLT 2013: 228-251 - Wouter M. Koolen, Jiazhong Nie, Manfred K. Warmuth:
Learning a set of directions. COLT 2013: 851-866
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