Conferences in DBLP
Luc Devroye Random Multivariate Search Trees. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:1- [Conf ] György Turán On Learning and Logic. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:2-3 [Conf ] Vladimir Vovk Predictions as Statements and Decisions. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:4- [Conf ] Shai Ben-David , Ulrike von Luxburg , Dávid Pál A Sober Look at Clustering Stability. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:5-19 [Conf ] Jon Feldman , Rocco A. Servedio , Ryan O'Donnell PAC Learning Axis-Aligned Mixtures of Gaussians with No Separation Assumption. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:20-34 [Conf ] Ran El-Yaniv , Dmitry Pechyony Stable Transductive Learning. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:35-49 [Conf ] Matthias Hein Uniform Convergence of Adaptive Graph-Based Regularization. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:50-64 [Conf ] Andreas Maurer The Rademacher Complexity of Linear Transformation Classes. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:65-78 [Conf ] Ingo Steinwart , Don R. Hush , Clint Scovel Function Classes That Approximate the Bayes Risk. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:79-93 [Conf ] Magalie Fromont , Christine Tuleau Functional Classification with Margin Conditions. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:94-108 [Conf ] Xing Sun , Andrew B. Nobel Significance and Recovery of Block Structures in Binary Matrices with Noise. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:109-122 [Conf ] Miroslav Dudík , Robert E. Schapire Maximum Entropy Distribution Estimation with Generalized Regularization. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:123-138 [Conf ] Yasemin Altun , Alexander J. Smola Unifying Divergence Minimization and Statistical Inference Via Convex Duality. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:139-153 [Conf ] Ha Quang Minh , Partha Niyogi , Yuan Yao Mercer's Theorem, Feature Maps, and Smoothing. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:154-168 [Conf ] Nathan Srebro , Shai Ben-David Learning Bounds for Support Vector Machines with Learned Kernels. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:169-183 [Conf ] Laurence Bisht , Nader H. Bshouty , Hanna Mazzawi On Optimal Learning Algorithms for Multiplicity Automata. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:184-198 [Conf ] Nader H. Bshouty , Hanna Mazzawi Exact Learning Composed Classes with a Small Number of Mistakes. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:199-213 [Conf ] Homin K. Lee , Rocco A. Servedio , Andrew Wan DNF Are Teachable in the Average Case. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:214-228 [Conf ] Frank Balbach , Thomas Zeugmann Teaching Randomized Learners. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:229-243 [Conf ] Lorenzo Carlucci , John Case , Sanjay Jain , Frank Stephan Memory-Limited U-Shaped Learning. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:244-258 [Conf ] Sanjay Jain , Efim B. Kinber On Learning Languages from Positive Data and a Limited Number of Short Counterexamples. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:259-273 [Conf ] François Denis , Yann Esposito , Amaury Habrard Learning Rational Stochastic Languages. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:274-288 [Conf ] Mikko Koivisto Parent Assignment Is Hard for the MDL, AIC, and NML Costs. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:289-303 [Conf ] Jeffrey C. Jackson Uniform-Distribution Learnability of Noisy Linear Threshold Functions with Restricted Focus of Attention. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:304-318 [Conf ] Philip M. Long , Rocco A. Servedio Discriminative Learning Can Succeed Where Generative Learning Fails. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:319-334 [Conf ] Adam R. Klivans , Alexander A. Sherstov Improved Lower Bounds for Learning Intersections of Halfspaces. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:335-349 [Conf ] Lance Fortnow , Adam R. Klivans Efficient Learning Algorithms Yield Circuit Lower Bounds. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:350-363 [Conf ] Guillaume Lecué Optimal Oracle Inequality for Aggregation of Classifiers Under Low Noise Condition. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:364-378 [Conf ] Florentina Bunea , Alexandre B. Tsybakov , Marten H. Wegkamp Aggregation and Sparsity Via l _{1} Penalized Least Squares. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:379-391 [Conf ] Jean-Yves Audibert A Randomized Online Learning Algorithm for Better Variance Control. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:392-407 [Conf ] Shie Mannor , Nahum Shimkin Online Learning with Variable Stage Duration. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:408-422 [Conf ] Shai Shalev-Shwartz , Yoram Singer Online Learning Meets Optimization in the Dual. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:423-437 [Conf ] Koby Crammer Online Tracking of Linear Subspaces. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:438-452 [Conf ] Ofer Dekel , Philip M. Long , Yoram Singer Online Multitask Learning. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:453-467 [Conf ] András György , Tamás Linder , György Ottucsák The Shortest Path Problem Under Partial Monitoring. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:468-482 [Conf ] Nicolò Cesa-Bianchi , Claudio Gentile Tracking the Best Hyperplane with a Simple Budget Perceptron. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:483-498 [Conf ] Elad Hazan , Adam Kalai , Satyen Kale , Amit Agarwal Logarithmic Regret Algorithms for Online Convex Optimization. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:499-513 [Conf ] Manfred K. Warmuth , Dima Kuzmin Online Variance Minimization. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:514-528 [Conf ] Shie Mannor , John N. Tsitsiklis Online Learning with Constraints. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:529-543 [Conf ] Jacob Abernethy , John Langford , Manfred K. Warmuth Continuous Experts and the Binning Algorithm. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:544-558 [Conf ] Vladimir Vovk Competing with Wild Prediction Rules. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:559-573 [Conf ] András Antos , Csaba Szepesvári , Rémi Munos Learning Near-Optimal Policies with Bellman-Residual Minimization Based Fitted Policy Iteration and a Single Sample Path. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:574-588 [Conf ] Cynthia Rudin Ranking with a P-Norm Push. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:589-604 [Conf ] David Cossock , Tong Zhang Subset Ranking Using Regression. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:605-619 [Conf ] Shai Fine , Yishay Mansour Active Sampling for Multiple Output Identification. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:620-634 [Conf ] Ping Li , Trevor Hastie , Kenneth Ward Church Improving Random Projections Using Marginal Information. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:635-649 [Conf ] Claire Monteleoni Efficient Algorithms for General Active Learning. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:650-652 [Conf ] Manfred K. Warmuth Can Entropic Regularization Be Replaced by Squared Euclidean Distance Plus Additional Linear Constraints. [Citation Graph (0, 0)][DBLP ] COLT, 2006, pp:653-654 [Conf ]