Conferences in DBLP
Luc Devroye Random Multivariate Search Trees. [Citation Graph (0, 0)][DBLP ] Conf ] György Turán On Learning and Logic. [Citation Graph (0, 0)][DBLP ] Conf ] Vladimir Vovk Predictions as Statements and Decisions. [Citation Graph (0, 0)][DBLP ] Conf ] Shai Ben-David , Ulrike von Luxburg , Dávid Pál A Sober Look at Clustering Stability. [Citation Graph (0, 0)][DBLP ] 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 ] Conf ] Ran El-Yaniv , Dmitry Pechyony Stable Transductive Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Matthias Hein Uniform Convergence of Adaptive Graph-Based Regularization. [Citation Graph (0, 0)][DBLP ] Conf ] Andreas Maurer The Rademacher Complexity of Linear Transformation Classes. [Citation Graph (0, 0)][DBLP ] Conf ] Ingo Steinwart , Don R. Hush , Clint Scovel Function Classes That Approximate the Bayes Risk. [Citation Graph (0, 0)][DBLP ] Conf ] Magalie Fromont , Christine Tuleau Functional Classification with Margin Conditions. [Citation Graph (0, 0)][DBLP ] Conf ] Xing Sun , Andrew B. Nobel Significance and Recovery of Block Structures in Binary Matrices with Noise. [Citation Graph (0, 0)][DBLP ] Conf ] Miroslav Dudík , Robert E. Schapire Maximum Entropy Distribution Estimation with Generalized Regularization. [Citation Graph (0, 0)][DBLP ] Conf ] Yasemin Altun , Alexander J. Smola Unifying Divergence Minimization and Statistical Inference Via Convex Duality. [Citation Graph (0, 0)][DBLP ] Conf ] Ha Quang Minh , Partha Niyogi , Yuan Yao Mercer's Theorem, Feature Maps, and Smoothing. [Citation Graph (0, 0)][DBLP ] Conf ] Nathan Srebro , Shai Ben-David Learning Bounds for Support Vector Machines with Learned Kernels. [Citation Graph (0, 0)][DBLP ] Conf ] Laurence Bisht , Nader H. Bshouty , Hanna Mazzawi On Optimal Learning Algorithms for Multiplicity Automata. [Citation Graph (0, 0)][DBLP ] Conf ] Nader H. Bshouty , Hanna Mazzawi Exact Learning Composed Classes with a Small Number of Mistakes. [Citation Graph (0, 0)][DBLP ] Conf ] Homin K. Lee , Rocco A. Servedio , Andrew Wan DNF Are Teachable in the Average Case. [Citation Graph (0, 0)][DBLP ] Conf ] Frank Balbach , Thomas Zeugmann Teaching Randomized Learners. [Citation Graph (0, 0)][DBLP ] Conf ] Lorenzo Carlucci , John Case , Sanjay Jain , Frank Stephan Memory-Limited U-Shaped Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Sanjay Jain , Efim B. Kinber On Learning Languages from Positive Data and a Limited Number of Short Counterexamples. [Citation Graph (0, 0)][DBLP ] Conf ] François Denis , Yann Esposito , Amaury Habrard Learning Rational Stochastic Languages. [Citation Graph (0, 0)][DBLP ] Conf ] Mikko Koivisto Parent Assignment Is Hard for the MDL, AIC, and NML Costs. [Citation Graph (0, 0)][DBLP ] Conf ] Jeffrey C. Jackson Uniform-Distribution Learnability of Noisy Linear Threshold Functions with Restricted Focus of Attention. [Citation Graph (0, 0)][DBLP ] Conf ] Philip M. Long , Rocco A. Servedio Discriminative Learning Can Succeed Where Generative Learning Fails. [Citation Graph (0, 0)][DBLP ] Conf ] Adam R. Klivans , Alexander A. Sherstov Improved Lower Bounds for Learning Intersections of Halfspaces. [Citation Graph (0, 0)][DBLP ] Conf ] Lance Fortnow , Adam R. Klivans Efficient Learning Algorithms Yield Circuit Lower Bounds. [Citation Graph (0, 0)][DBLP ] Conf ] Guillaume Lecué Optimal Oracle Inequality for Aggregation of Classifiers Under Low Noise Condition. [Citation Graph (0, 0)][DBLP ] Conf ] Florentina Bunea , Alexandre B. Tsybakov , Marten H. Wegkamp Aggregation and Sparsity Via l 1 Penalized Least Squares. [Citation Graph (0, 0)][DBLP ] Conf ] Jean-Yves Audibert A Randomized Online Learning Algorithm for Better Variance Control. [Citation Graph (0, 0)][DBLP ] Conf ] Shie Mannor , Nahum Shimkin Online Learning with Variable Stage Duration. [Citation Graph (0, 0)][DBLP ] Conf ] Shai Shalev-Shwartz , Yoram Singer Online Learning Meets Optimization in the Dual. [Citation Graph (0, 0)][DBLP ] Conf ] Koby Crammer Online Tracking of Linear Subspaces. [Citation Graph (0, 0)][DBLP ] Conf ] Ofer Dekel , Philip M. Long , Yoram Singer Online Multitask Learning. [Citation Graph (0, 0)][DBLP ] Conf ] András György , Tamás Linder , György Ottucsák The Shortest Path Problem Under Partial Monitoring. [Citation Graph (0, 0)][DBLP ] Conf ] Nicolò Cesa-Bianchi , Claudio Gentile Tracking the Best Hyperplane with a Simple Budget Perceptron. [Citation Graph (0, 0)][DBLP ] Conf ] Elad Hazan , Adam Kalai , Satyen Kale , Amit Agarwal Logarithmic Regret Algorithms for Online Convex Optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Manfred K. Warmuth , Dima Kuzmin Online Variance Minimization. [Citation Graph (0, 0)][DBLP ] Conf ] Shie Mannor , John N. Tsitsiklis Online Learning with Constraints. [Citation Graph (0, 0)][DBLP ] Conf ] Jacob Abernethy , John Langford , Manfred K. Warmuth Continuous Experts and the Binning Algorithm. [Citation Graph (0, 0)][DBLP ] Conf ] Vladimir Vovk Competing with Wild Prediction Rules. [Citation Graph (0, 0)][DBLP ] 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 ] Conf ] Cynthia Rudin Ranking with a P-Norm Push. [Citation Graph (0, 0)][DBLP ] Conf ] David Cossock , Tong Zhang Subset Ranking Using Regression. [Citation Graph (0, 0)][DBLP ] Conf ] Shai Fine , Yishay Mansour Active Sampling for Multiple Output Identification. [Citation Graph (0, 0)][DBLP ] Conf ] Ping Li , Trevor Hastie , Kenneth Ward Church Improving Random Projections Using Marginal Information. [Citation Graph (0, 0)][DBLP ] Conf ] Claire Monteleoni Efficient Algorithms for General Active Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Manfred K. Warmuth Can Entropic Regularization Be Replaced by Squared Euclidean Distance Plus Additional Linear Constraints. [Citation Graph (0, 0)][DBLP ] Conf ] 