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Conferences in DBLP
The Catch-Up Phenomenon in Bayesian Inference. [Citation Graph (, )][DBLP]
Combinatorial Prediction Markets. [Citation Graph (, )][DBLP]
Unsupervised Learning for Natural Language Processing. [Citation Graph (, )][DBLP]
Concentration Inequalities. [Citation Graph (, )][DBLP]
Learning Mixtures of Product Distributions Using Correlations and Independence. [Citation Graph (, )][DBLP]
Beyond Gaussians: Spectral Methods for Learning Mixtures of Heavy-Tailed Distributions. [Citation Graph (, )][DBLP]
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning. [Citation Graph (, )][DBLP]
The True Sample Complexity of Active Learning. [Citation Graph (, )][DBLP]
Extracting Certainty from Uncertainty: Regret Bounded by Variation in Costs. [Citation Graph (, )][DBLP]
Online Learning of Maximum p-Norm Margin Classifiers with Bias. [Citation Graph (, )][DBLP]
Minimizing Wide Range Regret with Time Selection Functions. [Citation Graph (, )][DBLP]
An Efficient Reduction of Ranking to Classification. [Citation Graph (, )][DBLP]
Learning from Collective Behavior. [Citation Graph (, )][DBLP]
Injective Hilbert Space Embeddings of Probability Measures. [Citation Graph (, )][DBLP]
Almost Tight Upper Bound for Finding Fourier Coefficients of Bounded Pseudo- Boolean Functions. [Citation Graph (, )][DBLP]
Teaching Dimensions based on Cooperative Learning. [Citation Graph (, )][DBLP]
On the Power of Membership Queries in Agnostic Learning. [Citation Graph (, )][DBLP]
Dimension and Margin Bounds for Reflection-invariant Kernels. [Citation Graph (, )][DBLP]
Learning Acyclic Probabilistic Circuits Using Test Paths. [Citation Graph (, )][DBLP]
Learning Random Monotone DNF Under the Uniform Distribution. [Citation Graph (, )][DBLP]
Polynomial Regression under Arbitrary Product Distributions. [Citation Graph (, )][DBLP]
How Local Should a Learning Method Be?. [Citation Graph (, )][DBLP]
Learning Coordinate Gradients with Multi-Task Kernels. [Citation Graph (, )][DBLP]
Sparse Recovery in Large Ensembles of Kernel Machines On-Line Learning and Bandits. [Citation Graph (, )][DBLP]
More Efficient Internal-Regret-Minimizing Algorithms. [Citation Graph (, )][DBLP]
Linear Algorithms for Online Multitask Classification. [Citation Graph (, )][DBLP]
Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization. [Citation Graph (, )][DBLP]
Combining Expert Advice Efficiently. [Citation Graph (, )][DBLP]
Improved Guarantees for Learning via Similarity Functions. [Citation Graph (, )][DBLP]
Geometric & Topological Representations of Maximum Classes with Applications to Sample Compression. [Citation Graph (, )][DBLP]
On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms. [Citation Graph (, )][DBLP]
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains. [Citation Graph (, )][DBLP]
High-Probability Regret Bounds for Bandit Online Linear Optimization. [Citation Graph (, )][DBLP]
Adapting to a Changing Environment: the Brownian Restless Bandits. [Citation Graph (, )][DBLP]
Stochastic Linear Optimization under Bandit Feedback. [Citation Graph (, )][DBLP]
Model Selection and Stability in k-means Clustering. [Citation Graph (, )][DBLP]
Relating Clustering Stability to Properties of Cluster Boundaries. [Citation Graph (, )][DBLP]
Finding Metric Structure in Information Theoretic Clustering. [Citation Graph (, )][DBLP]
An Information Theoretic Framework for Multi-view Learning. [Citation Graph (, )][DBLP]
Optimal Stragies and Minimax Lower Bounds for Online Convex Games. [Citation Graph (, )][DBLP]
Regret Bounds for Sleeping Experts and Bandits. [Citation Graph (, )][DBLP]
When Random Play is Optimal Against an Adversary. [Citation Graph (, )][DBLP]
On-line Sequential Bin Packing. [Citation Graph (, )][DBLP]
Time Varying Undirected Graphs. [Citation Graph (, )][DBLP]
Learning in the Limit with Adversarial Disturbances. [Citation Graph (, )][DBLP]
On the Margin Explanation of Boosting Algorithms. [Citation Graph (, )][DBLP]
Adaptive Hausdorff Estimation of Density Level Sets. [Citation Graph (, )][DBLP]
Density Estimation in Linear Time. [Citation Graph (, )][DBLP]
The Learning Power of Evolution. [Citation Graph (, )][DBLP]
A Query Algorithm for Agnostically Learning DNF?. [Citation Graph (, )][DBLP]
Learning Rotations. [Citation Graph (, )][DBLP]
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