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COLT
2008
Springer
13 years 6 months ago
Stochastic Linear Optimization under Bandit Feedback
Varsha Dani, Thomas P. Hayes, Sham M. Kakade
COLT
2008
Springer
13 years 6 months ago
Density Estimation in Linear Time
Satyaki Mahalanabis, Daniel Stefankovic
COLT
2008
Springer
13 years 6 months ago
More Efficient Internal-Regret-Minimizing Algorithms
Standard no-internal-regret (NIR) algorithms compute a fixed point of a matrix, and hence typically require O(n3 ) run time per round of learning, where n is the dimensionality of...
Amy R. Greenwald, Zheng Li, Warren Schudy
COLT
2008
Springer
13 years 6 months ago
A Query Algorithm for Agnostically Learning DNF?
Parikshit Gopalan, Adam Kalai, Adam R. Klivans
COLT
2008
Springer
13 years 6 months ago
An Information Theoretic Framework for Multi-view Learning
In the multi-view learning paradigm, the input variable is partitioned into two different views X1 and X2 and there is a target variable Y of interest. The underlying assumption i...
Karthik Sridharan, Sham M. Kakade
COLT
2008
Springer
13 years 6 months ago
Dimension and Margin Bounds for Reflection-invariant Kernels
A kernel over the Boolean domain is said to be reflection-invariant, if its value does not change when we flip the same bit in both arguments. (Many popular kernels have this prop...
Thorsten Doliwa, Michael Kallweit, Hans-Ulrich Sim...
COLT
2008
Springer
13 years 6 months ago
Learning Rotations
An algorithm is presented for online learning of rotations. The proposed algorithm involves matrix exponentiated gradient updates and is motivated by the von Neumann divergence. T...
Adam M. Smith, Manfred K. Warmuth
COLT
2008
Springer
13 years 6 months ago
Adaptive Aggregation for Reinforcement Learning with Efficient Exploration: Deterministic Domains
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
Andrey Bernstein, Nahum Shimkin
COLT
2008
Springer
13 years 6 months ago
When Random Play is Optimal Against an Adversary
We analyze a sequential game between a Gambler and a Casino. The Gambler allocates bets from a limited budget over a fixed menu of gambling events that are offered at equal time i...
Jacob Abernethy, Manfred K. Warmuth, Joel Yellin
COLT
2008
Springer
13 years 6 months ago
Learning Random Monotone DNF Under the Uniform Distribution
We show that randomly generated monotone c log(n)-DNF formula can be learned exactly in probabilistic polynomial time. Our notion of randomly generated is with respect to a unifor...
Linda Sellie