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Low-cost Relevance Generation and Evaluation Metrics for Entity Resolution in AI
Relevance generation and 2.
On the approximation properties of recurrent encoder-decoder architectures
Our results provide the theoretical understanding of approximation properties of the recurrent encoder-decoder architecture, which characterises, in the considered setting, the types of temporal relationships that can be efficiently learned.
Approximation Theory of Convolutional Architectures for Time Series Modelling
We study the approximation properties of convolutional architectures applied to time series modelling, which can be formulated mathematically as a functional approximation problem.
An Improved Cutting Plane Method for Convex Optimization, Convex-Concave Games and its Applications
We propose a new cutting plane algorithm that uses an optimal $O(n \log (\kappa))$ evaluations of the oracle and an additional $O(n^2)$ time per evaluation, where $\kappa = nR/\epsilon$.
Practical Algorithms for Best-K Identification in Multi-Armed Bandits
In the Best-$K$ identification problem (Best-$K$-Arm), we are given $N$ stochastic bandit arms with unknown reward distributions.
