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Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
One of the challenges in machine learning research is to ensure that pre...
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Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case
We study the problem of efficient online multiclass linear classificatio...
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Contextual Memory Trees
We design and study a Contextual Memory Tree (CMT), a learning memory co...
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A Reductions Approach to Fair Classification
We present a systematic approach for achieving fairness in a binary clas...
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Efficient Online Bandit Multiclass Learning with Õ(√(T)) Regret
We present an efficient second-order algorithm with Õ(1/η√(T)) regret fo...
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Search Improves Label for Active Learning
We investigate active learning with access to two distinct oracles: Labe...
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Scalable Nonlinear Learning with Adaptive Polynomial Expansions
Can we effectively learn a nonlinear representation in time comparable t...
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Conditional Probability Tree Estimation Analysis and Algorithms
We consider the problem of estimating the conditional probability of a l...
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Efficient Test Selection in Active Diagnosis via Entropy Approximation
We consider the problem of diagnosing faults in a system represented by ...
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Learning Performance of Prediction Markets with Kelly Bettors
In evaluating prediction markets (and other crowd-prediction mechanisms)...
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