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06/05/2023
Has the Machine Learning Review Process Become More Arbitrary as the Field Has Grown? The NeurIPS 2021 Consistency Experiment
We present the NeurIPS 2021 consistency experiment, a larger-scale varia...
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11/22/2022
How do Authors' Perceptions of their Papers Compare with Co-authors' Perceptions and Peer-review Decisions?
How do author perceptions match up to the outcomes of the peer-review pr...
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03/27/2020
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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02/06/2019
Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case
We study the problem of efficient online multiclass linear classificatio...
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07/17/2018
Contextual Memory Trees
We design and study a Contextual Memory Tree (CMT), a learning memory co...
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03/06/2018
A Reductions Approach to Fair Classification
We present a systematic approach for achieving fairness in a binary clas...
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02/25/2017
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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02/23/2016
Search Improves Label for Active Learning
We investigate active learning with access to two distinct oracles: Labe...
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10/02/2014
Scalable Nonlinear Learning with Adaptive Polynomial Expansions
Can we effectively learn a nonlinear representation in time comparable t...
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08/09/2014
Conditional Probability Tree Estimation Analysis and Algorithms
We consider the problem of estimating the conditional probability of a l...
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07/04/2012
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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01/31/2012