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Poster
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Thu 9:00
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Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees
Jonathan Brophy · Daniel Lowd
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Poster
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Thu 9:00
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Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu · Jose Blanchet · Lexing Ying
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Workshop
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Stochastic Gradient Estimator for Differentiable NAS
Libin Hou · Linyuan Wang · Qi Peng · Bin Yan
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Poster
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Wed 9:00
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SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
Edouard YVINEC · Arnaud Dapogny · Matthieu Cord · Kevin Bailly
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Poster
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Tue 9:00
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Gradient Estimation with Discrete Stein Operators
Jiaxin Shi · Yuhao Zhou · Jessica Hwang · Michalis Titsias · Lester Mackey
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Poster
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Wed 14:00
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Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms
Paavo Parmas · Takuma Seno
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Poster
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Wed 9:00
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A gradient estimator via L1-randomization for online zero-order optimization with two point feedback
Arya Akhavan · Evgenii Chzhen · Massimiliano Pontil · Alexandre Tsybakov
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Poster
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Tue 14:00
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Learning Mixed Multinomial Logits with Provable Guarantees
Yiqun Hu · David Simchi-Levi · Zhenzhen Yan
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Poster
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Tue 14:00
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Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator
Lior Danon · Dan Garber
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