9 Results

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