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Workshop
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High-Order Optimization of Gradient Boosted Decision Trees
Jean Pachebat · Sergey IVANOV
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Poster
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Thu 9:00
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Acceleration in Distributed Sparse Regression
Marie Maros · Gesualdo Scutari
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Poster
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Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
Vudtiwat Ngampruetikorn · David Schwab
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Poster
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Tue 14:00
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Parameter-free Regret in High Probability with Heavy Tails
Jiujia Zhang · Ashok Cutkosky
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Poster
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Thu 14:00
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DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery
Marie Maros · Gesualdo Scutari
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Workshop
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Perseus: A Simple and Optimal High-Order Method for Variational Inequalities
Tianyi Lin · Michael Jordan
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Poster
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Tue 14:00
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The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization
Dmitry Kovalev · Alexander Gasnikov
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Workshop
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An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization
Elvin Lo · Pin-Yu Chen
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Poster
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Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song · Ke Xue · Xiaobin Huang · Chao Qian
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Poster
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Thu 14:00
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Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
Leonard Papenmeier · Luigi Nardi · Matthias Poloczek
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Poster
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Tue 9:00
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On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood
Moses Charikar · Zhihao Jiang · Kirankumar Shiragur · Aaron Sidford
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Poster
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Tue 9:00
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Outlier-Robust Sparse Estimation via Non-Convex Optimization
Yu Cheng · Ilias Diakonikolas · Rong Ge · Shivam Gupta · Daniel Kane · Mahdi Soltanolkotabi
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