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Poster
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Thu 13:30
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Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization
Christopher Liao · Theodoros Tsiligkaridis · Brian Kulis
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Workshop
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Lagrangian Proximal Gradient Descent for Learning Convex Optimization Models
Anselm Paulus · Vit Musil · Georg Martius
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Poster
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Wed 17:00
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Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals
Ilias Diakonikolas · Daniel Kane · Lisheng Ren
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Workshop
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Mathematical Theory of Adversarial Deep Learning
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Poster
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Thu 13:30
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Semi-Offline Reinforcement Learning for Optimized Text Generation
Changyu Chen · Xiting Wang · Yiqiao Jin · Victor Ye Dong · Li Dong · Jie Cao · Yi Liu · Rui Yan
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Poster
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Tue 14:00
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Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
Qiwei Di · Jiafan He · Dongruo Zhou · Quanquan Gu
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Poster
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Wed 17:00
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Optimal No-Regret Learning for One-Sided Lipschitz Functions
PAUL DUETTING · Guru Guruganesh · Jon Schneider · Joshua Wang
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Poster
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Thu 16:30
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Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
Jiafan He · Heyang Zhao · Dongruo Zhou · Quanquan Gu
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Poster
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Wed 17:00
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Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
Yulai Zhao · Zhuoran Yang · Zhaoran Wang · Jason Lee
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Workshop
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Combining Thermodynamics-based Model of the Centrifugal Compressors and Active Machine Learning for Enhanced Industrial Design Optimization
Shadi Ghiasi · Guido Pazzi · Concettina Del Grosso · Giovanni De Magistris · Giacomo Veneri
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Affinity Workshop
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Mon 19:15
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1-Path-Norm Regularization of Deep Neural Networks
Fabian Latorre · Antoine Bonnet · Paul Rolland · Nadav Hallak · Volkan Cevher
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Poster
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Thu 13:30
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Learning Unnormalized Statistical Models via Compositional Optimization
Wei Jiang · Jiayu Qin · Lingyu Wu · Changyou Chen · Tianbao Yang · Lijun Zhang
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