Papers
Open Problem: Do Good Algorithms Necessarily Query Bad Points?
Rong Ge, Prateek Jain, Sham M. Kakade et al.
Open Problem: How fast can a multiclass test set be overfit?
Vitaly Feldman, Roy Frostig, Moritz Hardt
Open Problem: Is Margin Sufficient for Non-Interactive Private Distributed Learning?
Amit Daniely, Vitaly Feldman
Open Problem: Monotonicity of Learning
Tom Viering, Alexander Mey, Marco Loog
Open Problem: Risk of Ruin in Multiarmed Bandits
Filipo S. Perotto, Mathieu Bourgais, Bruno C. Silva et al.
Open Problem: The Oracle Complexity of Convex Optimization with Limited Memory
Blake Woodworth, Nathan Srebro
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
Ruidong Wu, Yuan Yao, Xu Han et al.
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data
Ruidong Wu, Yuan Yao, Xu Han et al.
Open Sesame: Getting inside BERT’s Linguistic Knowledge
Yongjie Lin, Yi Chern Tan, Robert Frank
Open-Vocabulary Keyword Spotting with Audio and Text Embeddings
Niccolò Sacchi, Alexandre Nanchen, Martin Jaggi et al.
Open Vocabulary Learning for Neural Chinese Pinyin IME
Zhuosheng Zhang, Yafang Huang, Hai Zhao
Open Vocabulary Learning on Source Code with a Graph-Structured Cache
Milan Cvitkovic, Badal Singh, Animashree Anandkumar
Operator Mutexes and Symmetries for Simplifying Planning Tasks
Daniel Fišer, Álvaro Torralba, Alexander Shleyfman
OperatorNet: Recovering 3D Shapes From Difference Operators
Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas et al.
Opinion Mining with Deep Contextualized Embeddings
Wen-Bin Han, Noriko Kando
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams
Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen et al.
Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards
Shiyin Lu, Guanghui Wang, Yao Hu et al.
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation
Chen Dan, Hong Wang, Hongyang Zhang et al.
Optimal Auctions through Deep Learning
Paul Duetting, Zhe Feng, Harikrishna Narasimhan et al.
Optimal Average-Case Reductions to Sparse PCA: From Weak Assumptions to Strong Hardness
Matthew Brennan, Guy Bresler
Optimal Collusion-Free Teaching
David Kirkpatrick, Hans U. Simon, Sandra Zilles
Optimal Completion Distillation for Sequence Learning
Sara Sabour, William Chan, Mohammad Norouzi
Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference
Yatao Bian, Joachim Buhmann, Andreas Krause
Optimal Control Via Neural Networks: A Convex Approach
Yize Chen, Yuanyuan Shi, Baosen Zhang