Papers
Optimizing Long-term Predictions for Model-based Policy Search
Andreas Doerr, CHristian Daniel, Duy Nguyen-Tuong et al.
Optimizing Ratio of Monotone Set Functions
Chao Qian, Jing-Cheng Shi, Yang Yu et al.
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos, J. Zico Kolter
Oracle Complexity of Second-Order Methods for Finite-Sum Problems
Yossi Arjevani, Ohad Shamir
Oracle Summaries of Compressive Summarization
Tsutomu Hirao, Masaaki Nishino, Masaaki Nagata
Order-Preserving Abstractive Summarization for Spoken Content Based on Connectionist Temporal Classification
Bo-Ru Lu, Frank Shyu, Yun-Nung Chen et al.
Order-Preserving Wasserstein Distance for Sequence Matching
Bing Su, Gang Hua
Order Statistics for Probabilistic Graphical Models
David Smith, Sara Rouhani, Vibhav Gogate
Ordinal Graphical Models: A Tale of Two Approaches
Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar
Ordinal Zero-Shot Learning
Zengwei Huo, Xin Geng
Oriented Response Networks
Yanzhao Zhou, Qixiang Ye, Qiang Qiu et al.
Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering
Junwei Han, Kai Xiong, Feiping Nie
Orthogonalized ALS: A Theoretically Principled Tensor Decomposition Algorithm for Practical Use
Vatsal Sharan, Gregory Valiant
Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization
Akira Sasaki, Kazuaki Hanawa, Naoaki Okazaki et al.
Outlier-Robust Tensor PCA
Pan Zhou, Jiashi Feng
Out-of-domain FrameNet Semantic Role Labeling
Silvana Hartmann, Ilia Kuznetsov, Teresa Martin et al.
Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models
Haim Dubossarsky, Daphna Weinshall, Eitan Grossman
Overcoming Catastrophic Forgetting by Incremental Moment Matching
Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun et al.
PAC Learning Depth-3 $\textrm{AC}^0$ Circuits of Bounded Top Fanin
Ning Ding, Yanli Ren, Dawu Gu
PACRR: A Position-Aware Neural IR Model for Relevance Matching
Kai Hui, Andrew Yates, Klaus Berberich et al.
“PageRank” for Argument Relevance
Henning Wachsmuth, Benno Stein, Yamen Ajjour
Pain-Free Random Differential Privacy with Sensitivity Sampling
Benjamin I. P. Rubinstein, Francesco Aldà
Paradigm Completion for Derivational Morphology
Ryan Cotterell, Ekaterina Vylomova, Huda Khayrallah et al.
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
José Miguel Hernández-Lobato, James Requeima, Edward O. Pyzer-Knapp et al.
Parallel-Data-Free Many-to-Many Voice Conversion Based on DNN Integrated with Eigenspace Using a Non-Parallel Speech Corpus
Tetsuya Hashimoto, Hidetsugu Uchida, Daisuke Saito et al.