Papers
Bandit Learning in Concave N-Person Games
Mario Bravo, David Leslie, Panayotis Mertikopoulos
Bandit Learning with Implicit Feedback
Yi Qi, Qingyun Wu, Hongning Wang et al.
Bandit Learning with Positive Externalities
Virag Shah, Jose Blanchet, Ramesh Johari
Bandit Online Learning on Graphs via Adaptive Optimization
Peng Yang, Peilin Zhao, Xin Gao
Bandit Regret Scaling with the Effective Loss Range
Nicolò Cesa-Bianchi, Ohad Shamir
BanditSum: Extractive Summarization as a Contextual Bandit
Yue Dong, Yikang Shen, Eric Crawford et al.
Bandits with Delayed, Aggregated Anonymous Feedback
Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvari et al.
Baseline: A Library for Rapid Modeling, Experimentation and Development of Deep Learning Algorithms targeting NLP
Daniel Pressel, Sagnik Ray Choudhury, Brian Lester et al.
Baseline Desensitizing in Translation Averaging
Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
Dinghan Shen, Guoyin Wang, Wenlin Wang et al.
Batch Active Preference-Based Learning of Reward Functions
Erdem Biyik, Dorsa Sadigh
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design
Wenlong Lyu, Fan Yang, Changhao Yan et al.
Batched Large-scale Bayesian Optimization in High-dimensional Spaces
Zi Wang, Clement Gehring, Pushmeet Kohli et al.
Batch-Expansion Training: An Efficient Optimization Framework
Michal Derezinski, Dhruv Mahajan, S. Sathiya Keerthi et al.
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
Hyeonseob Nam, Hyo-Eun Kim
Batch IS NOT Heavy: Learning Word Representations From All Samples
Xin Xin, Fajie Yuan, Xiangnan He et al.
Batch Normalized Deep Boltzmann Machines
Hung Vu, Tu Dinh Nguyen, Trung Le et al.
Bayesian Active Edge Evaluation on Expensive Graphs
Sanjiban Choudhury, Siddhartha Srinivasa, Sebastian Scherer
Bayesian Adversarial Learning
Nanyang Ye, Zhanxing Zhu
Bayesian Alignments of Warped Multi-Output Gaussian Processes
Markus Kaiser, Clemens Otte, Thomas Runkler et al.
Bayesian Approaches to Distribution Regression
Ho Chung Leon Law, Danica J. Sutherland, Dino Sejdinovic et al.
Bayesian Compression for Natural Language Processing
Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry Vetrov
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
Mahdi Imani, Seyede Fatemeh Ghoreishi, Ulisses M. Braga-Neto
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
Trevor Campbell, Tamara Broderick
Bayesian Distributed Stochastic Gradient Descent
Michael Teng, Frank Wood