Papers
Bayesian Optimization of Composite Functions
Raul Astudillo, Peter Frazier
Bayesian Optimization under Heavy-tailed Payoffs
Sayak Ray Chowdhury, Aditya Gopalan
Bayesian Optimization with Binary Auxiliary Information
Yehong Zhang, Zhongxiang Dai, Bryan Kian Hsiang Low
Bayesian Optimization with Unknown Search Space
Huong Ha, Santu Rana, Sunil Gupta et al.
Bayesian Optimized 1-Bit CNNs
Jiaxin Gu, Junhe Zhao, Xiaolong Jiang et al.
Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis
Yi Chou, Sriram Sankaranarayanan
Bayesian Policy Optimization for Model Uncertainty
Gilwoo Lee, Brian Hou, Aditya Mandalika et al.
Bayesian Posterior Approximation via Greedy Particle Optimization
Futoshi Futami, Zhenghang Cui, Issei Sato et al.
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
Apratim Bhattacharyya, Mario Fritz, Bernt Schiele
Bayesian Relational Memory for Semantic Visual Navigation
Yi Wu, Yuxin Wu, Aviv Tamar et al.
Bayesian Space-Time Partitioning by Sampling and Pruning Spanning Trees
Leonardo V. Teixeira, Renato M. Assunção, Rosangela H. Loschi
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery
Lucas Ondel, Hari Krishna Vydana, Lukáš Burget et al.
Bayesian Uncertainty Matching for Unsupervised Domain Adaptation
Jun Wen, Nenggan Zheng, Junsong Yuan et al.
BayesNAS: A Bayesian Approach for Neural Architecture Search
Hongpeng Zhou, Minghao Yang, Jun Wang et al.
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators
Fabio Ramos, Rafael Possas, Dieter Fox
BAYHENN: Combining Bayesian Deep Learning and Homomorphic Encryption for Secure DNN Inference
Peichen Xie, Bingzhe Wu, Guangyu Sun
Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
BeamSeg: A Joint Model for Multi-Document Segmentation and Topic Identification
Pedro Mota, Maxine Eskenazi, Luísa Coheur
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
Bin Zhou, Shenghua Liu, Bryan Hooi et al.
Beating SGD Saturation with Tail-Averaging and Minibatching
Nicole Muecke, Gergely Neu, Lorenzo Rosasco
Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously
Julian Zimmert, Haipeng Luo, Chen-Yu Wei
BeautyGlow: On-Demand Makeup Transfer Framework With Reversible Generative Network
Hung-Jen Chen, Ka-Ming Hui, Szu-Yu Wang et al.
Be Consistent! Improving Procedural Text Comprehension using Label Consistency
Xinya Du, Bhavana Dalvi, Niket Tandon et al.
Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits
Shreyas S, Aadirupa Saha, Chiranjib Bhattacharyya