Papers
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector
Amit Zohar, Lior Wolf
Automating Bayesian optimization with Bayesian optimization
Gustavo Malkomes, Roman Garnett
Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming
Fei Wang, James Decker, Xilun Wu et al.
Balanced Policy Evaluation and Learning
Nathan Kallus
Banach Wasserstein GAN
Jonas Adler, Sebastian Lunz
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
Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
Hyeonseob Nam, Hyo-Eun Kim
Bayesian Adversarial Learning
Nanyang Ye, Zhanxing Zhu
Bayesian Alignments of Warped Multi-Output Gaussian Processes
Markus Kaiser, Clemens Otte, Thomas Runkler et al.
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
Mahdi Imani, Seyede Fatemeh Ghoreishi, Ulisses M. Braga-Neto
Bayesian Distributed Stochastic Gradient Descent
Michael Teng, Frank Wood
Bayesian Inference of Temporal Task Specifications from Demonstrations
Ankit Shah, Pritish Kamath, Julie A Shah et al.
Bayesian Model-Agnostic Meta-Learning
Jaesik Yoon, Taesup Kim, Ousmane Dia et al.
Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors
Fei Jiang, Guosheng Yin, Francesca Dominici
Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data
Ehsan Hajiramezanali, Siamak Zamani Dadaneh, Alireza Karbalayghareh et al.
Bayesian Nonparametric Spectral Estimation
Felipe Tobar
Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC
Tolga Birdal, Umut Simsekli, Mustafa Onur Eken et al.
Bayesian Semi-supervised Learning with Graph Gaussian Processes
Yin Cheng Ng, Nicolò Colombo, Ricardo Silva
Bayesian Structure Learning by Recursive Bootstrap
Raanan Y. Rohekar, Yaniv Gurwicz, Shami Nisimov et al.
Beauty-in-averageness and its contextual modulations: A Bayesian statistical account
Chaitanya Ryali, Angela J. Yu
Benefits of over-parameterization with EM
Ji Xu, Daniel J. Hsu, Arian Maleki
Beyond Grids: Learning Graph Representations for Visual Recognition
Yin Li, Abhinav Gupta
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo
Holden Lee, Andrej Risteski, Rong Ge