Papers
Black Box FDR
Wesley Tansey, Yixin Wang, David Blei et al.
Black-Box Variational Inference for Stochastic Differential Equations
Tom Ryder, Andrew Golightly, A. Stephen McGough et al.
Blind Justice: Fairness with Encrypted Sensitive Attributes
Niki Kilbertus, Adria Gascon, Matt Kusner et al.
BOCK : Bayesian Optimization with Cylindrical Kernels
ChangYong Oh, Efstratios Gavves, Max Welling
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
Stefan Falkner, Aaron Klein, Frank Hutter
Born Again Neural Networks
Tommaso Furlanello, Zachary Lipton, Michael Tschannen et al.
Bounding and Counting Linear Regions of Deep Neural Networks
Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam
Bounds on the Approximation Power of Feedforward Neural Networks
Mohammad Mehrabi, Aslan Tchamkerten, MANSOOR YOUSEFI
Bucket Renormalization for Approximate Inference
Sungsoo Ahn, Michael Chertkov, Adrian Weller et al.
Budgeted Experiment Design for Causal Structure Learning
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash et al.
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
Dong Yin, Yudong Chen, Ramchandran Kannan et al.
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
Maithra Raghu, Alex Irpan, Jacob Andreas et al.
Candidates vs. Noises Estimation for Large Multi-Class Classification Problem
Lei Han, Yiheng Huang, Tong Zhang
Canonical Tensor Decomposition for Knowledge Base Completion
Timothee Lacroix, Nicolas Usunier, Guillaume Obozinski
Causal Bandits with Propagating Inference
Akihiro Yabe, Daisuke Hatano, Hanna Sumita et al.
Celer: a Fast Solver for the Lasso with Dual Extrapolation
Mathurin MASSIAS, Alexandre Gramfort, Joseph Salmon
Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions
Karren Yang, Abigail Katcoff, Caroline Uhler
Characterizing Implicit Bias in Terms of Optimization Geometry
Suriya Gunasekar, Jason Lee, Daniel Soudry et al.
Chi-square Generative Adversarial Network
Chenyang Tao, Liqun Chen, Ricardo Henao et al.
Classification from Pairwise Similarity and Unlabeled Data
Han Bao, Gang Niu, Masashi Sugiyama
Clipped Action Policy Gradient
Yasuhiro Fujita, Shin-ichi Maeda
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization
Louis Filstroff, Alberto Lumbreras, Cédric Févotte
Clustering Semi-Random Mixtures of Gaussians
Aravindan Vijayaraghavan, Pranjal Awasthi
Coded Sparse Matrix Multiplication
Sinong Wang, Jiashang Liu, Ness Shroff
Communication-Computation Efficient Gradient Coding
Min Ye, Emmanuel Abbe