Papers
Deep Structured Mixtures of Gaussian Processes
Martin Trapp, Robert Peharz, Franz Pernkopf et al.
Deontological Ethics By Monotonicity Shape Constraints
Serena Wang, Maya Gupta
Dependent randomized rounding for clustering and partition systems with knapsack constraints
David Harris, Thomas Pensyl, Aravind Srinivasan et al.
Derivative-Free & Order-Robust Optimisation
Haitham Ammar, Victor Gabillon, Rasul Tutunov et al.
Deterministic Decoding for Discrete Data in Variational Autoencoders
Daniil Polykovskiy, Dmitry Vetrov
Diameter-based Interactive Structure Discovery
Christopher Tosh, Daniel Hsu
Differentiable Causal Backdoor Discovery
Limor Gultchin, Matt Kusner, Varun Kanade et al.
Differentiable Feature Selection by Discrete Relaxation
Rishit Sheth, Nicoló Fusi
Discrete Action On-Policy Learning with Action-Value Critic
Yuguang Yue, Yunhao Tang, Mingzhang Yin et al.
Distributed, partially collapsed MCMC for Bayesian Nonparametrics
Kumar Avinava Dubey, Michael Zhang, Eric Xing et al.
Distributionally Robust Bayesian Optimization
Johannes Kirschner, Ilija Bogunovic, Stefanie Jegelka et al.
Distributionally Robust Bayesian Quadrature Optimization
Thanh Nguyen, Sunil Gupta, Huong Ha et al.
Distributionally Robust Formulation and Model Selection for the Graphical Lasso
Pedro Cisneros-Velarde, Alexander Petersen, Sang-Yun Oh
Domain-Liftability of Relational Marginal Polytopes
Ondrej Kuzelka, Yuyi Wang
Doubly Sparse Variational Gaussian Processes
Vincent Adam, Stefanos Eleftheriadis, Artem Artemev et al.
Dynamic content based ranking
Seppo Virtanen, Mark Girolami
DYNOTEARS: Structure Learning from Time-Series Data
Roxana Pamfil, Nisara Sriwattanaworachai, Shaan Desai et al.
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy
Majid Jahani, Xi He, Chenxin Ma et al.
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
Tianyu Li, Bogdan Mazoure, Doina Precup et al.
Efficient Spectrum-Revealing CUR Matrix Decomposition
Cheng Chen, Ming Gu, Zhihua Zhang et al.
Elimination of All Bad Local Minima in Deep Learning
Kenji Kawaguchi, Leslie Kaelbling
EM Converges for a Mixture of Many Linear Regressions
Jeongyeol Kwon, Constantine Caramanis
Enriched mixtures of generalised Gaussian process experts
Charles Gadd, Sara Wade, Alexis Boukouvalas
Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability
Qin Lu, Georgios Karanikolas, Yanning Shen et al.