Papers
Towards Memory-Friendly Deterministic Incremental Gradient Method
Jiahao Xie, Hui Qian, Zebang Shen et al.
Learning Structural Weight Uncertainty for Sequential Decision-Making
Ruiyi Zhang, Chunyuan Li, Changyou Chen et al.
Crowdclustering with Partition Labels
Junxiang Chen, Yale Chang, Peter Castaldi et al.
Factor Analysis on a Graph
Masayuki Karasuyama, Hiroshi Mamitsuka
Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling
Hongyi Ding, Mohammad Khan, Issei Sato et al.
A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery
Xiao Zhang, Lingxiao Wang, Quanquan Gu
Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms
Pan Xu, Tianhao Wang, Quanquan Gu
A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop
Yichen Wang, Evangelos Theodorou, Apurv Verma et al.
Semi-Supervised Prediction-Constrained Topic Models
Michael Hughes, Gabriel Hope, Leah Weiner et al.
Approximate Ranking from Pairwise Comparisons
Reinhard Heckel, Max Simchowitz, Kannan Ramchandran et al.
Learning to Round for Discrete Labeling Problems
Pritish Mohapatra, Jawahar C.V., M Pawan Kumar
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs
Lawrence Murray, Daniel Lundén, Jan Kudlicka et al.
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization
Fanhua Shang, Yuanyuan Liu, Kaiwen Zhou et al.
Statistical Sparse Online Regression: A Diffusion Approximation Perspective
Jianqing Fan, Wenyan Gong, Chris Junchi Li et al.
Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models
Atsushi Nitanda, Taiji Suzuki
Generalized Concomitant Multi-Task Lasso for Sparse Multimodal Regression
Mathurin Massias, Olivier Fercoq, Alexandre Gramfort et al.
SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning
Xu Hu, Guillaume Obozinski
Statistically Efficient Estimation for Non-Smooth Probability Densities
Masaaki Imaizumi, Takanori Maehara, Yuichi Yoshida
Variational Sequential Monte Carlo
Christian Naesseth, Scott Linderman, Rajesh Ranganath et al.
Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach
Achintya Kundu, Francis Bach, Chiranjib Bhattacharya
Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures
Tomi Silander, Janne Leppä-aho, Elias Jääsaari et al.
Random Subspace with Trees for Feature Selection Under Memory Constraints
Antonio Sutera, Célia Châtel, Gilles Louppe et al.
Actor-Critic Fictitious Play in Simultaneous Move Multistage Games
Julien Perolat, Bilal Piot, Olivier Pietquin
Tree-based Bayesian Mixture Model for Competing Risks
Alexis Bellot, Mihaela Schaar