Statistical Learning
Outlier Detection and Robust PCA Using a Convex Measure of Innovation
Neural Information Processing Systems http://nips.cc/
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues
Soumendu Sundar Mukherjee, Purnamrita Sarkar, Y. X. Rachel Wang, Bowei Yan
Neural Information Processing Systems http://nips.cc/
HyperbolicNeuralNetworks
Hyperbolic spaces have recently gained momentum in the context of machine learning due to their high capacity and tree-likeliness properties. However, the representational power of hyperbolic geometry is not yet on par with Euclidean geometry, mostly because of the absence of corresponding hyperbolic neural networklayers.
Copula-like Variational Inference
Marcel Hirt, Petros Dellaportas, Alain Durmus
Neural Information Processing Systems http://nips.cc/
Derivative Estimation in Random Design
Neural Information Processing Systems http://nips.cc/
Stochastic Cubic Regularization for Fast Nonconvex Optimization
Nilesh Tripuraneni, Mitchell Stern, Chi Jin, Jeffrey Regier, Michael I. Jordan
Neural Information Processing Systems http://nips.cc/
Weakly Supervised Instance Segmentation using the Bounding Box Tightness Prior
Cheng-Chun Hsu, Kuang-Jui Hsu, Chung-Chi Tsai, Yen-Yu Lin, Yung-Yu Chuang
Neural Information Processing Systems http://nips.cc/
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang, Fred Roosta, Peng Xu, Michael W. Mahoney
Neural Information Processing Systems http://nips.cc/
On the Local Minima of the Empirical Risk
Chi Jin, Lydia T. Liu, Rong Ge, Michael I. Jordan
Neural Information Processing Systems http://nips.cc/