Papers
Data Programming: Creating Large Training Sets, Quickly
Alexander J Ratner, Christopher M De Sa, Sen Wu et al.
Computing and maximizing influence in linear threshold and triggering models
Justin T Khim, Varun Jog, Po-Ling Loh
CliqueCNN: Deep Unsupervised Exemplar Learning
Miguel A Bautista, Artsiom Sanakoyeu, Ekaterina Tikhoncheva et al.
SURGE: Surface Regularized Geometry Estimation from a Single Image
Peng Wang, Xiaohui Shen, Bryan Russell et al.
Verification Based Solution for Structured MAB Problems
Zohar S Karnin
A forward model at Purkinje cell synapses facilitates cerebellar anticipatory control
Ivan Herreros, Xerxes Arsiwalla, Paul Verschure
Tight Complexity Bounds for Optimizing Composite Objectives
Blake E Woodworth, Nati Srebro
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint
Liangbei Xu, Mark Davenport
Fast learning rates with heavy-tailed losses
Vu C Dinh, Lam S Ho, Binh Nguyen et al.
Large Margin Discriminant Dimensionality Reduction in Prediction Space
Mohammad Saberian, Jose Costa Pereira, Can Xu et al.
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
jean barbier, Mohamad Dia, Nicolas Macris et al.
Learning Parametric Sparse Models for Image Super-Resolution
Yongbo Li, Weisheng Dong, Xuemei Xie et al.
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations
Kirthevasan Kandasamy, Gautam Dasarathy, Junier B Oliva et al.
Bayesian Optimization with a Finite Budget: An Approximate Dynamic Programming Approach
Remi Lam, Karen Willcox, David H. Wolpert
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
Anh Nguyen, Alexey Dosovitskiy, Jason Yosinski et al.
Stochastic Three-Composite Convex Minimization
Alp Yurtsever, Bang Cong Vu, Volkan Cevher
Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
Daniel Neil, Michael Pfeiffer, Shih-Chii Liu
Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow
Gang Wang, Georgios Giannakis
Dual Learning for Machine Translation
Di He, Yingce Xia, Tao Qin et al.
Tractable Operations for Arithmetic Circuits of Probabilistic Models
Yujia Shen, Arthur Choi, Adnan Darwiche
Sparse Support Recovery with Non-smooth Loss Functions
Kévin Degraux, Gabriel Peyré, Jalal Fadili et al.
Supervised learning through the lens of compression
Ofir David, Shay Moran, Amir Yehudayoff
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning
Xinyang Yi, Zhaoran Wang, Zhuoran Yang et al.
Privacy Odometers and Filters: Pay-as-you-Go Composition
Ryan M Rogers, Aaron Roth, Jonathan Ullman et al.