Papers
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs
Vidyashankar Sivakumar, Arindam Banerjee, Pradeep K Ravikumar
Stochastic Expectation Propagation
Yingzhen Li, José Miguel Hernández-Lobato, Richard E Turner
Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial
David I Inouye, Pradeep K Ravikumar, Inderjit S Dhillon
The Poisson Gamma Belief Network
Mingyuan Zhou, Yulai Cong, Bo Chen
HONOR: Hybrid Optimization for NOn-convex Regularized problems
Pinghua Gong, Jieping Ye
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric
Vivien Seguy, Marco Cuturi
Matrix Completion Under Monotonic Single Index Models
Ravi Sastry Ganti, Laura Balzano, Rebecca Willett
Learning with Relaxed Supervision
Jacob Steinhardt, Percy Liang
On Elicitation Complexity
Rafael Frongillo, Ian Kash
Variance Reduced Stochastic Gradient Descent with Neighbors
Thomas Hofmann, Aurelien Lucchi, Simon Lacoste-Julien et al.
Learning to Linearize Under Uncertainty
Ross Goroshin, Michael F Mathieu, Yann LeCun
Fast Bidirectional Probability Estimation in Markov Models
Siddhartha Banerjee, Peter Lofgren
Softstar: Heuristic-Guided Probabilistic Inference
Mathew Monfort, Brenden M Lake, Brenden M Lake et al.
Where are they looking?
Adria Recasens, Aditya Khosla, Carl Vondrick et al.
Sum-of-Squares Lower Bounds for Sparse PCA
Tengyu Ma, Avi Wigderson
Active Learning from Weak and Strong Labelers
Chicheng Zhang, Kamalika Chaudhuri
M-Statistic for Kernel Change-Point Detection
Shuang Li, Yao Xie, Hanjun Dai et al.
Orthogonal NMF through Subspace Exploration
Megasthenis Asteris, Dimitris Papailiopoulos, Alexandros G Dimakis
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Behnam Neyshabur, Ruslan Salakhutdinov, Nati Srebro
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly et al.
Variational Consensus Monte Carlo
Maxim Rabinovich, Elaine Angelino, Michael I Jordan
Exactness of Approximate MAP Inference in Continuous MRFs
Nicholas Ruozzi
Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments
Dane S Corneil, Wulfram Gerstner