Papers
Kernel Bayesian Inference with Posterior Regularization
Yang Song, Jun Zhu, Yong Ren
Joint quantile regression in vector-valued RKHSs
Maxime Sangnier, Olivier Fercoq, Florence d'Alché-Buc
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits
Vasilis Syrgkanis, Haipeng Luo, Akshay Krishnamurthy et al.
Faster Projection-free Convex Optimization over the Spectrahedron
Dan Garber, Dan Garber
Learning Infinite RBMs with Frank-Wolfe
Wei Ping, Qiang Liu, Alex Ihler
Select-and-Sample for Spike-and-Slab Sparse Coding
Abdul-Saboor Sheikh, Jörg Lücke
Improved Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma, Tim Salimans, Rafal Jozefowicz et al.
Active Learning from Imperfect Labelers
Songbai Yan, Kamalika Chaudhuri, Tara Javidi
The Robustness of Estimator Composition
Pingfan Tang, Jeff M Phillips
Data driven estimation of Laplace-Beltrami operator
Frederic Chazal, Ilaria Giulini, Bertrand Michel
Constraints Based Convex Belief Propagation
Yaniv Tenzer, Alex Schwing, Kevin Gimpel et al.
Launch and Iterate: Reducing Prediction Churn
Mahdi Milani Fard, Quentin Cormier, Kevin Canini et al.
Satisfying Real-world Goals with Dataset Constraints
Gabriel Goh, Andrew Cotter, Maya Gupta et al.
Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling
Maria-Florina F Balcan, Hongyang Zhang
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order
Xiangru Lian, Huan Zhang, Cho-Jui Hsieh et al.
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning
Wouter M. Koolen, Peter Grünwald, Tim van Erven
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
Dan Garber, Dan Garber, Ofer Meshi
Full-Capacity Unitary Recurrent Neural Networks
Scott Wisdom, Thomas Powers, John Hershey et al.
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn, Ian Goodfellow, Sergey Levine
Operator Variational Inference
Rajesh Ranganath, Dustin Tran, Jaan Altosaar et al.
Learning a Metric Embedding for Face Recognition using the Multibatch Method
Oren Tadmor, Tal Rosenwein, Shai Shalev-Shwartz et al.
Binarized Neural Networks
Itay Hubara, Matthieu Courbariaux, Daniel Soudry et al.
Linear Relaxations for Finding Diverse Elements in Metric Spaces
Aditya Bhaskara, Mehrdad Ghadiri, Vahab Mirrokni et al.
A Bandit Framework for Strategic Regression
Yang Liu, Yiling Chen
High Dimensional Structured Superposition Models
Qilong Gu, Arindam Banerjee