Papers
Training Quantized Nets: A Deeper Understanding
Hao Li, Soham De, Zheng Xu et al.
EX2: Exploration with Exemplar Models for Deep Reinforcement Learning
Justin Fu, John Co-Reyes, Sergey Levine
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm
Masaaki Imaizumi, Takanori Maehara, Kohei Hayashi
How regularization affects the critical points in linear networks
Amirhossein Taghvaei, Jin W Kim, Prashant Mehta
Variational Laws of Visual Attention for Dynamic Scenes
Dario Zanca, Marco Gori
YASS: Yet Another Spike Sorter
Jin Hyung Lee, David E Carlson, Hooshmand Shokri Razaghi et al.
Differentiable Learning of Submodular Models
Josip Djolonga, Andreas Krause
Premise Selection for Theorem Proving by Deep Graph Embedding
Mingzhe Wang, Yihe Tang, Jian Wang et al.
Polynomial time algorithms for dual volume sampling
Chengtao Li, Stefanie Jegelka, Suvrit Sra
Collaborative PAC Learning
Avrim Blum, Nika Haghtalab, Ariel D Procaccia et al.
Expectation Propagation for t-Exponential Family Using q-Algebra
Futoshi Futami, Issei Sato, Masashi Sugiyama
Unifying PAC and Regret: Uniform PAC Bounds for Episodic Reinforcement Learning
Christoph Dann, Tor Lattimore, Emma Brunskill
Phase Transitions in the Pooled Data Problem
Jonathan Scarlett, Volkan Cevher
Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks
Wei-Sheng Lai, Jia-Bin Huang, Ming-Hsuan Yang
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes
Zhenwen Dai, Mauricio Álvarez, Neil Lawrence
Learning Linear Dynamical Systems via Spectral Filtering
Elad Hazan, Karan Singh, Cyril Zhang
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification
Bikash Joshi, Massih R. Amini, Ioannis Partalas et al.
Neural Variational Inference and Learning in Undirected Graphical Models
Volodymyr Kuleshov, Stefano Ermon
Learning to Model the Tail
Yu-Xiong Wang, Deva Ramanan, Martial Hebert
k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms
Cong Han Lim, Stephen Wright
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
Chris Junchi Li, Mengdi Wang, Han Liu et al.
A Universal Analysis of Large-Scale Regularized Least Squares Solutions
Ashkan Panahi, Babak Hassibi
Dualing GANs
Yujia Li, Alexander Schwing, Kuan-Chieh Wang et al.
When Worlds Collide: Integrating Different Counterfactual Assumptions in Fairness
Chris Russell, Matt J Kusner, Joshua Loftus et al.