Papers
Spectral Filtering for General Linear Dynamical Systems
Elad Hazan, Holden Lee, Karan Singh et al.
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You, Bowen Liu, Zhitao Ying et al.
Blind Deconvolutional Phase Retrieval via Convex Programming
Ali Ahmed, Alireza Aghasi, Paul Hand
Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
Robert Gower, Filip Hanzely, Peter Richtarik et al.
Lipschitz regularity of deep neural networks: analysis and efficient estimation
Aladin Virmaux, Kevin Scaman
Genetic-Gated Networks for Deep Reinforcement Learning
Simyung Chang, John Yang, Jaeseok Choi et al.
NEON2: Finding Local Minima via First-Order Oracles
Zeyuan Allen-Zhu, Yuanzhi Li
Learning Invariances using the Marginal Likelihood
Mark van der Wilk, Matthias Bauer, ST John et al.
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
David Reeb, Andreas Doerr, Sebastian Gerwinn et al.
Preference Based Adaptation for Learning Objectives
Yao-Xiang Ding, Zhi-Hua Zhou
Is Q-Learning Provably Efficient?
Chi Jin, Zeyuan Allen-Zhu, Sebastien Bubeck et al.
On Learning Markov Chains
Yi Hao, Alon Orlitsky, Venkatadheeraj Pichapati
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient
Aaron Mishkin, Frederik Kunstner, Didrik Nielsen et al.
Partially-Supervised Image Captioning
Peter Anderson, Stephen Gould, Mark Johnson
Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling
Yunzhe Tao, Qi Sun, Qiang Du et al.
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization
Minshuo Chen, Lin Yang, Mengdi Wang et al.
Temporal alignment and latent Gaussian process factor inference in population spike trains
Lea Duncker, Maneesh Sahani
Do Less, Get More: Streaming Submodular Maximization with Subsampling
Moran Feldman, Amin Karbasi, Ehsan Kazemi
Efficient Projection onto the Perfect Phylogeny Model
Bei Jia, Surjyendu Ray, Sam Safavi et al.
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma, Prafulla Dhariwal
KONG: Kernels for ordered-neighborhood graphs
Moez Draief, Konstantin Kutzkov, Kevin Scaman et al.
The Importance of Sampling inMeta-Reinforcement Learning
Bradly Stadie, Ge Yang, Rein Houthooft et al.
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning
Tyler Scott, Karl Ridgeway, Michael Mozer
Neural Edit Operations for Biological Sequences
Satoshi Koide, Keisuke Kawano, Takuro Kutsuna
Efficient Neural Network Robustness Certification with General Activation Functions
Huan Zhang, Tsui-Wei Weng, Pin-Yu Chen et al.