Papers
Hierarchical Imitation and Reinforcement Learning
Hoang Le, Nan Jiang, Alekh Agarwal et al.
The Multilinear Structure of ReLU Networks
Thomas Laurent, James Brecht
Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global
Thomas Laurent, James Brecht
Partial Optimality and Fast Lower Bounds for Weighted Correlation Clustering
Jan-Hendrik Lange, Andreas Karrenbauer, Bjoern Andres
An Estimation and Analysis Framework for the Rasch Model
Andrew Lan, Mung Chiang, Christoph Studer
Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks
Brenden Lake, Marco Baroni
Canonical Tensor Decomposition for Knowledge Base Completion
Timothee Lacroix, Nicolas Usunier, Guillaume Obozinski
Binary Partitions with Approximate Minimum Impurity
Eduardo Laber, Marco Molinaro, Felipe Mello Pereira
Mixed batches and symmetric discriminators for GAN training
Thomas LUCAS, Corentin Tallec, Yann Ollivier et al.
Understanding the Loss Surface of Neural Networks for Binary Classification
SHIYU LIANG, Ruoyu Sun, Yixuan Li et al.
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
Xuhong LI, Yves Grandvalet, Franck Davoine
Data-Dependent Stability of Stochastic Gradient Descent
Ilja Kuzborskij, Christoph Lampert
Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings
Aviral Kumar, Sunita Sarawagi, Ujjwal Jain
Accurate Uncertainties for Deep Learning Using Calibrated Regression
Volodymyr Kuleshov, Nathan Fenner, Stefano Ermon
Fast Maximization of Non-Submodular, Monotonic Functions on the Integer Lattice
Alan Kuhnle, J. David Smith, Victoria Crawford et al.
Semiparametric Contextual Bandits
Akshay Krishnamurthy, Zhiwei Steven Wu, Vasilis Syrgkanis
Dynamic Evaluation of Neural Sequence Models
Ben Krause, Emmanuel Kahembwe, Iain Murray et al.
Compiling Combinatorial Prediction Games
Frederic Koriche
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Risi Kondor, Shubhendu Trivedi
Nonconvex Optimization for Regression with Fairness Constraints
Junpei Komiyama, Akiko Takeda, Junya Honda et al.
Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework
Arman Sharifi Kolarijani, Peyman Mohajerin Esfahani, Tamas Keviczky
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection
Jeremias Knoblauch, Theodoros Damoulas
Crowdsourcing with Arbitrary Adversaries
Matthaeus Kleindessner, Pranjal Awasthi
An Alternative View: When Does SGD Escape Local Minima?
Bobby Kleinberg, Yuanzhi Li, Yang Yuan
Neural Relational Inference for Interacting Systems
Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang et al.