A Distributed Second-Order Algorithm You Can Trust
Comments appearing at ICML 2018 - Proceedings of the 35th International Conference on Machine Learning, Stockholm, Schweden, PMLR 80, 2018
期刊&会议
ICML
International Conference on Machine Learning · 会议 · Machine Learning
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems
Comments presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden
Defining Locality for Surrogates in Post-hoc Interpretablity
Comments presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden
Contrastive Explanations with Local Foil Trees
Comments presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden
Constant-Time Predictive Distributions for Gaussian Processes
Comments ICML 2018
SparseMAP: Differentiable Sparse Structured Inference
Comments Published in ICML 2018. 14 pages, including appendix
Learning Equations for Extrapolation and Control
Comments 9 pages, 9 figures, ICML 2018
Mixed batches and symmetric discriminators for GAN training
Comments Accepted at ICML 2018 (long oral)
Instance-Level Explanations for Fraud Detection: A Case Study
Comments presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden
Continual Reinforcement Learning with Complex Synapses
Comments Accepted at ICML 2018
Robust Probabilistic Modeling with Bayesian Data Reweighting
Comments In ICML 2017. Updated related work
Deep Neural Decision Trees
Comments presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden
Using Mode Connectivity for Loss Landscape Analysis
Comments Accepted as a workshop paper at ICML's Workshop on Modern Trends in Nonconvex Optimization for Machine Learning, 2018
Towards Gene Expression Convolutions using Gene Interaction Graphs
Comments 4 pages +1 page references, To appear in the International Conference on Machine Learning Workshop on Computational Biology, 2018
Implicit Quantile Networks for Distributional Reinforcement Learning
Comments ICML 2018
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
Comments ICML 2018
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling
Comments ICML 2018
Comparison-Based Random Forests
Comments Accepted at ICML 2018, camera-ready version (32 pages, 14 figures)
Subspace Embedding and Linear Regression with Orlicz Norm
Comments ICML 2018
Gated Path Planning Networks
Comments ICML 2018
Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data
Comments ICML 2018 Workshop
Image Transformer
Comments Appears in International Conference on Machine Learning, 2018. Code available at https://github.com/tensorflow/tensor2tensor
On the Power of Over-parametrization in Neural Networks with Quadratic Activation
Comments Accepted by ICML 2018
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima
Comments Accepted by ICML 2018
Techniques for visualizing LSTMs applied to electrocardiograms
Comments presented at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018), Stockholm, Sweden
Structured low-rank matrix learning: algorithms and applications
Comments Accepted in ICML'18
Learning in POMDPs with Monte Carlo Tree Search
Journal ref Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1819-1827, 2017
Stochastic Variance-Reduced Policy Gradient
Journal ref Proceedings of the 35 th International Conference on Machine Learning, Stockholm, Sweden, PMLR 80, 2018
Autoregressive Quantile Networks for Generative Modeling
Comments ICML 2018
Low-rank geometric mean metric learning
Comments Accepted to the geometry in machine learning (GiMLi) workshop at ICML 2018
