conftrace_

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46 papers

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Also known as

MDL

Co-occurring keywords

causal discovery (460) representation learning (6206) event sequence (55) model selection (456) causal inference (1630) unsupervised learning (3264) neural network (6616) kolmogorov complexity (9) variational inference (2069) learning theory (519)

Papers

Rissanen Data Analysis: Examining Dataset Characteristics via Description Length ICML 2021
Discovering Fully Oriented Causal Networks AAAI 2021
What’s in the Box? Exploring the Inner Life of Neural Networks with Robust Rules ICML 2021
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP EMNLP 2021
Information-Theoretic Probing with Minimum Description Length EMNLP 2020
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery ICML 2020
Towards Learning Convolutions from Scratch NIPS 2020
Introducing Routing Uncertainty in Capsule Networks NIPS 2020
Small Data, Big Decisions: Model Selection in the Small-Data Regime ICML 2020
Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar NAACL 2019
The Description Length of Deep Learning models NIPS 2018
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies NIPS 2018
Stochastic Generative Hashing ICML 2017
Barron and Cover’s Theory in Supervised Learning and its Application to Lasso ICML 2016
Information Geometry and Minimum Description Length Networks ICML 2015
Deep AutoRegressive Networks ICML 2014
Compressive Feature Learning NIPS 2013
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning JMLR 2011
Practical Variational Inference for Neural Networks NIPS 2011
Discrete MDL Predicts in Total Variation NIPS 2009
Information Bottleneck for Non Co-Occurrence Data NIPS 2006