Developing Bug-Free Machine Learning Systems With Formal Mathematics
Comments To appear at the Thirty-fourth International Conference on Machine Learning (ICML) 2017
作者
Percy Liang
Natural Language Processing
Synthesizing Program Input Grammars
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood
Comments Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (2017)
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings
Comments ACL 2017
Naturalizing a Programming Language via Interactive Learning
Comments 10 pages, ACL2017
Inferring Logical Forms From Denotations
Comments Published at the Association for Computational Linguistics (ACL) conference, 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Comments To appear in Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Convexified Convolutional Neural Networks
Comments 29 pages
How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions
Journal ref ACL (2016), 578-587
Estimation from Indirect Supervision with Linear Moments
Comments 12 pages, 7 figures, extended and updated version of our paper appearing in ICML 2016
Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings
Comments ACL 2016, Removed the duplicate author name of the previous version
Simpler Context-Dependent Logical Forms via Model Projections
Comments 10 pages, ACL 2016
Unsupervised Risk Estimation Using Only Conditional Independence Structure
Comments 15 pages
Data Recombination for Neural Semantic Parsing
Comments ACL 2016
Learning Language Games through Interaction
Comments 11 pages, ACL 2016
Estimating Mixture Models via Mixtures of Polynomials
Comments NIPS 2015
Learning Executable Semantic Parsers for Natural Language Understanding
Comments Accepted to the Communications of the ACM
Data Augmentation via Levy Processes
On-the-Job Learning with Bayesian Decision Theory
Comments As appearing in NIPS 2015
Traversing Knowledge Graphs in Vector Space
Comments 2015 Conference on Empirical Methods on Natural Language Processing (EMNLP)
Compositional Semantic Parsing on Semi-Structured Tables
Tensor Factorization via Matrix Factorization
Comments Appearing in Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS) 2015, San Diego, CA, USA. JMLR: W&CP volume 38
Learning Fast-Mixing Models for Structured Prediction
Reified Context Models
The Statistics of Streaming Sparse Regression
Altitude Training: Strong Bounds for Single-Layer Dropout
Comments Advances in Neural Information Processing Systems (NIPS), 2014
Relaxations for inference in restricted Boltzmann machines
Comments ICLR 2014 workshop track submission
Dropout Training as Adaptive Regularization
Comments 11 pages. Advances in Neural Information Processing Systems (NIPS), 2013
Lambda Dependency-Based Compositional Semantics
Spectral Experts for Estimating Mixtures of Linear Regressions
Comments Accepted at ICML 2013. Includes supplementary material
