Guillaume Bouchard
13 papers · 2009–2018 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (25) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🌟
Keyword Trendsetter Combo
(3)
🧬
Topic Evolution
🏆
Keyword Champion
🧭
Keyword Pioneer
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
📈
Trend Setter
🗃️
Keyword Collector
(58)
🌈
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(6)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Deep Learning
(2)
Knowledge & Reasoning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Models
(2)
Representation
(2)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Applications
(1)
Core AI
(1)
Keywords
matrix factorization
(3)
variational inference
(3)
complex embedding
(2)
link prediction
(2)
relational learning
(2)
bayesian matrix factorization
(1)
multi-task learning
(1)
factor analysis
(1)
asymptotic analysis
(1)
bayesian inference
(1)
text classification
(1)
opinion mining
(1)
convex optimization
(1)
collaborative filtering
(1)
em algorithm
(1)
regularization
(1)
question answering
(1)
expectation maximization
(1)
learning theory
(1)
statistical learning
(1)
Papers
Interpretation of Natural Language Rules in Conversational Machine Reading
EMNLP 2018
Knowledge Graph Completion via Complex Tensor Factorization
JMLR 2017
Complex Embeddings for Simple Link Prediction
ICML 2016
Learning to Generate Textual Data
EMNLP 2016
SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods
COLING 2016
Matrix and Tensor Factorization Methods for Natural Language Processing
ACL 2015
Convex Collective Matrix Factorization
AISTATS 2013
Structured Penalties for Log-Linear Language Models
EMNLP 2013
Exact Sampling and Decoding in High-Order Hidden Markov Models
EMNLP 2012
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models
AISTATS 2012
Robust Bayesian Matrix Factorisation
AISTATS 2011
Variational bounds for mixed-data factor analysis
NeurIPS 2010
Asymptotically Optimal Regularization in Smooth Parametric Models
NeurIPS 2009