Guillaume Bouchard
15 papers · 2009–2018 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge π Academic Marathon (9)
π
Conference Polyglot
(9)
π
Academic Marathon
(9)
π
Renaissance Researcher
(7)
π
Keyword Trendsetter Combo
(3)
π§¬
Topic Evolution
π
Keyword Champion
π₯
Unstoppable
(5)
π
Century Club
(15)
ποΈ
Keyword Collector
(57)
π
Trend Setter
Conferences
EMNLP (4)
AISTATS (3)
NIPS (2)
ACL (1)
COLING (1)
CONLL (1)
ICML (1)
IJCNLP (1)
JMLR (1)
Top co-authors
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
SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods
COLING 2016
Learning to Generate Textual Data
EMNLP 2016
Matrix and Tensor Factorization Methods for Natural Language Processing
ACL 2015
Matrix and Tensor Factorization Methods for Natural Language Processing
IJCNLP 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
CONLL 2012
Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models
AISTATS 2012
Exact Sampling and Decoding in High-Order Hidden Markov Models
EMNLP 2012
Robust Bayesian Matrix Factorisation
AISTATS 2011
Variational bounds for mixed-data factor analysis
NIPS 2010
Asymptotically Optimal Regularization in Smooth Parametric Models
NIPS 2009