Lise Getoor
35 papers · 2004–2024 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Conference Polyglot (10)
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
π
Conference Polyglot
(10)
π§¬
Topic Evolution
π
Keyword Champion
(7)
ποΈ
Keyword Collector
(128)
π
Conference Pioneer
π
Century Club
(35)
π₯
Unstoppable
(13)
π
Trend Setter
β‘
Prolific Year
(10)
Conferences
ICML (8)
ACL (6)
EMNLP (4)
IJCAI (4)
AAAI (3)
NIPS (3)
AISTATS (2)
IJCNLP (2)
JMLR (2)
UAI (1)
Top co-authors
Keywords
probabilistic soft logic
(7)
markov random field
(6)
structured prediction
(6)
graphical model
(4)
map inference
(4)
probabilistic graphical model
(4)
generalization bound
(3)
hinge-loss markov random field
(3)
statistical relational learning
(3)
templated graphical model
(2)
bayesian inference
(2)
dialogue system
(2)
collective stability
(2)
variational inference
(2)
latent variable
(2)
learning theory
(2)
structure learning
(2)
sentiment analysis
(1)
semi-supervised learning
(1)
convex optimization
(1)
Papers
Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning
ICML 2024
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
ACL 2023
NeuPSL: Neural Probabilistic Soft Logic
IJCAI 2023
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation
ICML 2023
CausalDialogue: Modeling Utterance-level Causality in Conversations
ACL 2023
Learning explainable templated graphical models
UAI 2022
D-REX: Dialogue Relation Extraction with Explanations
ACL 2022
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue
EMNLP 2022
Context-Aware Online Collective Inference for Templated Graphical Models
ICML 2021
Local Explanation of Dialogue Response Generation
NIPS 2021
Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference
AAAI 2020
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic
AAAI 2020
Lifted Hinge-Loss Markov Random Fields
AAAI 2019
Estimating Causal Effects of Tone in Online Debates
IJCAI 2019
Scalable Probabilistic Causal Structure Discovery
IJCAI 2018
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic
JMLR 2017
Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short
EMNLP 2017
Disambiguating Energy Disaggregation: A Collective Probabilistic Approach
IJCAI 2017
Stability and Generalization in Structured Prediction
JMLR 2016
Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums
ACL 2015
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees
AISTATS 2015
RELLY: Inferring Hypernym Relationships Between Relational Phrases
EMNLP 2015
Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs
ICML 2015
The Benefits of Learning with Strongly Convex Approximate Inference
ICML 2015
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
ICML 2015
HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades
ICML 2015
Weakly Supervised Models of Aspect-Sentiment for Online Course Discussion Forums
IJCNLP 2015
Joint Models of Disagreement and Stance in Online Debate
IJCNLP 2015
Joint Models of Disagreement and Stance in Online Debate
ACL 2015
PAC-Bayesian Collective Stability
AISTATS 2014
Collective Stability in Structured Prediction: Generalization from One Example
ICML 2013
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization
NIPS 2012
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning
NIPS 2010
Supervised and Unsupervised Methods in Employing Discourse Relations for Improving Opinion Polarity Classification
EMNLP 2009
Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models
ACL 2004