Matthias Grossglauser
21 papers · 2015–2026 · 9 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (53) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Keyword Champion
(2)
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Keyword Collector
(115)
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Trend Setter
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Century Club · Bronze
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Prolific Year · Productive
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Renaissance Researcher
(7)
Top co-authors
Research topics
Machine Learning
(17)
Artificial Intelligence
(11)
Core Methods
(8)
Core AI
(7)
Learning Types
(7)
Optimization & Theory
(7)
Data Science & Analytics
(6)
Mathematics & Optimization
(6)
Applications
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Bayesian & Probabilistic · Machine Learning
(4)
Mathematics
(4)
Deep Learning
(2)
Methods
(2)
Optimization
(2)
Keywords
pairwise comparison
(5)
bayesian inference
(3)
point process
(2)
multivariate hawkes process
(2)
maximum likelihood
(2)
causal structure
(2)
recommender system
(2)
maximum likelihood estimation
(2)
preference learning
(2)
variational inference
(2)
event sequence
(2)
comparison-based search
(2)
discrete choice model
(2)
query complexity
(2)
community detection
(1)
bias detection
(1)
matrix factorization
(1)
sample complexity
(1)
semantic analysis
(1)
active learning
(1)
Papers
Ranking Items from Discrete Ratings: The Cost of Unknown User Thresholds
ALT 2026
Recycling History: Efficient Recommendations from Contextual Dueling Bandits
ALT 2026
Efficiently Escaping Saddle Points for Policy Optimization
UAI 2025
Hierarchical Reinforcement Learning with Targeted Causal Interventions
ICML 2025
Measuring IIA Violations in Similarity Choices with Bayesian Models
UAI 2025
Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization
ICML 2025
Causal Effect Identification in a Sub-Population with Latent Variables
NeurIPS 2024
Discovering Lobby-Parliamentarian Alignments through NLP
NAACL 2024
Fast Interactive Search under a Scale-Free Comparison Oracle
UAI 2024
It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons
EACL 2024
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models
COLT 2024
Why the Metric Backbone Preserves Community Structure
NeurIPS 2024
A Variational Inference Approach to Learning Multivariate Wold Processes
AISTATS 2021
Cumulants of Hawkes Processes are Robust to Observation Noise
ICML 2021
Scalable and Efficient Comparison-based Search without Features
ICML 2020
Learning Hawkes Processes from a handful of events
NeurIPS 2019
Learning Hawkes Processes Under Synchronization Noise
ICML 2019
ChoiceRank: Identifying Preferences from Node Traffic in Networks
ICML 2017
Just Sort It! A Simple and Effective Approach to Active Preference Learning
ICML 2017
Collaborative Recurrent Neural Networks for Dynamic Recommender Systems
ACML 2016
Fast and Accurate Inference of Plackett–Luce Models
NeurIPS 2015