Matthias Grossglauser
Full Professor
Works on machine learning, stochastic networks and discrete choice models, with applications to reinforcement learning and network data.
Matthias Grossglauser's lab at EPFL works on reinforcement learning and signal processing & information theory. 13 papers since 2023, 10 at top venues, mostly NeurIPS and UAI. 4 PhD students. 15 alumni. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 77%
- PhD students
- 4
- MS students
- 0
- alumni listed
- 15
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 5
- 6 papers2024 · T1 5
- 1 papers2023 · T1 0
T1 venuesOtherVenues: NeurIPS, UAI, ICML, COLT, EACL
Research focuspaper titles that use each topic's words
- Reinforcement learning2 papers
- Signal processing & information theory0 papers
- network data0 papers
- choice0 papers
- discrete0 papers
Paper list
From the lab homepage.
20256 papers
- UAI (T1)Efficiently Escaping Saddle Points for Policy Optimization
- ICML (T1)Hierarchical Reinforcement Learning with Targeted Causal Interventions
- UAI (T1)Measuring IIA Violations in Similarity Choices with Bayesian Models
- NeurIPS (T1)Optimal Graph Clustering without Edge Density Signals
- ICML (T1)Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization
- Journal of the American Statistical Association (JASA), OctoberWhen Does Bottom-up Beat Top-down in Hierarchical Community Detection?
20246 papers
- NeurIPS (T1)Causal Effect Identification in a Sub-Population with Latent Variables
- NAACL (T1)Discovering Lobby-Parliamentarian Alignments through NLP
- UAI (T1)Fast Interactive Search under a Scale-Free Comparison Oracle
- EACLIt's All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons
- COLT (T1)Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models
- NeurIPS (T1)Why the Metric Backbone Preserves Community Structure
20231 paper
- ICLR WorkshopMining Effective Strategies for Climate Change Communication
Where alumni went15 listed
Apply to EPFLFall 2027
EDIC Computer and Communication Sciences PhD
- Round
- Round 1
- Opens
- —
- GRE
- optional
- English
- TOEFL 100 / IELTS 7.0
- Fee
- none
Confirmed on the program page.
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Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
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