Massimiliano Pontil
Professor of Computational Statistics & Machine Learning
Works on machine learning theory and algorithms, including multi-task learning, kernel methods and learning dynamical systems.
Massimiliano Pontil's lab at UCL works on learning theory & optimization. 11 papers since 2023, 8 at top venues, mostly NeurIPS and AISTATS.
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 73%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 2
- 6 papers2024 · T1 5
- 3 papers2023 · T1 1
T1 venuesOtherVenues: NeurIPS, AISTATS, ICLR, ICML, TPAMI
Research focuspaper titles that use each topic's words
- Learning theory & optimization5 papers
- kernel0 papers
- kernel methods0 papers
- dynamical0 papers
- dynamical systems0 papers
Paper list
From the lab homepage.
20252 papers
- AISTATS (T1)An empirical Bernstein inequality for dependent data in Hilbert spaces and applications
- ICLR (T1)Unlocking state-tracking in linear RNNs through negative eigenvalues
20246 papers
- NeurIPS (T1)From biased to unbiased dynamics: An infinitesimal generator approach
- Foundations and Trends in Machine LearningHyperparameter optimization in machine learning
- NeurIPS (T1)Neural conditional probability for uncertainty quantification
- ICML (T1)Nonsmooth implicit differentiation: Deterministic and stochastic convergence rates
- NeurIPS (T1)Operator world models for reinforcement learning
- TPAMI (T1)Robust meta-representation learning via global label inference and classification
20233 papers
- J. Machine Learning Research 24(167):1-37Bilevel optimization with a lower-level contraction: optimal sample complexity without warm-start
- AISTATS (T1)Multi-task representation learning with stochastic linear bandits
- Mathematics in Engineering 5(3):1-22Reexamining low rank matrix factorization for trace norm regularization
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCLFall 2027
Not announced yet
Computer Science MPhil/PhD
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- Main
- Opens
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- GRE
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- English
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- Fee
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Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.