Yassir Jedra
Assistant Professor of Machine Learning
Develops statistical and algorithmic foundations for sequential learning and control of dynamical systems, including sample-efficient reinforcement learning.
Yassir Jedra's lab at Imperial works on reinforcement learning, learning theory & optimization and efficient training & inference. 8 papers since 2023, 5 at top venues, mostly NeurIPS and AISTATS. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 63%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 0 papers2025 · T1 0
- 3 papers2024 · T1 2
- 5 papers2023 · T1 3
T1 venuesOtherVenues: NeurIPS, AISTATS, Allerton, CDC, ICML
Research focuspaper titles that use each topic's words
- Reinforcement learning3 papers
- Learning theory & optimization3 papers
- Efficient training & inference0 papers
- algorithmic foundations0 papers
- sample-efficient0 papers
Paper list
From the lab homepage.
20243 papers
- IEEE Transactions on Mobile ComputingLearning Optimal Antenna Tilt: Control Policies: A Contextual Linear Bandit Approach
- ICML (T1)Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery
- NeurIPS (T1)Model free Low-rank RL via Leveraged Entry-wise Matrix Estimation
20235 papers
- CDCA tutorial on the non-asymptotic theory of System Identification
- AllertonBest Policy Identification in Linear MDPs
- TAC (T1)Finite-time Identification of Linear Systems: Fundamental Limits and Optimal Algorithms
- AISTATS (T1)Nearly Optimal Latent State Decoding in Block MDPs
- NeurIPS (T1)Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning
Where alumni went
Alumni are not listed on the lab homepage.
Apply to Imperial2027 (Apr/Oct)
Computing PhD
- Round
- Round 2 (1 Dec 2026)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Confirmed on the program page.
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Your notes
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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.
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