Varun Kanade
Associate Professor of Computer Science
Studies computational learning theory and the foundations of deep learning, together with randomised algorithms.
Varun Kanade's lab at Oxford works on learning theory & optimization. 7 papers since 2023, 4 at top venues, mostly NeurIPS and ACL. 7 alumni. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 57%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 7
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 1 papers2025 · T1 0
- 3 papers2024 · T1 2
- 3 papers2023 · T1 2
T1 venuesOtherVenues: NeurIPS, ACL, ICLR
Research focuspaper titles that use each topic's words
- Learning theory & optimization1 paper
- together0 papers
- studies computational0 papers
- foundations0 papers
- learning theory0 papers
Paper list
From the lab homepage.
20251 paper
- In the Annual Symposium on the Foundations of Computer Science (to appear), FOCSHow Global Calibration Strengthens Multiaccuracy
20243 papers
- Journal of Machine Learning Research (JMLR), 25(388); 1-43Exponential Tail Local Rademacher Complexity Risk Bounds Without the Bernstein Condition (opens in a new tab)
- NeurIPS (T1)Separations in the Representational Capabilities of Transformers and Recurrent Architectures (opens in a new tab)
- ICLR (T1)Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
20233 papers
- NeurIPS (T1)Partial Matrix Completion (opens in a new tab)
- ACL (T1)Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions
- Information and Inference: A Journal of the IMA.The Statistical Complexity of Early Stopped Mirror Descent (opens in a new tab)
Where alumni went7 listed
Apply to Oxford2027-28
DPhil in Computer Science
- Round
- 2027-28 entry (January round)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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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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