Ramji Venkataramanan
Professor of Information Engineering
Works on information theory, high-dimensional statistics and statistical machine learning, including approximate message passing for inference.
Ramji Venkataramanan's lab at Cambridge works on learning theory & optimization, signal processing & information theory and efficient training & inference. 22 papers since 2023, 7 at top venues, mostly ICML and JMLR. 2 PhD students. 7 alumni. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 32%
- PhD students
- 2
- MS students
- 0
- alumni listed
- 7
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 2 · collecting
- 5 papers2025 · T1 1
- 4 papers2024 · T1 1
- 4 papers2023 · T1 3
T1 venuesOtherVenues: ICML, JMLR, AISTATS, COLT, ISIT
Research focuspaper titles that use each topic's words
- approximate8 papers
- Efficient training & inference1 paper
- Learning theory & optimization0 papers
- Signal processing & information theory0 papers
- high-dimensional statistics0 papers
Paper list
From the lab homepage.
20269 papers
- NeurIPS (T1)Diffusion Models Observe Only Gradients: A Geometric Perspective on Score Matching Errors
- —Inferring Change Points in Regression via Sample Weighting
- IEEE Information Theory WorkshopLossy Compression via Sparse Regression Codes: Generalized Construction and Finite-length Bounds
- IEEE Transactions on Information TheoryMany-User Multiple Access with Random User Activity: Achievability Bounds and Efficient Schemes
- —Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
- —Precise Asymptotics for Dense High-Dimensional Huber Regression under Heteroscedasticity
- SIAM Journal on Mathematics of Data SciencePrecise Asymptotics for Spectral Methods in Mixed Generalized Linear Models
- ICML (T1)Quantifying Error Propagation and Model Collapse in Diffusion Models
- NeurIPS (Spotlight).Recursively Trained Diffusion Models: Limiting Collapse Distribution and Spectral Characterization
20255 papers
- to appear in Information Theory, Probability and Statistical Learning: A Festschrift in Honor of Andrew BarronCoded many-user multiple access via Approximate Message Passing
- JMLR (T1)Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
- IEEE Transactions on Information TheoryQuantitative Group Testing and Pooled Data in the Linear Regime with Sublinear Tests
- PLOS Biology, MayRhythm profiling using COFE reveals multi-omic circadian rhythms in human cancers in vivo
- Mathematical Statistics and LearningSpectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
20244 papers
- SIAM Journal on Mathematics of Data ScienceApproximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing
- IEEE Transactions on Information TheoryBayes-Optimal Estimation in Generalized Linear Models via Spatial Coupling
- ICML (T1)Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing
- ISITMany-User Multiple Access with Random User Activity
20234 papers
- AISTATS (T1)Mixed Linear Regression via Approximate Message Passing
- JMLR (T1)Mixed Regression via Approximate Message Passing
- IEEE Transactions on Information TheorySketching sparse low-rank matrices with near-optimal sample- and time-complexity
- COLT (T1)Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression
Where alumni went7 listed
Apply to CambridgeMichaelmas 2027
PhD in Computer Science
- Round
- Funding round (8 Dec 2026)
- Opens
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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