Yeshwanth Cherapanamjeri
Nanyang Assistant Professor
Designs efficient algorithms for statistics and machine learning with imperfect data, such as robust and heavy-tailed estimation.
Yeshwanth Cherapanamjeri's lab at NTU works on learning theory & optimization, trustworthy & safe ML and efficient training & inference. 14 papers since 2023, 13 at top venues, mostly ICLR and COLT.
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 93%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 3 · collecting
- 4 papers2025 · T1 4
- 2 papers2024 · T1 2
- 5 papers2023 · T1 4
T1 venuesOtherVenues: ICLR, COLT, NeurIPS, FOCS, SODA
Research focuspaper titles that use each topic's words
- Learning theory & optimization2 papers
- Efficient training & inference1 paper
- Trustworthy & safe ML0 papers
- imperfect0 papers
- designs efficient0 papers
Paper list
From the lab homepage.
20263 papers
- ICLR (T1)Learning Correlated Reward Models: Statistical Barriers and Opportunities
- NeurIPS (T1)Phase Transitions in Heavy-Tailed Mean Estimation under \(\ell_p\) Norms
- NeurIPS (T1)Statistical Limits of Affine Equivariant Estimation
20254 papers
- ICLR (T1)Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
- COLT (T1)Heavy-tailed Contamination is Easier than Adversarial Contamination
- ICLR (T1)How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion
- COLT (T1)The Space Complexity of Learning-Unlearning Algorithms
20242 papers
- FOCS (T1)Computing Approximate Centerpoints in Polynomial Time
- ICLR (T1)Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
20235 papers
- SODA (T1)Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time
- Invited to SICOMP Special Issue for FOCSOptimal PAC Bounds without Uniform Convergence
- ICLR (T1)Robust Algorithms on Adaptive Inputs from Bounded Adversaries
- COLT (T1)The One-Inclusion Graph Algorithm is not Always Optimal
- STOC (T1)What Makes a Good Fisherman? Linear Regression under Self-Selection Bias
Where alumni went
Alumni are not listed on the lab homepage.
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
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Your notes
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Data
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- 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.