Sivaraman Balakrishnan
Professor
Studies statistical machine learning theory, including nonparametric and non-convex estimation.
Sivaraman Balakrishnan's lab at CMU works on learning theory & optimization and data management & big data. 12 papers since 2023. 8 alumni. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 0%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 8
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 0
- 0 papers2024 · T1 0
- 10 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Learning theory & optimization1 paper
- Data management & big data0 papers
- non-convex0 papers
- nonparametric0 papers
- studies statistical0 papers
Paper list
From the lab homepage.
20252 papers
- Journal of Causal InferenceConservative Inference for Counterfactuals (opens in a new tab)
- Annals of StatisticsSemi-Supervised U-statistics (opens in a new tab)
202310 papers
- Neural Information Processing Systems (NeurIPS)Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift (opens in a new tab)
- Electronic Journal of StatisticsConditional Independence Testing for Discrete Distributions: Beyond Chi-Squared and G-tests (opens in a new tab)
- Artificial Intelligence and Statistics (AISTATS)Domain Adaptation under Missingness Shift (opens in a new tab)
- BiometrikaMedian Regularity and Honest Inference (opens in a new tab)
- Information and InferenceMinimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps on Neighborhood Graphs (opens in a new tab)
- Information and InferenceNearly Minimax Optimal Wasserstein Conditional Independence Testing (opens in a new tab)
- Neural Information Processing Systems (NeurIPS)Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms (opens in a new tab)
- International Conference on Machine Learning (ICML)RLSbench: Domain Adaptation Under Relaxed Label Shift (opens in a new tab)
- BiometrikaSemiparametric Counterfactual Density Estimation (opens in a new tab)
- Statistical ScienceThe Fundamental Limits of Structure-Agnostic Functional Estimation (opens in a new tab)
Where alumni went8 listed
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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0 T1
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- The lab homepage
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