Jerry Li
Associate Professor
Studies theory of machine learning, including robust statistics, distribution learning and quantum learning.
Jerry Li's lab at UW works on learning theory & optimization and trustworthy & safe ML. 26 papers since 2023, 22 at top venues, mostly COLT and STOC. 3 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 85%
- PhD students
- 3
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 7 papers2026 · T1 6 · collecting
- 6 papers2025 · T1 3
- 4 papers2024 · T1 4
- 9 papers2023 · T1 9
T1 venuesOtherVenues: COLT, STOC, FOCS, NeurIPS, ICLR
Research focuspaper titles that use each topic's words
- Learning theory & optimization8 papers
- Trustworthy & safe ML0 papers
- studies theory0 papers
- quantum learning0 papers
- distribution0 papers
Paper list
From the lab homepage.
20267 papers
- COLT (T1)Density Estimation for Hellinger via Minimum-Distance Estimators: mixtures of Gaussians, log-concave, and more (opens in a new tab)
- STOC (T1)High-Accuracy List-Decodable Mean Estimation (opens in a new tab)
- to appear, FOCSLower Bounds for Learning Hamiltonians from Time Evolution (opens in a new tab)
- COLT (T1)Optimal Inference Schedules for Masked Diffusion Models (opens in a new tab)
- STOC (T1)Rigorous Implications of the Low-Degree Heuristic (opens in a new tab)
- COLT (T1)Separating Oblivious and Adaptive Models of Variable Selection (opens in a new tab)
- STOC (T1)The Power of Two Bases: Robust and copy-optimal certification of nearly all quantum states with few-qubit measurements (opens in a new tab)
20256 papers
- QIP , plenary presentationLearning the closest product state (opens in a new tab)
- QIP , merged with [CLL24]Optimal High-Precision Shadow Estimation (opens in a new tab)
- COLT (T1)Predicting quantum channels over general product distributions (opens in a new tab)
- NeurIPS (T1)Robust Estimation Under Heterogeneous Corruption Rates (opens in a new tab)
- ICML (T1)S4S: Solving for a Diffusion Model Solver (opens in a new tab)
- COLMThe Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains (opens in a new tab)
20244 papers
- STOC (T1)An optimal tradeoff between entanglement and copy complexity for state tomography (opens in a new tab)
- COLT (T1)Black-Box k -to-1 PCA Reductions: Theory and Applications (opens in a new tab)
- ICLR (T1)KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval (opens in a new tab)
- NeurIPS (T1)Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting (opens in a new tab)
20239 papers
- EMNLP (T1)Automatic Prompt Optimization with "Gradient Descent" and Beam Search (opens in a new tab)
- STOC (T1)Learning Polynomial Transformations (opens in a new tab)
- FOCS (T1)Matrix Completion in Almost-Verification Time (opens in a new tab)
- ICCV (T1)REAP: A Large-Scale Realistic Adversarial Patch Benchmark (opens in a new tab)
- ICLR (T1)Sampling Is as Easy as Learning the Score: Theory for Diffusion Models With Minimal Data Assumptions (opens in a new tab)
- COLT (T1)Semi-Random Sparse Recovery in Nearly-Linear Time (opens in a new tab)
- NeurIPS (T1)Structured Semidefinite Programming for Recovering Structured Preconditioners (opens in a new tab)
- FOCS (T1)The Full Landscape of Robust Mean Testing: Sharp Separations between Oblivious and Adaptive Contamination (opens in a new tab)
- FOCS (T1)When Does Adaptivity Help for Quantum State Learning? (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UWFall 2027
UW Allen School Computer Science PhD
- Round
- Single round
- Opens
- GRE
- not required
- 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
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- The alumni list could not be found on the lab site.
- Collected
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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