Jacob Abernethy
Associate Professor
Studies the mathematics of machine learning and its links to game theory, online optimization, statistics and economics.
Jacob Abernethy's lab at Georgia Tech works on learning theory & optimization, reasoning & neuro-symbolic AI and computational social science. 15 papers since 2023, 6 at top venues, mostly AISTATS and NeurIPS. 1 PhD student. 11 alumni. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 40%
- PhD students
- 1
- MS students
- 0
- alumni listed
- 11
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 3 papers2025 · T1 1
- 4 papers2024 · T1 2
- 6 papers2023 · T1 3
T1 venuesOtherVenues: AISTATS, NeurIPS, ALT, COLT, ICML
Research focuspaper titles that use each topic's words
- Learning theory & optimization9 papers
- Reasoning & neuro-symbolic AI1 paper
- Computational social science0 papers
- links0 papers
- economics0 papers
Paper list
From the lab homepage.
20262 papers
- American Journal of Primatology. Published online July 28, . DOI: 10.1002/ajp.70194.CapuchinAI 1.0: Development of a machine learning-based touchscreen paradigm to test cognition in wild capuchins (opens in a new tab)
- International Conference on Algorithmic Learning Theory (ALT ). Accepted.Multi-distribution learning: from worst-case optimality to lexicographic min-max optimality (opens in a new tab)
20253 papers
- ICML (T1)Can transformers reason logically? A study in SAT solving (opens in a new tab)
- Mathematical Programming. Published online October 9, . DOI: 10.1007/s10107-025-02283-4.Faster margin maximization rates for generic and adversarially robust optimization methods (opens in a new tab)
- Proceedings of the GENZERO Workshop: Revolutionizing Autonomous Systems with Generative AI, 147-154. DOI: 10.1007/978-981-95-1050-4_18.Symbolic constraint-solving capabilities of transformer large language models (opens in a new tab)
20244 papers
- ALTA mechanism for sample-efficient in-context learning for sparse retrieval tasks (opens in a new tab)
- AISTATS (T1)Extragradient type methods for Riemannian variational inequality problems (opens in a new tab)
- AISTATS (T1)Lexicographic optimization: algorithms and stability (opens in a new tab)
- Mathematical Programming, 205 (1-2), 203-268.No-regret dynamics in the Fenchel game: a unified framework for algorithmic convex optimization (opens in a new tab)
20236 papers
- IEEE Data Engineering Bulletin, 46 (1), 79-123.Accelerated federated optimization with quantization (opens in a new tab)
- Proceedings of IEEE CogMI , 1-10. DOI: 10.1109/CogMI58952. .00011.Artificial intelligence for climate smart forestry: a forward looking vision (opens in a new tab)
- NeurIPS (T1)Faster margin maximization rates for generic optimization methods (opens in a new tab)
- COLT (T1)Minimizing dynamic regret on geodesic metric spaces (opens in a new tab)
- International Conference on Learning Representations (ICLR ).On accelerated perceptrons and beyond (opens in a new tab)
- NeurIPS (T1)Riemannian projection-free online learning (opens in a new tab)
Where alumni went11 listed
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- SGNUS
Vincent Y. F. Tan
- Learning theory & optimization
- GBOxford
Giuseppe De Giacomo
- Reasoning & neuro-symbolic AI
- USUT Austin
Ray Mooney
- Multilingual, translation & linguistics
- CNTsinghua
Yuantao Gu
- Learning theory & optimization
- USUCLA
Cho-Jui Hsieh
- Trustworthy & safe ML
- CHEPFL
Florent Krzakala
- Learning theory & optimization
Your notes
Save this lab to keep notes.
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.
Georgia Techcloses