Willie Neiswanger
Assistant Professor of Computer Science
Works on machine learning for decision making, Bayesian optimization and generative AI.
Willie Neiswanger's lab at USC works on reinforcement learning and learning theory & optimization. 20 papers since 2023, 18 at top venues, mostly ICLR and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 90%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 8 papers2026 · T1 7 · collecting
- 4 papers2025 · T1 4
- 2 papers2024 · T1 1
- 6 papers2023 · T1 6
T1 venuesOtherVenues: ICLR, NeurIPS, AAAI, ACL, EMNLP
Research focuspaper titles that use each topic's words
- Learning theory & optimization6 papers
- Reinforcement learning5 papers
- making2 papers
- decision making1 paper
- bayesian optimization0 papers
Paper list
From DBLP.
20268 papers
- Trans. Mach. Learn. Res.AI University: An LLM-Powered Learning Assistant for Engineering - A Finite Element Method Case Study (opens in a new tab)
- ICLR (T1)Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test (opens in a new tab)
- ICLR (T1)Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents (opens in a new tab)
- ICLR (T1)Hubble: a Model Suite to Advance the Study of LLM Memorization (opens in a new tab)
- ACL (T1)Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models (opens in a new tab)
- ICLR (T1)Tina: Tiny Reasoning Models via LoRA (opens in a new tab)
- KDD (T1)Trustworthy Protein-Ligand Binding Affinity Prediction via Reliability-Aware Multi-Engine Fusion (opens in a new tab)
- ICLR (T1)Zebra-CoT: A Dataset for Interleaved Vision-Language Reasoning (opens in a new tab)
20254 papers
- ICLR (T1)DeLLMa: Decision Making Under Uncertainty with Large Language Models (opens in a new tab)
- ICLR (T1)LiveBench: A Challenging, Contamination-Limited LLM Benchmark (opens in a new tab)
- EMNLP (T1)TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability (opens in a new tab)
- NeurIPS (T1)What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions (opens in a new tab)
20242 papers
20236 papers
- ICLR (T1)Betty: An Automatic Differentiation Library for Multilevel Optimization (opens in a new tab)
- ICLR (T1)Generative Modeling Helps Weak Supervision (and Vice Versa) (opens in a new tab)
- NeurIPS (T1)Importance-aware Co-teaching for Offline Model-based Optimization (opens in a new tab)
- NeurIPS (T1)Making Scalable Meta Learning Practical (opens in a new tab)
- ICLR (T1)Near-optimal Policy Identification in Active Reinforcement Learning (opens in a new tab)
- AAAI (T1)Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to USCFall 2027
Computer Science PhD (Viterbi)
- Round
- Single round (Dec 15)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Confirmed on the program page.
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Your notes
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Data
Some numbers could not be verified:
- 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
- DBLP
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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