Yucen Lily Li

5 papers · 2020–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

ICLR (2) AISTATS (1) ICML (1) PGM (1)

Top co-authors

Andrew Gordon Wilson (4) Tim G. J. Rudner (3) Alan Nawzad Amin (1) Yilun Kuang (1) Nimar S. Arora (1) Nazanin Tehrani (1) Shikai Qiu (1) Calvin McCarter (1) Ravid Shwartz-Ziv (1) Daohan Lu (1)

Research topics

Artificial Intelligence (4) Machine Learning (4) Bayesian & Probabilistic · Artificial Intelligence (4) Optimization & Theory (2) Computer Science (1) Deep Learning (1) Bayesian & Probabilistic · Machine Learning (1) Core AI (1) Core Methods (1) Foundations (1) Learning Types (1) Models (1)

Keywords

bayesian optimization (2) variational inference (1) probabilistic inference (1) model calibration (1) markov chain monte carlo (1) gaussian process (1) sequential monte carlo (1) classifier (1) selective prediction (1) hamiltonian monte carlo (1) generative model (1) latent variable (1) surrogate model (1) bayesian neural network (1) antibody design (1) ood detection (1) protein engineering (1) declarative programming (1) predictive uncertainty (1) semantic shift detection (1)

Papers

Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences ICLR 2025 Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable AISTATS 2025 Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection ICML 2025 A Study of Bayesian Neural Network Surrogates for Bayesian Optimization ICLR 2024 Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference PGM 2020