Skip to content
conftrace_

Liu Leqi

15 papers · 2018–2025 · 7 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

Jump to papers ↓
+4 more ↓ πŸ—ΊοΈ Taxonomy Completionist (28) 🌍 Conference Polyglot Β· Silver 🐣 Hot Topic Early Bird πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze
πŸ† Grand Slam πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (75)

Venues

NeurIPS (5) ICML (4) ICLR (2) AAAI (1) AISTATS (1) EMNLP (1) UAI (1)

Top co-authors

Zachary Lipton (5) Kamyar Azizzadenesheli (3) Pradeep K Ravikumar (3) Audrey Huang (3) Pradeep Ravikumar (2) Bryon Aragam (2) Adarsh Prasad (2) Kun Zhang (2) Zeyu Tang (1) Yifan Zeng (1)

Research topics

Machine Learning (13) Optimization & Theory (9) Artificial Intelligence (6) Core AI (6) Learning Types (6) Application Areas (5) Reinforcement Learning (3) Core Methods (3) Methods (3) Data Science & Analytics (2) Applications (2) Deep Learning (1) Architectures (1)

Keywords

conditional value at risk (3) latent space (2) multi-armed bandit (2) large language model (2) uniform convergence (2) markov decision process (2) cumulative distribution function (2) doubly robust estimator (2) risk measure (2) off-policy evaluation (2) risk assessment (2) preference optimization (1) variational inference (1) sample complexity (1) prompt engineering (1) behavioral economics (1) online learning (1) reinforcement learning (1) sequential decision making (1) llm evaluation (1)

Papers

A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement ICLR 2025 EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations ICML 2025 Prompting Fairness: Integrating Causality to Debias Large Language Models ICLR 2025 The Progress Illusion: Revisiting meta-evaluation standards of LLM evaluators EMNLP 2025 Action-Sufficient State Representation Learning for Control with Structural Constraints ICML 2022 Modeling Attrition in Recommender Systems with Departing Bandits AAAI 2022 Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022 Supervised Learning with General Risk Functionals ICML 2022 Off-Policy Risk Assessment in Contextual Bandits NeurIPS 2021 Rebounding Bandits for Modeling Satiation Effects NeurIPS 2021 Automated Dependence Plots UAI 2020 Uniform Convergence of Rank-weighted Learning ICML 2020 Game Design for Eliciting Distinguishable Behavior NeurIPS 2019 On Human-Aligned Risk Minimization NeurIPS 2019 The Sample Complexity of Semi-Supervised Learning with Nonparametric Mixture Models NeurIPS 2018