Jonathan Chang

11 papers · 2007–2022 · 6 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (15)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🏆 Keyword Champion 👥 Mega-Team (40) 🗃️ Keyword Collector (55) 📈 Trend Setter 💎 Century Club (11) 🚀 Conference Pioneer

Conferences

NIPS (4) ICML (2) JMLR (2) ACL (1) ICLR (1) SEMEVAL (1)

Top co-authors

Wen Sun (3) Rahul Kidambi (2) Stanislav Funiak (2) Deepayan Chakrabarti (2) Ryan Teehan (1) Arnaud Stiegler (1) Albert Webson (1) Antoine Bordes (1) Sheng Shen (1) Andrea Santilli (1)

Keywords

imitation learning (2) unsupervised learning (2) topic model (2) multi-label classification (2) label propagation (2) semi-supervised learning (2) social network (2) model-based learning (1) probabilistic modeling (1) stochastic gradient descent (1) probabilistic inference (1) interpretability (1) hierarchical representation (1) topic modeling (1) text classification (1) document clustering (1) behavior cloning (1) sentiment analysis (1) policy learning (1) binary classification (1)

Papers

Multitask Prompted Training Enables Zero-Shot Task Generalization ICLR 2022 Learning Bellman Complete Representations for Offline Policy Evaluation ICML 2022 Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage NIPS 2021 MobILE: Model-Based Imitation Learning From Observation Alone NIPS 2021 Conversations Gone Awry: Detecting Early Signs of Conversational Failure ACL 2018 Joint Label Inference in Networks JMLR 2017 Joint Inference of Multiple Label Types in Large Networks ICML 2014 Learning a Concept Hierarchy from Multi-labeled Documents NIPS 2014 Erratum: SGDQN is Less Careful than Expected JMLR 2010 Reading Tea Leaves: How Humans Interpret Topic Models NIPS 2009 PU-BCD: Exponential Family Models for the Coarse- and Fine-Grained All-Words Tasks SEMEVAL 2007