← Authors

Xiaojin Zhu

59 papers · 2007–2024 · 12 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (17) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (12) πŸ—ΊοΈ Taxonomy Completionist (24) 🌟 Keyword Trendsetter Combo (6) 🀝 Dynamic Duo (11) πŸ† Keyword Champion (3) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (10) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (18) ⚑ Prolific Year (6) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (88) πŸ’Ž Century Club (59)

Conferences

NIPS (19) AAAI (7) AISTATS (7) ICML (7) IJCAI (6) NAACL (5) CONLL (2) JMLR (2) ACL (1) COLT (1) EMNLP (1) L4DC (1)

Top co-authors

Xuezhou Zhang (11) Robert Nowak (8) Yuzhe Ma (8) Adish Singla (7) Yiding Chen (6) Jeremy McMahan (4) Young Wu (4) Kwang-Sung Jun (4) Qiaomin Xie (4) Ji Liu (3)

Research topics

Education (3) Privacy (2) Applications (1)

Keywords

adversarial attack (11) reinforcement learning (8) teaching dimension (6) active learning (4) human learning (4) machine teaching (4) semi-supervised learning (4) model predictive control (3) sample complexity (3) offline reinforcement learning (3) multi-agent system (3) cognitive modeling (3) adversarial learning (3) data poisoning (3) poisoning attack (3) feature space (2) learning theory (2) category learning (2) curriculum learning (2) game theory (2)

Papers

On the Complexity of Teaching a Family of Linear Behavior Cloning Learners NIPS 2024
Anytime-Constrained Reinforcement Learning AISTATS 2024
Data Poisoning to Fake a Nash Equilibria for Markov Games AAAI 2024
Optimal Attack and Defense for Reinforcement Learning AAAI 2024
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024
Mechanism Design for Collaborative Normal Mean Estimation NIPS 2023
Reward Poisoning Attacks on Offline Multi-Agent Reinforcement Learning AAAI 2023
Byzantine-Robust Online and Offline Distributed Reinforcement Learning AISTATS 2023
Dream the Impossible: Outlier Imagination with Diffusion Models NIPS 2023
Out-of-Distribution Detection with Deep Nearest Neighbors ICML 2022
Corruption-robust Offline Reinforcement Learning AISTATS 2022
Provable Defense against Backdoor Policies in Reinforcement Learning NIPS 2022
Game Redesign in No-regret Game Playing IJCAI 2022
The Sample Complexity of Teaching by Reinforcement on Q-Learning AAAI 2021
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks JMLR 2021
Robust Policy Gradient against Strong Data Corruption ICML 2021
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems AAAI 2021
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning ICML 2020
Adaptive Reward-Poisoning Attacks against Reinforcement Learning ICML 2020
Optimal Attack against Autoregressive Models by Manipulating the Environment AAAI 2020
Online Data Poisoning Attacks L4DC 2020
An Optimal Control Approach to Sequential Machine Teaching AISTATS 2019
Data Poisoning against Differentially-Private Learners: Attacks and Defenses IJCAI 2019
Policy Poisoning in Batch Reinforcement Learning and Control NIPS 2019
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models NIPS 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning NIPS 2019
Teaching a black-box learner ICML 2019
Adversarial Attacks on Stochastic Bandits NIPS 2018
Teacher Improves Learning by Selecting a Training Subset AISTATS 2018
No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously IJCAI 2017
The Teaching Dimension of Linear Learners JMLR 2016
Active Learning with Oracle Epiphany NIPS 2016
Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls AISTATS 2016
The Teaching Dimension of Linear Learners ICML 2016
The Label Complexity of Mixed-Initiative Classifier Training ICML 2016
Stochastic Multiresolution Persistent Homology Kernel IJCAI 2016
S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification COLT 2015
The Security of Latent Dirichlet Allocation AISTATS 2015
Human Memory Search as Initial-Visit Emitting Random Walk NIPS 2015
Optimal Teaching for Limited-Capacity Human Learners NIPS 2014
Persistent Homology: An Introduction and a New Text Representation for Natural Language Processing IJCAI 2013
An Examination of Regret in Bullying Tweets NAACL 2013
Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract) IJCAI 2013
Machine Teaching for Bayesian Learners in the Exponential Family NIPS 2013
Behavioral Factors in Interactive Training of Text Classifiers NAACL 2012
Learning from Bullying Traces in Social Media NAACL 2012
How Do Humans Teach: On Curriculum Learning and Teaching Dimension NIPS 2011
Learning Higher-Order Graph Structure with Features by Structure Penalty NIPS 2011
Humans Learn Using Manifolds, Reluctantly NIPS 2010
Transduction with Matrix Completion: Three Birds with One Stone NIPS 2010
May All Your Wishes Come True: A Study of Wishes and How to Recognize Them NAACL 2009
Human Rademacher Complexity NIPS 2009
Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout CONLL 2008
Learning Bigrams from Unigrams ACL 2008
Unlabeled data: Now it helps, now it doesn't NIPS 2008
Human Active Learning NIPS 2008
Improving Diversity in Ranking using Absorbing Random Walks NAACL 2007
A Topic Model for Word Sense Disambiguation EMNLP 2007
A Topic Model for Word Sense Disambiguation CONLL 2007