← Authors

Long Tran-Thanh

36 papers · 2013–2025 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (10) 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (8) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (140) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ’Ž Century Club (36) πŸ”₯ Unstoppable (11) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

IJCAI (15) NIPS (9) AAAI (8) ALT (1) CVPR (1) ICLR (1) ICML (1)

Top co-authors

Bo An (5) Nicholas R. Jennings (5) Hau Chan (4) Qingyu Guo (4) Debmalya Mandal (4) Massimo Franceschetti (3) Nicholas Bishop (3) The Anh Ta (3) Anshuka Rangi (3) Jiarui Gan (3)

Research topics

Privacy (1)

Keywords

regret bound (9) multi-armed bandit (7) online learning (4) multi-agent system (4) resource allocation (4) game theory (4) semi-bandit feedback (3) adversarial learning (3) security game (3) crowdsourced classification (2) mixed-integer programming (2) network interdiction (2) stackelberg security game (2) approximation algorithm (2) poisoning attack (2) network security (2) stochastic optimization (2) linear programming (2) bandit feedback (2) stackelberg game (2)

Papers

DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle ICLR 2025
Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback AAAI 2025
Provably Improving Generalization of Few-shot models with Synthetic Data ICML 2025
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games NIPS 2024
Symmetric Linear Bandits with Hidden Symmetry NIPS 2024
Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask? NIPS 2023
Sequential Vaccine Allocation with Delayed Feedback IJCAI 2022
Expected Improvement for Contextual Bandits NIPS 2022
Sequential Blocked Matching AAAI 2022
Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification AAAI 2022
Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation CVPR 2022
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning IJCAI 2022
Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games ALT 2021
Bounding Regret in Empirical Games AAAI 2020
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs IJCAI 2020
Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach IJCAI 2020
Adversarial Blocking Bandits NIPS 2020
Path Planning Problems with Side Observationsβ€”When Colonels Play Hide-and-Seek AAAI 2020
Optimal Learning from Verified Training Data NIPS 2020
Defending with Shared Resources on a Network AAAI 2020
Streaming Bayesian Inference for Crowdsourced Classification NIPS 2019
Identifying vulnerabilities in trust and reputation systems IJCAI 2019
Unifying the Stochastic and the Adversarial Bandits with Knapsack IJCAI 2019
On the Inducibility of Stackelberg Equilibrium for Security Games AAAI 2019
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information AAAI 2019
Manipulating a Learning Defender and Ways to Counteract NIPS 2019
On the Efficiency of Data Collection for Crowdsourced Classification IJCAI 2018
Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies IJCAI 2018
Designing the Game to Play: Optimizing Payoff Structure in Security Games IJCAI 2018
Optimal Escape Interdiction on Transportation Networks IJCAI 2017
Playing Repeated Network Interdiction Games with Semi-Bandit Feedback IJCAI 2017
Interactive Scheduling of Appliance Usage in the Home IJCAI 2016
Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem IJCAI 2015
Efficient Thompson Sampling for Online οΏΌMatrix-Factorization Recommendation NIPS 2015
An Efficient Vector-Based Representation for Coalitional Games IJCAI 2013
Forecasting Multi-Appliance Usage for Smart Home Energy Management IJCAI 2013