Long Tran-Thanh
36 papers · 2013–2025 · 7 conferences · across top CS/AI conferences
Achievements
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๐ฃ Hot Topic Early Bird ๐งญ Keyword Pioneer ๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (10) ๐ Conference Polyglot (7)
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Interdisciplinary Bridge
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Conference Polyglot
(7)
๐งญ
Keyword Pioneer
๐ฌ
Deep Specialist
(10)
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Keyword Champion
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Grand Slam
๐๏ธ
Keyword Collector
(140)
โก
Prolific Year
(6)
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Conference Pioneer
๐
Century Club
(36)
๐ฅ
Unstoppable
(11)
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Trend Setter
โ
The Questioner
Conferences
IJCAI (15)
NIPS (9)
AAAI (8)
ALT (1)
CVPR (1)
ICLR (1)
ICML (1)
Top co-authors
Research topics
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 ObservationsโWhen 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 ๏ฟผMatrix-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