Tran-Thanh, Long

48 publications

ICLR 2025 DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle Lichuan Xiang, Quan Nguyen-Tri, Lan-Cuong Nguyen, Hoang Pham, Khoat Than, Long Tran-Thanh, Hongkai Wen
AAAI 2025 Non-Stochastic Budgeted Online Pricing with Semi-Bandit Feedback Xiang Liu, Hau Chan, Minming Li, Weiwei Wu, Long Tran-Thanh
ICML 2025 Provably Improving Generalization of Few-Shot Models with Synthetic Data Lan-Cuong Nguyen, Quan Nguyen-Tri, Bang Tran Khanh, Dung D. Le, Long Tran-Thanh, Khoat Than
NeurIPS 2025 The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis Hoang Pham, The-Anh Ta, Tom Jacobs, Rebekka Burkholz, Long Tran-Thanh
ICMLW 2024 Learning Stable Allocations of Strictly Convex Stochastic Cooperative Games Nam Phuong Tran, The-Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
NeurIPS 2024 Learning the Expected Core of Strictly Convex Stochastic Cooperative Games Nam Phuong Tran, The Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
NeurIPS 2024 Symmetric Linear Bandits with Hidden Symmetry Nam Phuong Tran, The Anh Ta, Debmalya Mandal, Long Tran-Thanh
ECML-PKDD 2023 Invariant Lipschitz Bandits: A Side Observation Approach Nam Phuong Tran, Long Tran-Thanh
NeurIPSW 2023 Predicting COVID-19 Pandemic by Spatio-Temporal Graph Neural Networks: A New Zealand's Study Bach Nguyen, Truong Son Hy, Long Tran-Thanh, Nhung Nghiem
NeurIPS 2023 Towards Data-Agnostic Pruning at Initialization: What Makes a Good Sparse Mask? Hoang Pham, The Anh Ta, Shiwei Liu, Lichuan Xiang, Dung Le, Hongkai Wen, Long Tran-Thanh
CVPR 2022 Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation Minh Hieu Phan, The-Anh Ta, Son Lam Phung, Long Tran-Thanh, Abdesselam Bouzerdoum
NeurIPS 2022 Expected Improvement for Contextual Bandits Hung Tran-The, Sunil Gupta, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh
NeurIPSW 2022 Fuzzy C-Means Clustering in Persistence Diagram Space for Deep Learning Model Selection Thomas Davies, Jack Aspinall, Bryan Wilder, Long Tran-Thanh
AAAI 2022 Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti
AAAI 2022 Sequential Blocked Matching Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh
IJCAI 2022 Sequential Vaccine Allocation with Delayed Feedback Yichen Xiao, Han-Ching Ou, Haipeng Chen, Van Thieu Nguyen, Long Tran-Thanh
IJCAI 2022 Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning Anshuka Rangi, Haifeng Xu, Long Tran-Thanh, Massimo Franceschetti
ALT 2021 Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games Le Cong Dinh, Tri-Dung Nguyen, Alain B. Zemhoho, Long Tran-Thanh
NeurIPS 2020 Adversarial Blocking Bandits Nicholas Bishop, Hau Chan, Debmalya Mandal, Long Tran-Thanh
AAAI 2020 Bounding Regret in Empirical Games Steven Jecmen, Arunesh Sinha, Zun Li, Long Tran-Thanh
AAAI 2020 Defending with Shared Resources on a Network Minming Li, Long Tran-Thanh, Xiaowei Wu
IJCAI 2020 Fighting Wildfires Under Uncertainty - A Sequential Resource Allocation Approach Hau Chan, Long Tran-Thanh, Vignesh Viswanathan
NeurIPSW 2020 Fuzzy C-Means Clustering for Persistence Diagrams Thomas Davies, Jack Aspinall, Bryan Wilder, Long Tran-Thanh
NeurIPSW 2020 Hypothesis Classes with a Unique Persistence Diagram Are NOT Nonuniformly Learnable Nicholas George Bishop, Thomas Davies, Long Tran-Thanh
IJCAI 2020 Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings
NeurIPS 2020 Optimal Learning from Verified Training Data Nicholas Bishop, Long Tran-Thanh, Enrico Gerding
AAAI 2020 Path Planning Problems with Side Observations - When Colonels Play Hide-and-Seek Dong Quan Vu, Patrick Loiseau, Alonso Silva, Long Tran-Thanh
IJCAI 2019 Identifying Vulnerabilities in Trust and Reputation Systems Taha D. Günes, Long Tran-Thanh, Timothy J. Norman
NeurIPS 2019 Manipulating a Learning Defender and Ways to Counteract Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael Wooldridge
AAAI 2019 On the Inducibility of Stackelberg Equilibrium for Security Games Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An
AAAI 2019 Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information Youzhi Zhang, Qingyu Guo, Bo An, Long Tran-Thanh, Nicholas R. Jennings
NeurIPS 2019 Streaming Bayesian Inference for Crowdsourced Classification Edoardo Manino, Long Tran-Thanh, Nicholas Jennings
IJCAI 2019 Unifying the Stochastic and the Adversarial Bandits with Knapsack Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh
IJCAI 2018 Designing the Game to Play: Optimizing Payoff Structure in Security Games Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang
IJCAI 2018 Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies The Anh Han, Simon Lynch, Long Tran-Thanh, Francisco C. Santos
IJCAI 2018 On the Efficiency of Data Collection for Crowdsourced Classification Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
IJCAI 2017 Optimal Escape Interdiction on Transportation Networks Youzhi Zhang, Bo An, Long Tran-Thanh, Zhen Wang, Jiarui Gan, Nicholas R. Jennings
IJCAI 2017 Playing Repeated Network Interdiction Games with Semi-Bandit Feedback Qingyu Guo, Bo An, Long Tran-Thanh
AAAI 2017 The Dollar Auction with Spiteful Players Marcin Waniek, Long Tran-Thanh, Tomasz P. Michalak, Nicholas R. Jennings
IJCAI 2016 Interactive Scheduling of Appliance Usage in the Home Ngoc Cuong Truong, Tim Baarslag, Sarvapali D. Ramchurn, Long Tran-Thanh
AAAI 2015 Crowdsourcing Complex Workflows Under Budget Constraints Long Tran-Thanh, Trung Dong Huynh, Avi Rosenfeld, Sarvapali D. Ramchurn, Nicholas R. Jennings
IJCAI 2015 Efficient Algorithms with Performance Guarantees for the Stochastic Multiple-Choice Knapsack Problem Long Tran-Thanh, Yingce Xia, Tao Qin, Nicholas R. Jennings
NeurIPS 2015 Efficient Thompson Sampling for Online Matrix-Factorization Recommendation Jaya Kawale, Hung H Bui, Branislav Kveton, Long Tran-Thanh, Sanjay Chawla
UAI 2014 Efficient Regret Bounds for Online Bid Optimisation in Budget-Limited Sponsored Search Auctions Long Tran-Thanh, Lampros C. Stavrogiannis, Victor Naroditskiy, Valentin Robu, Nicholas R. Jennings, Peter B. Key
IJCAI 2013 An Efficient Vector-Based Representation for Coalitional Games Long Tran-Thanh, Tri-Dung Nguyen, Talal Rahwan, Alex Rogers, Nicholas R. Jennings
IJCAI 2013 Forecasting Multi-Appliance Usage for Smart Home Energy Management Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn
AAAI 2012 Knapsack Based Optimal Policies for Budget-Limited Multi-Armed Bandits Long Tran-Thanh, Archie C. Chapman, Alex Rogers, Nicholas R. Jennings
AAAI 2010 Epsilon-First Policies for Budget-Limited Multi-Armed Bandits Long Tran-Thanh, Archie C. Chapman, Enrique Munoz de Cote, Alex Rogers, Nicholas R. Jennings