Poster "regret analysis" Papers
15 papers found
Conference
ADAM Optimization with Adaptive Batch Selection
Gyu Yeol Kim, Min-hwan Oh
ICLR 2025arXiv:2512.06795
2
citations
MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning
Sizhe Tang, Jiayu Chen, Tian Lan
NEURIPS 2025arXiv:2511.06142
4
citations
Online Two-Stage Submodular Maximization
Iasonas Nikolaou, Miltiadis Stouras, Stratis Ioannidis et al.
NEURIPS 2025arXiv:2510.19480
Pareto Optimal Risk-Agnostic Distributional Bandits with Heavy-Tail Rewards
Kyungjae Lee, Dohyeong Kim, Taehyun Cho et al.
NEURIPS 2025
Regret Analysis of Average-Reward Unichain MDPs via an Actor-Critic Approach
Swetha Ganesh, Vaneet Aggarwal
NEURIPS 2025arXiv:2505.19986
3
citations
Second Order Bounds for Contextual Bandits with Function Approximation
Aldo Pacchiano
ICLR 2025arXiv:2409.16197
7
citations
Toward Understanding In-context vs. In-weight Learning
Bryan Chan, Xinyi Chen, Andras Gyorgy et al.
ICLR 2025arXiv:2410.23042
15
citations
True Impact of Cascade Length in Contextual Cascading Bandits
Hyun-jun Choi, Joongkyu Lee, Min-hwan Oh
NEURIPS 2025
A General Online Algorithm for Optimizing Complex Performance Metrics
Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis et al.
ICML 2024
High-dimensional Linear Bandits with Knapsacks
Wanteng Ma, Dong Xia, Jiashuo Jiang
ICML 2024arXiv:2311.01327
Matroid Semi-Bandits in Sublinear Time
Ruo-Chun Tzeng, Naoto Ohsaka, Kaito Ariu
ICML 2024arXiv:2405.17968
1
citations
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
Kwang-Sung Jun, Jungtaek Kim
ICML 2024arXiv:2402.07341
4
citations
On Multi-Armed Bandit with Impatient Arms
Yuming Shao, Zhixuan Fang
ICML 2024
Provable Interactive Learning with Hindsight Instruction Feedback
Dipendra Misra, Aldo Pacchiano, Robert Schapire
ICML 2024arXiv:2404.09123
1
citations
Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation
Tonghe Zhang, Yu Chen, Longbo Huang
ICML 2024arXiv:2402.18149