Shiu, Da-Shan

10 publications

ICML 2025 Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds Aya Kayal, Sattar Vakili, Laura Toni, Da-Shan Shiu, Alberto Bernacchia

NeurIPS 2024 Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization Davide Buffelli, Jamie McGowan, Wangkun Xu, Alexandru Cioba, Da-shan Shiu, Guillaume Hennequin, Alberto Bernacchia

ICML 2024 Reward-Free Kernel-Based Reinforcement Learning Sattar Vakili, Farhang Nabiei, Da-Shan Shiu, Alberto Bernacchia

NeurIPSW 2024 Stutter Makes Smarter: Learning Self-Improvement for Large Language Models Pei-Chen Ho, Meng-Hsi Chen, Alberto Bernacchia, Philipp Ennen, Yen-Chen Wu, Da-shan Shiu

ICML 2023 Image Generation with Shortest Path Diffusion Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Fengting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia

AAAI 2022 How to Distribute Data Across Tasks for Meta-Learning? Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Jezabel R. Garcia, Da-Shan Shiu, Alberto Bernacchia

ICML 2022 Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning Sattar Vakili, Jonathan Scarlett, Da-Shan Shiu, Alberto Bernacchia

NeurIPSW 2021 Cyclic Orthogonal Convolutions for Long-Range Integration of Features Federica Freddi, Jezabel R Garcia, Michael Bromberg, Sepehr Jalali, Da-shan Shiu, Alvin Chua, Alberto Bernacchia

NeurIPSW 2021 How to Distribute Data Across Tasks for Meta-Learning? Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Jezabel R Garcia, Da-shan Shiu, Alberto Bernacchia

NeurIPS 2021 Optimal Order Simple Regret for Gaussian Process Bandits Sattar Vakili, Nacime Bouziani, Sepehr Jalali, Alberto Bernacchia, Da-shan Shiu