How to distribute data across tasks for meta-learning? - Alexandru Cioba; Michael Bromberg; Qian Wang; Ritwik Niyogi; Georgios Batzolis; Da-Shan Shiu; Alberto Bernacchia (CoRR, 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 (AAAI, 2022)

Flexible chip placement via reinforcement learning: late breaking results. - Fu-Chieh Chang 001; Yu-Wei Tseng; Ya-Wen Yu; Ssu-Rui Lee; Alexandru Cioba; I-Lun Tseng; Da-Shan Shiu; Jhih-Wei Hsu; Cheng-Yuan Wang; Chien-Yi Yang; Ren-Chu Wang; Yao-Wen Chang; et al. (DAC, 2022)

Flexible Multiple-Objective Reinforcement Learning for Chip Placement. - Fu-Chieh Chang 001; Yu-Wei Tseng; Ya-Wen Yu; Ssu-Rui Lee; Alexandru Cioba; I-Lun Tseng; Da-Shan Shiu; Jhih-Wei Hsu; Cheng-Yuan Wang; Chien-Yi Yang; Ren-Chu Wang; Yao-Wen Chang; et al. (CoRR, 2022)

Sample-efficient Bayesian Optimisation Using Known Invariances. - Theodore Brown; Alexandru Cioba; Ilija Bogunovic (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 (NeurIPS, 2024)