Carbonell, Jaime

13 publications

ICLR 2020 Cross-Lingual Alignment vs Joint Training: A Comparative Study and a Simple Unified Framework Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime Carbonell

ICML 2020 Optimizing Data Usage via Differentiable Rewards Xinyi Wang, Hieu Pham, Paul Michel, Antonios Anastasopoulos, Jaime Carbonell, Graham Neubig

AISTATS 2019 Data-Driven Approach to Multiple-Source Domain Adaptation Petar Stojanov, Mingming Gong, Jaime Carbonell, Kun Zhang

AISTATS 2019 Low-Dimensional Density Ratio Estimation for Covariate Shift Correction Petar Stojanov, Mingming Gong, Jaime Carbonell, Kun Zhang

NeurIPS 2019 XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, Quoc V Le

NeurIPS 2017 Active Learning from Peers Keerthiram Murugesan, Jaime Carbonell

NeurIPS 2016 Adaptive Smoothed Online Multi-Task Learning Keerthiram Murugesan, Hanxiao Liu, Jaime Carbonell, Yiming Yang

NeurIPS 2014 Efficient Structured Matrix Rank Minimization Adams Wei Yu, Wanli Ma, Yaoliang Yu, Jaime Carbonell, Suvrit Sra

ICML 2014 Saddle Points and Accelerated Perceptron Algorithms Adams Wei Yu, Fatma Kilinc-Karzan, Jaime Carbonell

NeurIPS 2013 Buy-in-Bulk Active Learning Liu Yang, Jaime Carbonell

AISTATS 2012 Structured Sparse Canonical Correlation Analysis Xi Chen, Liu Han, Jaime Carbonell

COLT 2011 Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning Liu Yang, Steve Hanneke, Jaime Carbonell

AISTATS 2011 The Sample Complexity of Self-Verifying Bayesian Active Learning Liu Yang, Steve Hanneke, Jaime Carbonell