Gonzalez, Joseph

21 publications

NeurIPSW 2023 How Long Can Context Length of Open-Source LLMs Truly Promise? Dacheng Li, Rulin Shao, Anze Xie, Ying Sheng, Lianmin Zheng, Joseph Gonzalez, Ion Stoica, Xuezhe Ma, Hao Zhang

AISTATS 2022 Learning Competitive Equilibria in Exchange Economies with Bandit Feedback Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael Jordan, Ion Stoica

ECCV 2022 Context-Aware Streaming Perception in Dynamic Environments Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica

ICML 2022 Making Linear MDPs Practical via Contrastive Representation Learning Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai

ICML 2022 Neurotoxin: Durable Backdoors in Federated Learning Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael Mahoney, Prateek Mittal, Ramchandran Kannan, Joseph Gonzalez

CVPR 2022 On Guiding Visual Attention with Language Specification Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach

ICML 2022 POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph Gonzalez

ECCV 2022 Reliable Visual Question Answering: Abstain Rather than Answer Incorrectly Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach

ICML 2021 ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael Mahoney, Joseph Gonzalez

ICML 2021 Resource Allocation in Multi-Armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael Jordan, Ken Goldberg, Joseph Gonzalez

ICML 2020 FetchSGD: Communication-Efficient Federated Learning with Sketching Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora

ICML 2020 Frustratingly Simple Few-Shot Object Detection Xin Wang, Thomas Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu

AISTATS 2020 Thompson Sampling for Linearly Constrained Bandits Vidit Saxena, Joakim Jalden, Joseph Gonzalez

CoRL 2020 Untangling Dense Knots by Learning Task-Relevant Keypoints Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Vainavi Viswanath, Michael Laskey, Joseph Gonzalez, Ken Goldberg

ICMLW 2019 Multi-Task Learning via Task Multi-Clustering Andy Yan, Xin Wang, Ion Stoica, Joseph Gonzalez, Roy Fox

ICML 2018 RLlib: Abstractions for Distributed Reinforcement Learning Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael Jordan, Ion Stoica

AISTATS 2017 Random Projection Design for Scalable Implicit Smoothing of Randomly Observed Stochastic Processes Francois Belletti, Evan Randall Sparks, Alexandre M. Bayen, Joseph Gonzalez

AISTATS 2011 Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin

UAI 2010 GraphLab: A New Framework for Parallel Machine Learning Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein

UAI 2009 Distributed Parallel Inference on Large Factor Graphs Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron

AISTATS 2009 Residual Splash for Optimally Parallelizing Belief Propagation Joseph Gonzalez, Yucheng Low, Carlos Guestrin