Papers
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Georgi Ganev, Bristena Oprisanu, Emiliano De Cristofaro
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation
Justin Jude, Matthew Perich, Lee Miller et al.
Robust Counterfactual Explanations for Tree-Based Ensembles
Sanghamitra Dutta, Jason Long, Saumitra Mishra et al.
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
Junlin Wu, Yevgeniy Vorobeychik
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
Haotian Ju, Dongyue Li, Hongyang R Zhang
Robust Group Synchronization via Quadratic Programming
Yunpeng Shi, Cole M Wyeth, Gilad Lerman
Robust Imitation Learning against Variations in Environment Dynamics
Jongseong Chae, Seungyul Han, Whiyoung Jung et al.
Robust Kernel Density Estimation with Median-of-Means principle
Pierre Humbert, Batiste Le Bars, Ludovic Minvielle
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
Dong Chen, Lingfei Wu, Siliang Tang et al.
Robust Models Are More Interpretable Because Attributions Look Normal
Zifan Wang, Matt Fredrikson, Anupam Datta
Robust Multi-Objective Bayesian Optimization Under Input Noise
Samuel Daulton, Sait Cakmak, Maximilian Balandat et al.
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
Tianyu Pang, Min Lin, Xiao Yang et al.
Robustness Implies Generalization via Data-Dependent Generalization Bounds
Kenji Kawaguchi, Zhun Deng, Kyle Luh et al.
Robustness in Multi-Objective Submodular Optimization: a Quantile Approach
Cedric Malherbe, Kevin Scaman
Robustness Verification for Contrastive Learning
Zekai Wang, Weiwei Liu
Robust Policy Learning over Multiple Uncertainty Sets
Annie Xie, Shagun Sodhani, Chelsea Finn et al.
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning
Lorenz Richter, Julius Berner
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
Haoqi Yuan, Zongqing Lu
Robust Training of Neural Networks Using Scale Invariant Architectures
Zhiyuan Li, Srinadh Bhojanapalli, Manzil Zaheer et al.
Robust Training under Label Noise by Over-parameterization
Sheng Liu, Zhihui Zhu, Qing Qu et al.
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality
Jiayao Zhang, Hongming Zhang, Weijie Su et al.
Role-based Multiplex Network Embedding
Hegui Zhang, Gang Kou
Rotting Infinitely Many-Armed Bandits
Jung-Hun Kim, Milan Vojnovic, Se-Young Yun
RUMs from Head-to-Head Contests
Matteo Almanza, Flavio Chierichetti, Ravi Kumar et al.
Safe Exploration for Efficient Policy Evaluation and Comparison
Runzhe Wan, Branislav Kveton, Rui Song