Papers
Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving
Julien Grand-Clément, Christian Kroer
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu, Aviral Kumar, Yevgen Chebotar et al.
Conservative Offline Distributional Reinforcement Learning
Yecheng Ma, Dinesh Jayaraman, Osbert Bastani
Consistency Regularization for Variational Auto-Encoders
Samarth Sinha, Adji Bousso Dieng
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers
Tommaso d'Orsi, Chih-Hung Liu, Rajai Nasser et al.
Consistent Non-Parametric Methods for Maximizing Robustness
Robi Bhattacharjee, Kamalika Chaudhuri
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes
Sara Sangalli, Ertunc Erdil, Andeas Hötker et al.
Constrained Robust Submodular Partitioning
Shengjie Wang, Tianyi Zhou, Chandrashekhar Lavania et al.
Constrained Two-step Look-Ahead Bayesian Optimization
Yunxiang Zhang, Xiangyu Zhang, Peter Frazier
Container: Context Aggregation Networks
peng gao, Jiasen Lu, hongsheng Li et al.
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
Sreenivas Gollapudi, Guru Guruganesh, Kostas Kollias et al.
Contextual Similarity Aggregation with Self-attention for Visual Re-ranking
Jianbo Ouyang, Hui Wu, Min Wang et al.
Continual Auxiliary Task Learning
Matthew McLeod, Chunlok Lo, Matthew Schlegel et al.
Continual Learning via Local Module Composition
Oleksiy Ostapenko, Pau Rodriguez, Massimo Caccia et al.
Continual World: A Robotic Benchmark For Continual Reinforcement Learning
Maciej Wołczyk, Michał Zając, Razvan Pascanu et al.
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
Mathieu Even, Raphaël Berthier, Francis R. Bach et al.
Continuous Doubly Constrained Batch Reinforcement Learning
Rasool Fakoor, Jonas W Mueller, Kavosh Asadi et al.
Continuous Latent Process Flows
Ruizhi Deng, Marcus A Brubaker, Greg Mori et al.
Continuous Mean-Covariance Bandits
Yihan Du, Siwei Wang, Zhixuan Fang et al.
Continuous-time edge modelling using non-parametric point processes
Xuhui Fan, Bin Li, Feng Zhou et al.
Continuous vs. Discrete Optimization of Deep Neural Networks
Omer Elkabetz, Nadav Cohen
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Aadarsh Sahoo, Rutav Shah, Rameswar Panda et al.
Contrastive Active Inference
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels
Sheng Wan, Yibing Zhan, Liu Liu et al.
Contrastive Laplacian Eigenmaps
Hao Zhu, Ke Sun, Peter Koniusz