Papers
Consistency of Multiple Kernel Clustering
Weixuan Liang, Xinwang Liu, Yong Liu et al.
Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation
Hendrik Fichtenberger, Monika Henzinger, Jalaj Upadhyay
Constrained Causal Bayesian Optimization
Virginia Aglietti, Alan Malek, Ira Ktena et al.
Constrained Decision Transformer for Offline Safe Reinforcement Learning
Zuxin Liu, Zijian Guo, Yihang Yao et al.
Constrained Efficient Global Optimization of Expensive Black-box Functions
Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic et al.
Constrained Monotonic Neural Networks
Davor Runje, Sharath M Shankaranarayana
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
Ilgee Hong, Sen Na, Michael W. Mahoney et al.
Constrained Phi-Equilibria
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi et al.
Context Consistency Regularization for Label Sparsity in Time Series
Yooju Shin, Susik Yoon, Hwanjun Song et al.
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
Xutong Liu, Jinhang Zuo, Siwei Wang et al.
Contextual Conservative Interleaving Bandits
Kei Takemura
Contextual Reliability: When Different Features Matter in Different Contexts
Gaurav Rohit Ghosal, Amrith Setlur, Daniel S. Brown et al.
Continual Learners are Incremental Model Generalizers
Jaehong Yoon, Sung Ju Hwang, Yue Cao
Continual Learning in Linear Classification on Separable Data
Itay Evron, Edward Moroshko, Gon Buzaglo et al.
Continual Task Allocation in Meta-Policy Network via Sparse Prompting
Yijun Yang, Tianyi Zhou, Jing Jiang et al.
Continual Vision-Language Representation Learning with Off-Diagonal Information
Zixuan Ni, Longhui Wei, Siliang Tang et al.
Continuation Path Learning for Homotopy Optimization
Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang et al.
Continuously Parameterized Mixture Models
Christopher M Bender, Yifeng Shi, Marc Niethammer et al.
Continuous Spatiotemporal Transformer
Antonio Henrique De Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro et al.
ContraBAR: Contrastive Bayes-Adaptive Deep RL
Era Choshen, Aviv Tamar
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
Cheng Lu, Huayu Chen, Jianfei Chen et al.
Contrastive Learning Meets Homophily: Two Birds with One Stone
Dongxiao He, Jitao Zhao, Rui Guo et al.
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Zekun Qi, Runpei Dong, Guofan Fan et al.
Controllability-Aware Unsupervised Skill Discovery
Seohong Park, Kimin Lee, Youngwoon Lee et al.