Papers
8,340 papers found
Conditionally Strongly Log-Concave Generative Models
Florentin Guth, Etienne Lempereur, Joan Bruna et al.
Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models
Harshit Varma, Abhijeet Awasthi, Sunita Sarawagi
Cones: Concept Neurons in Diffusion Models for Customized Generation
Zhiheng Liu, Ruili Feng, Kai Zhu et al.
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation
Weijian Deng, Yumin Suh, Stephen Gould et al.
Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping
Ziyi Liang, Yanfei Zhou, Matteo Sesia
Conformalization of Sparse Generalized Linear Models
Etash Kumar Guha, Eugene Ndiaye, Xiaoming Huo
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii et al.
Conformal Prediction Sets for Graph Neural Networks
Soroush H. Zargarbashi, Simone Antonelli, Aleksandar Bojchevski
Conformal Prediction with Missing Values
Margaux Zaffran, Aymeric Dieuleveut, Julie Josse et al.
Consistency Models
Yang Song, Prafulla Dhariwal, Mark Chen et al.
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.