Papers
Classification of High-dimensional Time Series in Spectral Domain Using Explainable Features with Applications to Neuroimaging Data
Sarbojit Roy, Malik Shahid Sultan, Tania Reyes Vallejo et al.
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model
Francesco Saverio Pezzicoli, Valentina Ros, François P. Landes et al.
Clustered Invariant Risk Minimization
Tomoya Murata, Atsushi Nitanda, Taiji Suzuki
Clustering Context in Off-Policy Evaluation
Daniel Guzman Olivares, Philipp Schmidt, Jacek Golebiowski et al.
ClusterSC: Advancing Synthetic Control with Donor Selection
Saeyoung Rho, Andrew Tang, Noah Bergam et al.
Collaborative non-parametric two-sample testing
Alejandro David De la Concha Duarte, Nicolas Vayatis, Argyris Kalogeratos
Common Learning Constraints Alter Interpretations of Direct Preference Optimization
Lemin Kong, Xiangkun Hu, Tong He et al.
Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
James Thornton, Louis Béthune, Ruixiang ZHANG et al.
Computation-Aware Kalman Filtering and Smoothing
Marvin Pförtner, Jonathan Wenger, Jon Cockayne et al.
Computing high-dimensional optimal transport by flow neural networks
Chen Xu, Xiuyuan Cheng, Yao Xie
Conditional diffusions for amortized neural posterior estimation
Tianyu Chen, Vansh Bansal, James G. Scott
Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency
Guojun Zhu, Sanguo Zhang, Mingyang Ren
Conditional Prediction ROC Bands for Graph Classification
Yujia Wu, Bo Yang, Elynn Chen et al.
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
Ricardo Baptista, Aram-Alexandre Pooladian, Michael Brennan et al.
Conditioning diffusion models by explicit forward-backward bridging
Adrien Corenflos, Zheng Zhao, Thomas B. Schön et al.
Conformal Prediction Under Generalized Covariate Shift with Posterior Drift
Baozhen Wang, Xingye Qiao
Consistent Amortized Clustering via Generative Flow Networks
Irit Chelly, Roy Uziel, Oren Freifeld et al.
Consistent Validation for Predictive Methods in Spatial Settings
David R. Burt, Yunyi Shen, Tamara Broderick
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
Diantong Li, Fengxue Zhang, Chong Liu et al.
Continuous Structure Constraint Integration for Robust Causal Discovery
Lyuzhou Chen, Taiyu Ban, Derui Lyu et al.
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
Colin Dirren, Mattia Bianchi, Panagiotis D. Grontas et al.
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
Xuefeng Gao, Lingjiong Zhu
Copula Based Trainable Calibration Error Estimator of Multi-Label Classification with Label Interdependencies
Arkapal Panda, Utpal Garain
Corruption Robust Offline Reinforcement Learning with Human Feedback
Debmalya Mandal, Andi Nika, Parameswaran Kamalaruban et al.
Cost-Aware Optimal Pairwise Pure Exploration
Di Wu, Chengshuai Shi, Ruida Zhou et al.