Papers
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models
Ankur Ankan, Inge Wortel, Kenneth Bollen et al.
Competing against Adaptive Strategies in Online Learning via Hints
Aditya Bhaskara, Kamesh Munagala
Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel
Jonas Wacker, Ruben Ohana, Maurizio Filippone
Compositional Probabilistic and Causal Inference using Tractable Circuit Models
Benjie Wang, Marta Kwiatkowska
Compress Then Test: Powerful Kernel Testing in Near-linear Time
Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
Computing Abductive Explanations for Boosted Trees
Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis et al.
Conformalized Unconditional Quantile Regression
Ahmed M. Alaa, Zeshan Hussain, David Sontag
Conformal Off-Policy Prediction
Yingying Zhang, Chengchun Shi, Shikai Luo
Conjugate Gradient Method for Generative Adversarial Networks
Hiroki Naganuma, Hideaki Iiduka
Connectivity-contrastive learning: Combining causal discovery and representation learning for multimodal data
Hiroshi Morioka, Aapo Hyvarinen
Consistent Complementary-Label Learning via Order-Preserving Losses
Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang et al.
Context-Specific Causal Discovery for Categorical Data Using Staged Trees
Manuele Leonelli, Gherardo Varando
Contextual Linear Bandits under Noisy Features: Towards Bayesian Oracles
Jung-Hun Kim, Se-Young Yun, Minchan Jeong et al.
Continuous-Time Decision Transformer for Healthcare Applications
Zhiyue Zhang, Hongyuan Mei, Yanxun Xu
Convergence of Stein Variational Gradient Descent under a Weaker Smoothness Condition
Lukang Sun, Avetik Karagulyan, Peter Richtarik
Convex Bounds on the Softmax Function with Applications to Robustness Verification
Dennis Wei, Haoze Wu, Min Wu et al.
Convolutional Persistence as a Remedy to Neural Model Analysis
Ekaterina Khramtsova, Guido Zuccon, Xi Wang et al.
Cooperative Inverse Decision Theory for Uncertain Preferences
Zachary Robertson, Hantao Zhang, Sanmi Koyejo
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees
Hsin-En Su, Yen-Ju Chen, Ping-Chun Hsieh et al.
Coordinate Descent for SLOPE
Johan Larsson, Quentin Klopfenstein, Mathurin Massias et al.
Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE
Young-Geun Kim, Ying Liu, Xue-Xin Wei
Data Augmentation for Imbalanced Regression
Samuel Stocksieker, Denys Pommeret, Arthur Charpentier
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Jiachen T. Wang, Ruoxi Jia
Deep equilibrium models as estimators for continuous latent variables
Russell Tsuchida, Cheng Soon Ong
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models
Naoya Takeishi, Alexandros Kalousis