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TitleStatusHype
Contextual Abductive Reasoning with Side-Effects—0
On Constructing Confidence Region for Model Parameters in Stochastic Gradient Descent via Batch Means—0
Continual Learning with Extended Kronecker-factored Approximate Curvature—0
Continual learning with the neural tangent ensemble—0
Continual Mean Estimation Under User-Level Privacy—0
Continuous Record Laplace-based Inference about the Break Date in Structural Change Models—0
Continuous Safety Verification of Neural Networks—0
VaLID: Variable-Length Input Diffusion for Novel View Synthesis—0
Bayes Risk Transducer: Transducer with Controllable Alignment Prediction—0
ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds—0
Controllable energy angular spectrum method—0
Bayesian Sparse Factor Models and DAGs Inference and Comparison—0
ControlMol: Adding Substructure Control To Molecule Diffusion Models—0
Control, Transport and Sampling: Towards Better Loss Design—0
Bayesian Optimization Meets Hybrid Zero Dynamics: Safe Parameter Learning for Bipedal Locomotion Control—0
Convergence of stochastic gradient descent under a local Lojasiewicz condition for deep neural networks—0
Convergence of uncertainty estimates in Ensemble and Bayesian sparse model discovery—0
Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER—0
Statistical Inference for Pairwise Graphical Models Using Score Matching—0
Convergence rates of the stochastic alternating algorithm for bi-objective optimization—0
Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm—0
Convex Optimization-based Policy Adaptation to Compensate for Distributional Shifts—0
Statistical Inference for Weighted Sample Average Approximation in Contextual Stochastic Optimization—0
Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation—0
Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism—0
Convolutional neural network for breathing phase detection in lung sounds—0
Statistical inference on representational geometries—0
COOK: Chirp-OOK Communication with Self-reliant Bitrate Adaptation in Backscatter Networks—0
Cooperative Artificial Neural Networks for Rate-Maximization in Optical Wireless Networks—0
Supplementary File: Cooperative Gradient Coding for Semi-Decentralized Federated Learning—0
Cooperative Trajectory Planning: Principles for Human-Machine System Design on Trajectory Level—0
Bayesian Hierarchical Models for Counterfactual Estimation—0
Copula-based conformal prediction for Multi-Target Regression—0
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert—0
CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models—0
Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions—0
Correcting Decalibration of Stereo Cameras in Self-Driving Vehicles—0
Correcting invalid regression discontinuity designs with multiple time period data—0
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated—0
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated—0
Correspondence of NNGP Kernel and the Matern Kernel—0
Statistical Inference with M-Estimators on Adaptively Collected Data—0
Cost Optimal Planning as Satisfiability—0
Bayesian data combination model with Gaussian process latent variable model for mixed observed variables under NMAR missingness—0
Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants—0
Counterfactual Estimation and Optimization of Click Metrics for Search Engines—0
Counterfactual Explanations for Model Ensembles Using Entropic Risk Measures—0
Counterfactual Explanations for Support Vector Machine Models—0
Algorithmic Recourse with Missing Values—0
Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals—0
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