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• Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling

  Lucas Berry, David Meger

  6806-6814

  2023-06-26

• An Improved Algorithm for Online Min-Sum Set Cover

  Marcin Bienkowski, Marcin Mucha

  6815-6822

  2023-06-26

• AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks

  Garrett Bingham, Risto Miikkulainen

  6823-6833

  2023-06-26

• A Parameterized Theory of PAC Learning

  Cornelius Brand, Robert Ganian, Kirill Simonov

  6834-6841

  2023-06-26

• Fully-Dynamic Decision Trees

  Marco Bressan, Gabriel Damay, Mauro Sozio

  6842-6849

  2023-06-26

• Scalable Theory-Driven Regularization of Scene Graph Generation Models

  Davide Buffelli, Efthymia Tsamoura

  6850-6859

  2023-06-26

• Toward a Perspectivist Turn in Ground Truthing for Predictive Computing

  Federico Cabitza, Andrea Campagner, Valerio Basile

  6860-6868

  2023-06-26

• Semantic-Enhanced Image Clustering

  Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen

  6869-6878

  2023-06-26

• RePreM: Representation Pre-training with Masked Model for Reinforcement Learning

  Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang

  6879-6887

  2023-06-26

• FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning

  Bowen Cao, Qichen Ye, Weiyuan Xu, Yuexian Zou

  6888-6896

  2023-06-26

• Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders

  Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu

  6897-6905

  2023-06-26

• InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting

  Haizhou Cao, Zhenhao Huang, Tiechui Yao, Jue Wang, Hui He, Yangang Wang

  6906-6915

  2023-06-26

• Meta-Sketch: A Neural Data Structure for Estimating Item Frequencies of Data Streams

  Yukun Cao, Yuan Feng, Xike Xie

  6916-6924

  2023-06-26

• Unfooling Perturbation-Based Post Hoc Explainers

  Zachariah Carmichael, Walter J. Scheirer

  6925-6934

  2023-06-26

• Very Fast, Approximate Counterfactual Explanations for Decision Forests

  Miguel Á. Carreira-Perpinan, Suryabhan Singh Hada

  6935-6943

  2023-06-26

• An Equivalence Analysis of Binary Quantification Methods

  Alberto Castaño, Jaime Alonso, Pablo González, Juan José del Coz

  6944-6952

  2023-06-26

• Soft Action Priors: Towards Robust Policy Transfer

  Matheus Centa, Philippe Preux

  6953-6961

  2023-06-26

• Invariant Representations with Stochastically Quantized Neural Networks

  Mattia Cerrato, Marius Köppel, Roberto Esposito, Stefan Kramer

  6962-6970

  2023-06-26

• Learning Pessimism for Reinforcement Learning

  Edoardo Cetin, Oya Celiktutan

  6971-6979

  2023-06-26

• Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning

  Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar, Alec Koppel, Brian Sadler, Furong Huang, Dinesh Manocha

  6980-6988

  2023-06-26

• NHITS: Neural Hierarchical Interpolation for Time Series Forecasting

  Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramirez, Max Mergenthaler Canseco, Artur Dubrawski

  6989-6997

  2023-06-26

• Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton

  Kai-Shiang Chang, Wei-Yao Wang, Wen-Chih Peng

  6998-7005

  2023-06-26

• Graph Ordering Attention Networks

  Michail Chatzianastasis, Johannes Lutzeyer, George Dasoulas, Michalis Vazirgiannis

  7006-7014

  2023-06-26

• Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming

  Aravinth Chembu, Scott Sanner, Hassan Khurram, Akshat Kumar

  7015-7023

  2023-06-26

• Attribute and Structure Preserving Graph Contrastive Learning

  Jialu Chen, Gang Kou

  7024-7032

  2023-06-26