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• End-to-End Learning for Optimization via Constraint-Enforcing Approximators

  Rares Cristian, Pavithra Harsha, Georgia Perakis, Brian L Quanz, Ioannis Spantidakis

  7253-7260

  2023-06-26

• Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity

  Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Aakas Zhiyuli

  7261-7269

  2023-06-26

• Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators

  Wenhai Cui, Xiaoting Ji, Linglong Kong, Xiaodong Yan

  7270-7278

  2023-06-26

• Contrastive Learning with the Feature Reconstruction Amplifier

  Wentao Cui, Liang Bai

  7279-7287

  2023-06-26

• Augmented Proximal Policy Optimization for Safe Reinforcement Learning

  Juntao Dai, Jiaming Ji, Long Yang, Qian Zheng, Gang Pan

  7288-7295

  2023-06-26

• GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting

  Songmin Dai, Xiaoqiang Li, Yue Zhou, Xichen Ye, Tong Liu

  7296-7303

  2023-06-26

• Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks

  Weihang Dai, Xiaomeng Li, Kwang-Ting Cheng

  7304-7313

  2023-06-26

• Tackling Data Heterogeneity in Federated Learning with Class Prototypes

  Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu

  7314-7322

  2023-06-26

• CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials

  Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly

  7323-7331

  2023-06-26

• Non-reversible Parallel Tempering for Deep Posterior Approximation

  Wei Deng, Qian Zhang, Qi Feng, Faming Liang, Guang Lin

  7332-7339

  2023-06-26

• Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD

  Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li

  7340-7348

  2023-06-26

• Integer Subspace Differential Privacy

  Prathamesh Dharangutte, Jie Gao, Ruobin Gong, Fang-Yi Yu

  7349-7357

  2023-06-26

• Black-Box Adversarial Attack on Time Series Classification

  Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang

  7358-7368

  2023-06-26

• C-NTPP: Learning Cluster-Aware Neural Temporal Point Process

  Fangyu Ding, Junchi Yan, Haiyang Wang

  7369-7377

  2023-06-26

• Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning

  Kaize Ding, Yancheng Wang, Yingzhen Yang, Huan Liu

  7378-7386

  2023-06-26

• Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration

  Wei Ding, Siyang Jiang, Hsi-Wen Chen, Ming-Syan Chen

  7387-7395

  2023-06-26

• Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints

  Yuhao Ding, Javad Lavaei

  7396-7404

  2023-06-26

• Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design

  Yuhao Ding, Ming Jin, Javad Lavaei

  7405-7413

  2023-06-26

• SKDBERT: Compressing BERT via Stochastic Knowledge Distillation

  Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin

  7414-7422

  2023-06-26

• Model-Based Offline Reinforcement Learning with Local Misspecification

  Kefan Dong, Yannis Flet-Berliac, Allen Nie, Emma Brunskill

  7423-7431

  2023-06-26

• Can Label-Specific Features Help Partial-Label Learning?

  Ruo-Jing Dong, Jun-Yi Hang, Tong Wei, Min-Ling Zhang

  7432-7440

  2023-06-26

• Interpreting Unfairness in Graph Neural Networks via Training Node Attribution

  Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li

  7441-7449

  2023-06-26

• Robust and Fast Measure of Information via Low-Rank Representation

  Yuxin Dong, Tieliang Gong, Shujian Yu, Hong Chen, Chen Li

  7450-7458

  2023-06-26

• Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View

  Jingcan Duan, Siwei Wang, Pei Zhang, En Zhu, Jingtao Hu, Hu Jin, Yue Liu, Zhibin Dong

  7459-7467

  2023-06-26

• Diffeomorphic Information Neural Estimation

  Bao Duong, Thin Nguyen

  7468-7475

  2023-06-26