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• Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization

  Mirco Mutti, Riccardo De Santi, Emanuele Rossi, Juan Felipe Calderon, Michael Bronstein, Marcello Restelli

  9251-9259

  2023-06-26

• Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach

  Sai Ganesh Nagarajan, Gerasimos Palaiopanos, Ioannis Panageas, Tushar Vaidya, Samson Yu

  9260-9267

  2023-06-26

• An Operator Theoretic Approach for Analyzing Sequence Neural Networks

  Ilan Naiman, Omri Azencot

  9268-9276

  2023-06-26

• Do Invariances in Deep Neural Networks Align with Human Perception?

  Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller

  9277-9285

  2023-06-26

• Counterfactual Learning with General Data-Generating Policies

  Yusuke Narita, Kyohei Okumura, Akihiro Shimizu, Kohei Yata

  9286-9293

  2023-06-26

• Efficient and Accurate Learning of Mixtures of Plackett-Luce Models

  Duc Nguyen, Anderson Y. Zhang

  9294-9301

  2023-06-26

• Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks

  Thanh H. Nguyen, Arunesh Sinha

  9302-9309

  2023-06-26

• On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation

  Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora

  9310-9318

  2023-06-26

• Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks

  Kentaro Ohno, Sekitoshi Kanai, Yasutoshi Ida

  9319-9326

  2023-06-26

• Backpropagation-Free Deep Learning with Recursive Local Representation Alignment

  Alexander G. Ororbia, Ankur Mali, Daniel Kifer, C. Lee Giles

  9327-9335

  2023-06-26

• Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning

  Reda Ouhamma, Debabrota Basu, Odalric Maillard

  9336-9344

  2023-06-26

• H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem

  Xuanhao Pan, Yan Jin, Yuandong Ding, Mingxiao Feng, Li Zhao, Lei Song, Jiang Bian

  9345-9353

  2023-06-26

• Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty

  Zhenyu Pan, Anshujit Sharma, Jerry Yao-Chieh Hu, Zhuo Liu, Ang Li, Han Liu, Michael Huang, Tony Geng

  9354-9363

  2023-06-26

• FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance

  Zibin Pan, Shuyi Wang, Chi Li, Haijin Wang, Xiaoying Tang, Junhua Zhao

  9364-9371

  2023-06-26

• Geometric Inductive Biases for Identifiable Unsupervised Learning of Disentangled Representations

  Ziqi Pan, Li Niu, Liqing Zhang

  9372-9380

  2023-06-26

• Isometric Manifold Learning Using Hierarchical Flow

  Ziqi Pan, Jianfu Zhang, Li Niu, Liqing Zhang

  9381-9388

  2023-06-26

• Evidential Conditional Neural Processes

  Deep Shankar Pandey, Qi Yu

  9389-9397

  2023-06-26

• Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism

  Cheonjun Park, Mincheol Park, Hyun Jae Oh, Minkyu Kim, Myung Kuk Yoon, Suhyun Kim, Won Woo Ro

  9398-9407

  2023-06-26

• Dynamic Structure Pruning for Compressing CNNs

  Jun-Hyung Park, Yeachan Kim, Junho Kim, Joon-Young Choi, SangKeun Lee

  9408-9416

  2023-06-26

• Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction

  Brahma S. Pavse, Josiah P. Hanna

  9417-9425

  2023-06-26

• Conceptual Reinforcement Learning for Language-Conditioned Tasks

  Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen

  9426-9434

  2023-06-26

• Weighted Policy Constraints for Offline Reinforcement Learning

  Zhiyong Peng, Changlin Han, Yadong Liu, Zongtan Zhou

  9435-9443

  2023-06-26

• Latent Autoregressive Source Separation

  Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà

  9444-9452

  2023-06-26

• Explaining Random Forests Using Bipolar Argumentation and Markov Networks

  Nico Potyka, Xiang Yin, Francesca Toni

  9453-9460

  2023-06-26

• A Model-Agnostic Heuristics for Selective Classification

  Andrea Pugnana, Salvatore Ruggieri

  9461-9469

  2023-06-26