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• Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates

  Kyle Mana, Fernando Acero, Stephen Mak, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso

  20786-20793

  2024-03-24

• Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths

  Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt, Emir Demirović

  20794-20802

  2024-03-24

• Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret

  Rui Sun, Zhi Zheng, Zhenkun Wang

  20803-20811

  2024-03-24

• COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems

  Hao Tian, Sourav Medya, Wei Ye

  20812-20820

  2024-03-24

• Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting

  Hao Wang

  20821-20829

  2024-03-24

• Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy

  Xiaofan Wang, Zhiyuan Deng, Changle Wang, Jinjia Wang

  20830-20837

  2024-03-24

• A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem

  Xiaoyang Xu, Hu Ding

  20838-20846

  2024-03-24

• Sample-and-Bound for Non-convex Optimization

  Yaoguang Zhai, Zhizhen Qin, Sicun Gao

  20847-20855

  2024-03-24

• Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem

  Qingyun Zhang, Yuming Du, Zhouxing Su, Chu-Min Li, Junzhou Xu, Zhihuai Chen, Zhipeng Lü

  20856-20864

  2024-03-24

• Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization

  Xuan Zhang, Gabriel Mancino-Ball, Necdet Serhat Aybat, Yangyang Xu

  20865-20873

  2024-03-24

• Runtime Analysis of the SMS-EMOA for Many-Objective Optimization

  Weijie Zheng, Benjamin Doerr

  20874-20882

  2024-03-24

• How to Use the Metropolis Algorithm for Multi-Objective Optimization?

  Weijie Zheng, Mingfeng Li, Renzhong Deng, Benjamin Doerr

  20883-20891

  2024-03-24

• Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation

  Qingling Zhu, Xiaoqiang Wu, Qiuzhen Lin, Wei-Neng Chen

  20892-20900

  2024-03-24

• ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment

  Eslam Abdelrahman, Pengzhan Sun, Li Erran Li, Mohamed Elhoseiny

  20902-20911

  2024-03-24

• A Framework for Data-Driven Explainability in Mathematical Optimization

  Kevin-Martin Aigner, Marc Goerigk, Michael Hartisch, Frauke Liers, Arthur Miehlich

  20912-20920

  2024-03-24

• On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods

  Kasun Amarasinghe, Kit T. Rodolfa, Sérgio Jesus, Valerie Chen, Vladimir Balayan, Pedro Saleiro, Pedro Bizarro, Ameet Talwalkar, Rayid Ghani

  20921-20929

  2024-03-24

• Risk-Aware Continuous Control with Neural Contextual Bandits

  Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Perez

  20930-20938

  2024-03-24

• Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction

  Daniel Bethell, Simos Gerasimou, Radu Calinescu

  20939-20948

  2024-03-24

• CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving

  Chengtai Cao, Xinhong Chen, Jianping Wang, Qun Song, Rui Tan, Yung-Hui Li

  20949-20957

  2024-03-24

• Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study

  Haotian Chen, Lingwei Zhang, Yiran Liu, Yang Yu

  20958-20966

  2024-03-24

• Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning

  Zhongzhi Chen, Xingwu Sun, Xianfeng Jiao, Fengzong Lian, Zhanhui Kang, Di Wang, Chengzhong Xu

  20967-20974

  2024-03-24

• Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming

  Minjae Cho, Chuangchuang Sun

  20975-20983

  2024-03-24

• Conformal Prediction Regions for Time Series Using Linear Complementarity Programming

  Matthew Cleaveland, Insup Lee, George J. Pappas, Lars Lindemann

  20984-20992

  2024-03-24

• TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples

  Seffi Cohen, Ofir Arbili, Yisroel Mirsky, Lior Rokach

  20993-21000

  2024-03-24

• Find the Lady: Permutation and Re-synchronization of Deep Neural Networks

  Carl De Sousa Trias, Mihai Petru Mitrea, Attilio Fiandrotti, Marco Cagnazzo, Sumanta Chaudhuri, Enzo Tartaglione

  21001-21009

  2024-03-24