Search results for "minimax"

Hits ?▲	Authors	Title	Venue	Year	Link
12	Jaechan Lim, Jin-Young Park, Hyung-Min Park	Minimax Monte Carlo object tracking.	Vis. Comput.	2023	DBLP DOI BibTeX RDF
12	Junru Luo, Hong Qiao, Bo Zhang 0006	A Minimax Probability Machine for Nondecomposable Performance Measures.	IEEE Trans. Neural Networks Learn. Syst.	2023	DBLP DOI BibTeX RDF
12	Hongbing Zhang, Hongtao Fan, Yajing Li 0002, Xinyi Liu, Chang Liu, Xin-Yun Zhu	Tensor Recovery Based on a Novel Non-Convex Function Minimax Logarithmic Concave Penalty Function.	IEEE Trans. Image Process.	2023	DBLP DOI BibTeX RDF
12	James Ji, Michael Thielscher	MCTS with Dynamic Depth Minimax.	ACG	2023	DBLP DOI BibTeX RDF
12	Maximilian H. V. Tillmann, Masahiro Yukawa	Distributed Stable Outlier-Robust Signal Recovery using Minimax Concave Loss.	MLSP	2023	DBLP DOI BibTeX RDF
12	Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez	Efficient Learning of Minimax Risk Classifiers in High Dimensions.	UAI	2023	DBLP BibTeX RDF
12	Mustafa Saraoglu, Heng Jiang, Manuel Schirmer, Ilhan Mutlu, Klaus Janschek	A Minimax-Based Decision-Making Approach for Safe Maneuver Planning in Automated Driving.	ACC	2023	DBLP DOI BibTeX RDF
12	Orest V. Iftime, Michael A. Demetriou, Sergiy Zhuk	A minimax sliding mode control design on finite horizon for linear evolution equations with switching modes.	ACC	2023	DBLP DOI BibTeX RDF
12	Noam Gavish, Or Ordentlich	Minimax Risk Upper Bounds Based on Shell Analysis of a Quantized Maximum Likelihood Estimator.	ISIT	2023	DBLP DOI BibTeX RDF
12	Fethi Bencherki, Anders Rantzer	Robust Simultaneous Stabilization Via Minimax Adaptive Control.	CDC	2023	DBLP DOI BibTeX RDF
12	Braghadeesh Lakshminarayanan, Cristian R. Rojas	Minimax Two-Stage Gradient Boosting for Parameter Estimation.	CDC	2023	DBLP DOI BibTeX RDF
12	Venkatraman Renganathan, Andrea Iannelli, Anders Rantzer	An Online Learning Analysis of Minimax Adaptive Control.	CDC	2023	DBLP DOI BibTeX RDF
12	Haozhe Wang, Chao Du, Panyan Fang, Li He, Liang Wang, Bo Zheng 0007	Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning.	KDD	2023	DBLP DOI BibTeX RDF
12	Yongjian Yu, Jue Wang 0005	Fluorescence Image Visualization using Multi-Channel Minimax Optimization (MCMO).	CBMS	2023	DBLP DOI BibTeX RDF
12	Jue Chen, Huan Yuan, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang	Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks.	ACM Multimedia	2023	DBLP DOI BibTeX RDF
12	Xidong Wu, Zhengmian Hu, Heng Huang	Decentralized Riemannian Algorithm for Nonconvex Minimax Problems.	AAAI	2023	DBLP DOI BibTeX RDF
12	Zhenhuan Yang, Yan Lok Ko, Kush R. Varshney, Yiming Ying	Minimax AUC Fairness: Efficient Algorithm with Provable Convergence.	AAAI	2023	DBLP DOI BibTeX RDF
12	Yu Hong, Jiahang Li, Jianchuan Feng, Chenghua Huang, Zhixu Li, Jianfeng Qu, Yanghua Xiao, Wei Wang 0009	Competition or Cooperation? Exploring Unlabeled Data via Challenging Minimax Game for Semi-supervised Relation Extraction.	AAAI	2023	DBLP DOI BibTeX RDF
12	Jiahao Xie 0001, Chao Zhang 0029, Zebang Shen, Weijie Liu 0006, Hui Qian 0001	CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems.	AAAI	2023	DBLP DOI BibTeX RDF
12	Xinyi Tong, Xiangxiang Xu 0001, Shao-Lun Huang, Lizhong Zheng	Robust Transfer Learning Based on Minimax Principle.	Allerton	2023	DBLP DOI BibTeX RDF
12	Alon Kipnis	The Minimax Risk in Testing the Histogram of Discrete Distributions for Uniformity under Missing Ball Alternatives.	Allerton	2023	DBLP DOI BibTeX RDF
12	Kasin Ransikarbum, Chewaphorn Chaiyaphan, Mathukorn Sainakham, Arthit Apichottanakul	Model and Analysis of Delivery Route in the Healthcare Cold Chain Network using Minimax Vehicle Routing Problem with Time Window (VRPTW).	MSIE	2023	DBLP DOI BibTeX RDF
12	Shivam Gupta 0002, Jasper C. H. Lee, Eric Price 0001, Paul Valiant	Minimax-Optimal Location Estimation.	NeurIPS	2023	DBLP BibTeX RDF
12	Taoli Zheng, Linglingzhi Zhu, Anthony Man-Cho So, Jose H. Blanchet, Jiajin Li	Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization.	NeurIPS	2023	DBLP BibTeX RDF
12	Kazuto Fukuchi, Jun Sakuma	Demographic Parity Constrained Minimax Optimal Regression under Linear Model.	NeurIPS	2023	DBLP BibTeX RDF
12	Yifei Wang 0001, Liangchen Li, Jiansheng Yang, Zhouchen Lin, Yisen Wang 0001	Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective.	NeurIPS	2023	DBLP BibTeX RDF
12	Masatoshi Uehara, Nathan Kallus, Jason D. Lee, Wen Sun 0002	Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage.	NeurIPS	2023	DBLP BibTeX RDF
12	Khaled Eldowa, Emmanuel Esposito, Tommaso Cesari, Nicolò Cesa-Bianchi	On the Minimax Regret for Online Learning with Feedback Graphs.	NeurIPS	2023	DBLP BibTeX RDF
12	Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang	Solving a Class of Non-Convex Minimax Optimization in Federated Learning.	NeurIPS	2023	DBLP BibTeX RDF
12	Verónica Álvarez, Santiago Mazuelas, Jose A. Lozano	Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees.	NeurIPS	2023	DBLP BibTeX RDF
12	Jose H. Blanchet, Haoxuan Chen, Yiping Lu 0001, Lexing Ying	When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality.	NeurIPS	2023	DBLP BibTeX RDF
12	Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park	Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy.	NeurIPS	2023	DBLP BibTeX RDF
12	Jiaqi Liu 0003, Jian Lou 0001, Zhan Qin, Kui Ren 0001	Certified Minimax Unlearning with Generalization Rates and Deletion Capacity.	NeurIPS	2023	DBLP BibTeX RDF
12	Dat Do, Huy Nguyen, Khai Nguyen, Nhat Ho	Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models.	NeurIPS	2023	DBLP BibTeX RDF
12	Yuanyuan Liu 0001, Fanhua Shang, Weixin An, Junhao Liu, Hongying Liu, Zhouchen Lin	A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization.	NeurIPS	2023	DBLP BibTeX RDF
12	Jiayi Huang, Han Zhong 0001, Liwei Wang 0001, Lin Yang 0011	Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds.	NeurIPS	2023	DBLP BibTeX RDF
12	Sihan Zeng, Thinh T. Doan 0001, Justin Romberg	Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems.	NeurIPS	2023	DBLP BibTeX RDF
12	Patrik R. Gerber, Yanjun Han, Yury Polyanskiy	Minimax optimal testing by classification.	COLT	2023	DBLP BibTeX RDF
12	Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara	Minimax Instrumental Variable Regression and L2 Convergence Guarantees without Identification or Closedness.	COLT	2023	DBLP BibTeX RDF
12	Jiseok Chae, Kyuwon Kim, Donghwan Kim	Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima?	COLT	2023	DBLP BibTeX RDF
12	Constantinos Daskalakis, Noah Golowich, Stratis Skoulakis, Emmanouil Zampetakis	STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games.	COLT	2023	DBLP BibTeX RDF
12	Marco Antônio Athayde de Aguiar Vieira, Anderson Rocha Tavares, Renato Perez Ribas	Hybrid Minimax-MCTS and Difficulty Adjustment for General Game Playing.	SBGames	2023	DBLP DOI BibTeX RDF
12	Jikai Jin, Yiping Lu 0001, José H. Blanchet, Lexing Ying	Minimax Optimal Kernel Operator Learning via Multilevel Training.	ICLR	2023	DBLP BibTeX RDF
12	Pihe Hu, Yu Chen, Longbo Huang	Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs.	ICLR	2023	DBLP BibTeX RDF
12	Wei Xiong 0015, Han Zhong 0001, Chengshuai Shi, Cong Shen 0001, Liwei Wang 0001, Tong Zhang 0001	Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game.	ICLR	2023	DBLP BibTeX RDF
12	Xiang Li, Junchi Yang, Niao He	TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization.	ICLR	2023	DBLP BibTeX RDF
12	Hanseul Cho 0002, Chulhee Yun	SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization.	ICLR	2023	DBLP BibTeX RDF
12	Kazusato Oko, Shunta Akiyama, Taiji Suzuki	Diffusion Models are Minimax Optimal Distribution Estimators.	ICML	2023	DBLP BibTeX RDF
12	Chris Junchi Li, Huizhuo Yuan, Gauthier Gidel, Quanquan Gu, Michael I. Jordan	Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization.	ICML	2023	DBLP BibTeX RDF
12	Sanae Amani, Tor Lattimore, András György 0001, Lin Yang 0011	Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost.	ICML	2023	DBLP BibTeX RDF
12	Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári, Wataru Kumagai, Yutaka Matsuo	Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice.	ICML	2023	DBLP BibTeX RDF
12	Jiafan He, Heyang Zhao, Dongruo Zhou, Quanquan Gu	Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes.	ICML	2023	DBLP BibTeX RDF
12	Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed	Minimax estimation of discontinuous optimal transport maps: The semi-discrete case.	ICML	2023	DBLP BibTeX RDF
12	Kaiwen Wang, Nathan Kallus, Wen Sun 0002	Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR.	ICML	2023	DBLP BibTeX RDF
12	Qiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu	Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path.	ICML	2023	DBLP BibTeX RDF
12	Mingzhou Liu, Xiangyu Zheng, Xinwei Sun 0001, Fang Fang, Yizhou Wang 0001	Which Invariance Should We Transfer? A Causal Minimax Learning Approach.	ICML	2023	DBLP BibTeX RDF
12	Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell 0001	When do Minimax-fair Learning and Empirical Risk Minimization Coincide?	ICML	2023	DBLP BibTeX RDF
12	Yoqsan Angeles-García, Valeria Karina Legaria-Santiago, Álvaro Anzueto-Ríos, Hiram Calvo	Optimizing Strategy Games: Ant Colony Optimization vs. Minimax Algorithm.	SSCI	2023	DBLP DOI BibTeX RDF
12	Juncheng Hu, Xiaoyu Du, Youjun Xiang, Zhen Chen 0010	Adaptive Minimax-Concave Penalty based MR Image Denoising with Difference of Gaussian filter.	ICIGP	2023	DBLP DOI BibTeX RDF
12	Feihu Huang, Xidong Wu, Zhengmian Hu	AdaGDA: Faster Adaptive Gradient Descent Ascent Methods for Minimax Optimization.	AISTATS	2023	DBLP BibTeX RDF
12	Rong Tang, Yun Yang	Minimax Nonparametric Two-Sample Test under Adversarial Losses.	AISTATS	2023	DBLP BibTeX RDF
12	Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge	Minimax-Bayes Reinforcement Learning.	AISTATS	2023	DBLP BibTeX RDF
12	Quentin Cohen-Solal, Tristan Cazenave	Minimax Strikes Back.	AAMAS	2023	DBLP BibTeX RDF
12	Cyprien Gilet, Marie Guyomard, Susana Barbosa, Lionel Fillatre	Multiclass Minimax Learning for Deep Neural Networks.	EUSIPCO	2023	DBLP DOI BibTeX RDF
12	Linfeng Yang, Zhen Zhang, Keqin Che, Shaofu Yang, Suyang Wang	Communication-Efficient Distributed Minimax Optimization via Markov Compression.	ICONIP (1)	2023	DBLP DOI BibTeX RDF
12	Michalis Korakakis, Andreas Vlachos 0003	Improving the robustness of NLI models with minimax training.	ACL (1)	2023	DBLP DOI BibTeX RDF
12	Xiaoguang Zhou, Xin He, Xiaoxia Huang	Uncertain minimax mean-variance and mean-semivariance models for portfolio selection1.	J. Intell. Fuzzy Syst.	2022	DBLP DOI BibTeX RDF
12	Xiang Li 0006, Tianyu Zhang, Liang Wang 0014, Hongguang Ma 0002, Xiande Zhao	A minimax regret model for the leader-follower facility location problem.	Ann. Oper. Res.	2022	DBLP DOI BibTeX RDF
12	Zhe Hong, Kwan Deok Bae, Do Sang Kim	Minimax programming as a tool for studying robust multi-objective optimization problems.	Ann. Oper. Res.	2022	DBLP DOI BibTeX RDF
12	Subha Maity, Yuekai Sun, Moulinath Banerjee	Minimax optimal approaches to the label shift problem in non-parametric settings.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
12	Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang	Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
12	Keru Wu, Scott C. Schmidler, Yuansi Chen	Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
12	Oscar Hernan Madrid Padilla, Wesley Tansey, Yanzhen Chen	Quantile regression with ReLU Networks: Estimators and minimax rates.	J. Mach. Learn. Res.	2022	DBLP BibTeX RDF
12	Abdelouafi Ghazi, Ahmed Roubi	A DC approach for minimax fractional optimization programs with ratios of convex functions.	Optim. Methods Softw.	2022	DBLP DOI BibTeX RDF
12	Yuzixuan Zhu, Deyi Liu, Quoc Tran-Dinh	New Primal-Dual Algorithms for a Class of Nonsmooth and Nonlinear Convex-Concave Minimax Problems.	SIAM J. Optim.	2022	DBLP DOI BibTeX RDF
12	Xinxing Li, Lele Xi, Wenzhong Zha, Zhihong Peng	Minimax Q-learning design for H∞ control of linear discrete-time systems.	Frontiers Inf. Technol. Electron. Eng.	2022	DBLP DOI BibTeX RDF
12	Mostafa El Haffari	An entropic regularized method of centers for continuous minimax problem with semi infinite constraints.	J. Appl. Math. Comput.	2022	DBLP DOI BibTeX RDF
12	Zepeng Li, Baijie Qiao, Bi Wen, Yanan Wang, Xuefeng Chen 0002	Acoustic Mode Measuring Approach Developed on Generalized Minimax-Concave Regularization and Tikhonov Regularization.	IEEE Trans. Instrum. Meas.	2022	DBLP DOI BibTeX RDF
12	Xinyu Qi, Jinru Wang, Xiaochen Zeng	Minimax optimal estimation of high-dimensional sparse covariance matrices with missing data.	Int. J. Wavelets Multiresolution Inf. Process.	2022	DBLP DOI BibTeX RDF
12	Xin Luo, Min Sun	Development of modal interval algorithm for solving continuous minimax problems.	Appl. Math. Comput.	2022	DBLP DOI BibTeX RDF
12	Reshma Rastogi, Sambhav Jain	Multi-label learning via minimax probability machine.	Int. J. Approx. Reason.	2022	DBLP DOI BibTeX RDF
12	Yanfei Wen, Wenxing Zhang	A Minimax Model for Generalized Penetration Distance Between Convex Sets by Directed Hausdorff Distance.	IEEE Robotics Autom. Lett.	2022	DBLP DOI BibTeX RDF
12	Darukeesan Pakiyarajah, Chamira U. S. Edussooriya	Minimax Design of Computationally-Efficient FIR Graph Filters Using Semidefinite Programming.	IEEE Trans. Circuits Syst. II Express Briefs	2022	DBLP DOI BibTeX RDF
12	Ashira L. Jayaweera, Darukeesan Pakiyarajah, Chamira U. S. Edussooriya	Minimax Design of M-D Sparse FIR Filters With Arbitrary Frequency Response Using SOCP.	IEEE Trans. Circuits Syst. II Express Briefs	2022	DBLP DOI BibTeX RDF
12	Feihong Yang, Yuan Shen 0001	A Minimax Framework for Two-Agent Scheduling With Inertial Constraints.	IEEE Trans. Intell. Transp. Syst.	2022	DBLP DOI BibTeX RDF
12	Feihong Yang, Yuan Shen 0001	A Minimax Scheduling Framework for Inertially-Constrained Multi-Agent Systems.	IEEE Trans. Intell. Transp. Syst.	2022	DBLP DOI BibTeX RDF
12	Gianluigi Pillonetto, Anna Scampicchio	Sample Complexity and Minimax Properties of Exponentially Stable Regularized Estimators.	IEEE Trans. Autom. Control.	2022	DBLP DOI BibTeX RDF
12	Raghuram Bharadwaj Diddigi, Chandramouli Kamanchi, Shalabh Bhatnagar	A Generalized Minimax Q-Learning Algorithm for Two-Player Zero-Sum Stochastic Games.	IEEE Trans. Autom. Control.	2022	DBLP DOI BibTeX RDF
12	Bor-Sen Chen, Chun-Tao Yang, Min-Yen Lee	Multiplayer Noncooperative and Cooperative Minimax H∞ Tracking Game Strategies for Linear Mean-Field Stochastic Systems With Applications to Cyber-Social Systems.	IEEE Trans. Cybern.	2022	DBLP DOI BibTeX RDF
12	Merle Behr, Axel Munk	Statistical Methods for Minimax Estimation in Linear Models with Unknown Design Over Finite Alphabets.	SIAM J. Math. Data Sci.	2022	DBLP DOI BibTeX RDF
12	Xiaoxue Zhang, Ruijie Zhao 0002, Yu Liu	Minimax Design of 2D FIR Half-Band Filters Using an Efficient Matrix-Based IRLS Algorithm.	J. Circuits Syst. Comput.	2022	DBLP DOI BibTeX RDF
12	Shalev Ben-David, Eric Blais, Mika Göös, Gilbert Maystre	Randomised Composition and Small-Bias Minimax.	Electron. Colloquium Comput. Complex.	2022	DBLP BibTeX RDF
12	Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright	Minimax Off-Policy Evaluation for Multi-Armed Bandits.	IEEE Trans. Inf. Theory	2022	DBLP DOI BibTeX RDF
12	Chao Gao, Anderson Y. Zhang	SDP Achieves Exact Minimax Optimality in Phase Synchronization.	IEEE Trans. Inf. Theory	2022	DBLP DOI BibTeX RDF
12	Shun Watanabe	Minimax Converse for Identification via Channels.	IEEE Trans. Inf. Theory	2022	DBLP DOI BibTeX RDF
12	Tadashi Kozuno, Wenhao Yang, Nino Vieillard, Toshinori Kitamura, Yunhao Tang, Jincheng Mei, Pierre Ménard, Mohammad Gheshlaghi Azar, Michal Valko, Rémi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvári	KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal.	CoRR	2022	DBLP DOI BibTeX RDF
12	Sitan Chen, Jerry Li 0001, Yuanzhi Li, Raghu Meka	Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs.	CoRR	2022	DBLP BibTeX RDF
12	Shalev Ben-David, Eric Blais, Mika Göös, Gilbert Maystre	Randomised Composition and Small-Bias Minimax.	CoRR	2022	DBLP DOI BibTeX RDF
12	Zichu Liu, Lacra Pavel	Recursive Reasoning in Minimax Games: A Level k Gradient Play Method.	CoRR	2022	DBLP DOI BibTeX RDF
12	Wei Xiong 0015, Han Zhong 0001, Chengshuai Shi, Cong Shen 0001, Liwei Wang 0001, Tong Zhang 0001	Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game.	CoRR	2022	DBLP DOI BibTeX RDF