Search results for "minimax"

Hits ?▲	Authors	Title	Venue	Year	Link
12	Niklas Åkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani	Online learning of network bottlenecks via minimax paths.	Mach. Learn.	2023	DBLP DOI BibTeX RDF
12	Montacer Essid, Esteban G. Tabak, Giulio Trigila	An implicit gradient-descent procedure for minimax problems.	Math. Methods Oper. Res.	2023	DBLP DOI BibTeX RDF
12	Maryam Azizi, Jan Wilhelm, Dorothea Golze, Matteo Giantomassi, Ramón L. Panadés-Barrueta, Francisco A. Delesma, Alexander Buccheri, Andris Gulans, Patrick Rinke, Claudia Draxl, Xavier Gonze	Time-frequency component of the GreenX library: minimax grids for efficient RPA and \textit{GW} calculations.	J. Open Source Softw.	2023	DBLP DOI BibTeX RDF
12	Shalev Ben-David, Eric Blais	A New Minimax Theorem for Randomized Algorithms.	J. ACM	2023	DBLP DOI BibTeX RDF
12	Rahul Parhi, Robert D. Nowak	Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks.	IEEE Trans. Inf. Theory	2023	DBLP DOI BibTeX RDF
12	Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei	Information-Theoretic Analysis of Minimax Excess Risk.	IEEE Trans. Inf. Theory	2023	DBLP DOI BibTeX RDF
12	Matey Neykov	On the Minimax Rate of the Gaussian Sequence Model Under Bounded Convex Constraints.	IEEE Trans. Inf. Theory	2023	DBLP DOI BibTeX RDF
12	Adeel Mahmood, Aaron B. Wagner	Minimax Rate-Distortion.	IEEE Trans. Inf. Theory	2023	DBLP DOI BibTeX RDF
12	Zhongruo Wang, Krishnakumar Balasubramanian 0002, Shiqian Ma, Meisam Razaviyayn	Zeroth-order algorithms for nonconvex-strongly-concave minimax problems with improved complexities.	J. Glob. Optim.	2023	DBLP DOI BibTeX RDF
12	Jingjing Shen, Ziqi Wang, Zi Xu	Zeroth-order single-loop algorithms for nonconvex-linear minimax problems.	J. Glob. Optim.	2023	DBLP DOI BibTeX RDF
12	Zhengyong Zhou, Xiaoyang Dai	An active set strategy to address the ill-conditioning of smoothing methods for solving finite linear minimax problems.	J. Glob. Optim.	2023	DBLP DOI BibTeX RDF
12	Lesi Chen, Boyuan Yao, Luo Luo	Faster Stochastic Algorithms for Minimax Optimization under Polyak-Łojasiewicz Conditions.	CoRR	2023	DBLP DOI BibTeX RDF
12	Gabriel Mancino-Ball, Yangyang Xu	Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems.	CoRR	2023	DBLP DOI BibTeX RDF
12	Donghwan Lee	Finite-Time Analysis of Minimax Q-Learning for Two-Player Zero-Sum Markov Games: Switching System Approach.	CoRR	2023	DBLP DOI BibTeX RDF
12	Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher	Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems.	CoRR	2023	DBLP DOI BibTeX RDF
12	Feihu Huang, Songcan Chen	Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems.	CoRR	2023	DBLP DOI BibTeX RDF
12	Zhaosong Lu, Sanyou Mei	A first-order augmented Lagrangian method for constrained minimax optimization.	CoRR	2023	DBLP DOI BibTeX RDF
12	Kazusato Oko, Shunta Akiyama, Taiji Suzuki	Diffusion Models are Minimax Optimal Distribution Estimators.	CoRR	2023	DBLP DOI BibTeX RDF
12	Jiayi Huang, Han Zhong 0001, Liwei Wang 0001, Lin F. Yang	Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds.	CoRR	2023	DBLP DOI BibTeX RDF
12	Feihu Huang	Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization.	CoRR	2023	DBLP DOI BibTeX RDF
12	Jiaren Xiao, Quanyu Dai, Xiao Shen 0001, Xiaochen Xie, Jing Dai, James Lam, Ka-Wai Kwok	Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy.	CoRR	2023	DBLP DOI BibTeX RDF
12	Cristina Cipriani, Alessandro Scagliotti, Tobias Wöhrer	A minimax optimal control approach for robust neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
12	Pranay Sharma, Rohan Panda, Gauri Joshi	Federated Minimax Optimization with Client Heterogeneity.	CoRR	2023	DBLP DOI BibTeX RDF
12	Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang	Solving a Class of Non-Convex Minimax Optimization in Federated Learning.	CoRR	2023	DBLP DOI BibTeX RDF
12	Jose H. Blanchet, Haoxuan Chen, Yiping Lu 0001, Lexing Ying	When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality.	CoRR	2023	DBLP DOI BibTeX RDF
12	Fengyin Li, Yuqiang Li, Xianyi Wu	Minimax Weight Learning for Absorbing MDPs.	CoRR	2023	DBLP DOI BibTeX RDF
12	Jin Liu, Xiaokang Pan, Junwen Duan, Hongdong Li, Youqi Li, Zhe Qu	Breaking the Complexity Barrier in Compositional Minimax Optimization.	CoRR	2023	DBLP DOI BibTeX RDF
12		The minimax risk in testing the histogram of discrete distributions for uniformity under missing ball alternatives.	CoRR	2023	DBLP DOI BibTeX RDF
12	Pierre Clavier, Erwan Le Pennec, Matthieu Geist	Towards Minimax Optimality of Model-based Robust Reinforcement Learning.	CoRR	2023	DBLP DOI BibTeX RDF
12	Housen Li, Frank Werner 0002	Adaptive minimax optimality in statistical inverse problems via SOLIT - Sharp Optimal Lepskii-Inspired Tuning.	CoRR	2023	DBLP DOI BibTeX RDF
12	Reese Pathak, Martin J. Wainwright, Lin Xiao	Noisy recovery from random linear observations: Sharp minimax rates under elliptical constraints.	CoRR	2023	DBLP DOI BibTeX RDF
12	Patrik Róbert Gerber, Yanjun Han, Yury Polyanskiy	Minimax optimal testing by classification.	CoRR	2023	DBLP DOI BibTeX RDF
12	Hongbing Zhang	Nonconvex third-order Tensor Recovery Based on Logarithmic Minimax Function.	CoRR	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.	CoRR	2023	DBLP DOI BibTeX RDF
12	Adam Zychowski, Andrew Perrault, Jacek Mandziuk	Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret.	CoRR	2023	DBLP DOI BibTeX RDF
12	Jason D. Hartline, Aleck C. Johnsen	Extension of Minimax for Algorithmic Lower Bounds.	CoRR	2023	DBLP DOI BibTeX RDF
12	Yangyang Xu	Decentralized gradient descent maximization method for composite nonconvex strongly-concave minimax problems.	CoRR	2023	DBLP DOI BibTeX RDF
12	Marat V. Burnashev	On Minimax Detection of Gaussian Stochastic Sequences with Imprecisely Known Means and Covariance Matrices.	CoRR	2023	DBLP DOI BibTeX RDF
12	Constantin Ickstadt, Thorsten Theobald, Elias P. Tsigaridas, Antonios Varvitsiotis	Semidefinite network games: multiplayer minimax and semidefinite complementarity problems.	CoRR	2023	DBLP DOI BibTeX RDF
12	Jiaqi Liu 0003, Jian Lou 0001, Zhan Qin, Kui Ren 0001	Certified Minimax Unlearning with Generalization Rates and Deletion Capacity.	CoRR	2023	DBLP DOI BibTeX RDF
12	Verónica Álvarez, Santiago Mazuelas, José Antonio Lozano 0001	Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees.	CoRR	2023	DBLP DOI BibTeX RDF
12		Effective Bilevel Optimization via Minimax Reformulation.	CoRR	2023	DBLP DOI BibTeX RDF
12	Lijun Zhang 0005, Wei-Wei Tu	Efficient Stochastic Approximation of Minimax Excess Risk Optimization.	CoRR	2023	DBLP DOI BibTeX RDF
12	Luis B. Morales, Dursun A. Bulutoglu	A bit-parallel tabu search algorithm for finding E(s2)-optimal and minimax-optimal supersaturated designs.	CoRR	2023	DBLP DOI BibTeX RDF
12	Chao Wang, Caixing Wang, Xin He, Xingdong Feng	Minimax Optimal Transfer Learning for Kernel-based Nonparametric Regression.	CoRR	2023	DBLP DOI BibTeX RDF
12	Subhro Ghosh, Soumendu Sundar Mukherjee, Jing Bin Pan	Minimax-optimal estimation for sparse multi-reference alignment with collision-free signals.	CoRR	2023	DBLP DOI 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.	CoRR	2023	DBLP DOI BibTeX RDF
12	Puning Zhao, Lifeng Lai	Minimax Optimal Q Learning with Nearest Neighbors.	CoRR	2023	DBLP DOI BibTeX RDF
12	Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara	Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness.	CoRR	2023	DBLP DOI BibTeX RDF
12	Daniel Bairamian, Philippe Marcotte, Joshua Romoff, Gabriel Robert, Derek Nowrouzezahrai	Minimax Exploiter: A Data Efficient Approach for Competitive Self-Play.	CoRR	2023	DBLP DOI BibTeX RDF
12	Kaiwen Wang, Nathan Kallus, Wen Sun 0002	Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR.	CoRR	2023	DBLP DOI BibTeX RDF
12	Sihan Zeng, Thinh T. Doan 0001, Justin Romberg	Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems.	CoRR	2023	DBLP DOI BibTeX RDF
12	Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez	Efficient Learning of Minimax Risk Classifiers in High Dimensions.	CoRR	2023	DBLP DOI BibTeX RDF
12	Guillermo Cabrera-Vives, César Bolivar, Francisco Förster, Alejandra Muñoz Arancibia, Manuel Pérez-Carrasco, Esteban Reyes	Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts.	CoRR	2023	DBLP DOI BibTeX RDF
12	Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge	Minimax-Bayes Reinforcement Learning.	CoRR	2023	DBLP DOI 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.	CoRR	2023	DBLP DOI BibTeX RDF
12	Masahiro Kato, Masaaki Imaizumi, Takuya Ishihara, Toru Kitagawa	Asymptotically Minimax Optimal Fixed-Budget Best Arm Identification for Expected Simple Regret Minimization.	CoRR	2023	DBLP DOI BibTeX RDF
12	Federica Granese, Marco Romanelli 0002, Siddharth Garg, Pablo Piantanida	A Minimax Approach Against Multi-Armed Adversarial Attacks Detection.	CoRR	2023	DBLP DOI BibTeX RDF
12	Ron Holzman	The minimax property in infinite two-person win-lose games.	CoRR	2023	DBLP DOI BibTeX RDF
12	Lei-Hong Zhang, Linyi Yang, Wei Hong Yang, Ya-Nan Zhang	A convex dual programming for the rational minimax approximation and Lawson's iteration.	CoRR	2023	DBLP DOI 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.	CoRR	2023	DBLP DOI BibTeX RDF
12	Gen Li 0005, Yuling Yan, Yuxin Chen 0002, Jianqing Fan	Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning.	CoRR	2023	DBLP DOI BibTeX RDF
12	Artin Tajdini, Lalit Jain, Kevin Jamieson 0001	Minimax Optimal Submodular Optimization with Bandit Feedback.	CoRR	2023	DBLP DOI BibTeX RDF
12	Wei Shen, Minhui Huang, Jiawei Zhang, Cong Shen	Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization.	CoRR	2023	DBLP DOI BibTeX RDF
12	Huiling Zhang, Zi Xu	An accelerated first-order regularized momentum descent ascent algorithm for stochastic nonconvex-concave minimax problems.	CoRR	2023	DBLP DOI BibTeX RDF
12	Mingyuan Zhang, Ambuj Tewari	On the Minimax Regret in Online Ranking with Top-k Feedback.	CoRR	2023	DBLP DOI BibTeX RDF
12	Takashi Furuya, Satoshi Okuda, Kazuma Suetake, Yoshihide Sawada	Convergences for Minimax Optimization Problems over Infinite-Dimensional Spaces Towards Stability in Adversarial Training.	CoRR	2023	DBLP DOI BibTeX RDF
12	Gavin Zhang, Hong-Ming Chiu, Richard Y. Zhang	Fast and Minimax Optimal Estimation of Low-Rank Matrices via Non-Convex Gradient Descent.	CoRR	2023	DBLP DOI BibTeX RDF
12	Yihan Zhang, Wenhao Jiang, Feng Zheng, Chiu C. Tan 0001, Xinghua Shi, Hongchang Gao	Can Decentralized Stochastic Minimax Optimization Algorithms Converge Linearly for Finite-Sum Nonconvex-Nonconcave Problems?	CoRR	2023	DBLP DOI BibTeX RDF
12	Jiseok Chae, Kyuwon Kim, Donghwan Kim	Two-timescale Extragradient for Finding Local Minimax Points.	CoRR	2023	DBLP DOI BibTeX RDF
12	Debangshu Banerjee, Aditya Gopalan	On the Minimax Regret for Linear Bandits in a wide variety of Action Spaces.	CoRR	2023	DBLP DOI BibTeX RDF
12	Patrick Chao, Edgar Dobriban	Statistical Estimation Under Distribution Shift: Wasserstein Perturbations and Minimax Theory.	CoRR	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.	CoRR	2023	DBLP DOI BibTeX RDF
12	Hongchang Gao	Achieving Linear Speedup in Decentralized Stochastic Compositional Minimax Optimization.	CoRR	2023	DBLP DOI BibTeX RDF
12	Wesley H. Holliday, Eric Pacuit	An extension of May's Theorem to three alternatives: axiomatizing Minimax voting.	CoRR	2023	DBLP DOI BibTeX RDF
12	Venkatraman Renganathan, Andrea Iannelli, Anders Rantzer	An Online Learning Analysis of Minimax Adaptive Control.	CoRR	2023	DBLP DOI BibTeX RDF
12	Khaled Eldowa, Emmanuel Esposito, Tommaso Cesari, Nicolò Cesa-Bianchi	On the Minimax Regret for Online Learning with Feedback Graphs.	CoRR	2023	DBLP DOI BibTeX RDF
12	Loay Mualem, Ethan R. Elenberg, Moran Feldman, Amin Karbasi	Submodular Minimax Optimization: Finding Effective Sets.	CoRR	2023	DBLP DOI BibTeX RDF
12	Xidong Wu, Zhengmian Hu, Heng Huang	Decentralized Riemannian Algorithm for Nonconvex Minimax Problems.	CoRR	2023	DBLP DOI BibTeX RDF
12	Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You 0001, Yiran Chen 0001	Efficient Dataset Distillation via Minimax Diffusion.	CoRR	2023	DBLP DOI BibTeX RDF
12	Minqi Jiang, Michael Dennis 0001, Edward Grefenstette, Tim Rocktäschel	minimax: Efficient Baselines for Autocurricula in JAX.	CoRR	2023	DBLP DOI BibTeX RDF
12	Mark M. Kogan	On the Lagrange Duality of Stochastic and Deterministic Minimax Control and Filtering Problems.	Autom. Remote. Control.	2023	DBLP DOI BibTeX RDF
12	Ziqian Liu	Chaotic synchronization of neuronet-type stochastic complex networks using decentralized differential minimax controllers.	Int. J. Gen. Syst.	2023	DBLP DOI BibTeX RDF
12	Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn 0001, Peyman Mohajerin Esfahani	Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization.	Math. Oper. Res.	2023	DBLP DOI BibTeX RDF
12	Mike G. Tsionas	Minimax regret priors for efficiency estimation.	Eur. J. Oper. Res.	2023	DBLP DOI BibTeX RDF
12	Edward J. Anderson, Stan Zachary	Minimax decision rules for planning under uncertainty: Drawbacks and remedies.	Eur. J. Oper. Res.	2023	DBLP DOI BibTeX RDF
12	Zi Xu, Huiling Zhang, Yang Xu, Guanghui Lan	A unified single-loop alternating gradient projection algorithm for nonconvex-concave and convex-nonconcave minimax problems.	Math. Program.	2023	DBLP DOI BibTeX RDF
12	Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab Mirrokni	The landscape of the proximal point method for nonconvex-nonconcave minimax optimization.	Math. Program.	2023	DBLP DOI BibTeX RDF
12	Feihu Huang, Shangqian Gao	Gradient Descent Ascent for Minimax Problems on Riemannian Manifolds.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
12	Taoran Song, Hao Pu, Paul M. Schonfeld, Jianping Hu	Railway Alignment Optimization Under Uncertainty With a Minimax Robust Method.	IEEE Intell. Transp. Syst. Mag.	2023	DBLP DOI BibTeX RDF
12	Dennis Müller 0008	Minimax estimation of the mode of functional data.	J. Multivar. Anal.	2023	DBLP DOI BibTeX RDF
12	Karine Bertin, Christian Genest, Nicolas Klutchnikoff, Frédéric Ouimet	Minimax properties of Dirichlet kernel density estimators.	J. Multivar. Anal.	2023	DBLP DOI BibTeX RDF
12	Michail I. Schlesinger, Valerii Krygin	Minimax Theorem Revisited.	Am. Math. Mon.	2023	DBLP DOI BibTeX RDF
12	Jiuqiang Liu	Necessary and sufficient conditions for solutions of the Ky Fan minimax inequality and the non-emptiness of fuzzy cores in economies.	Fuzzy Sets Syst.	2023	DBLP DOI BibTeX RDF
12	Adam Seliga, Radko Mesiar, Yao Ouyang, Jun Li 0014	Minimax decomposition integrals.	Fuzzy Sets Syst.	2023	DBLP DOI BibTeX RDF
12	Kihyun Kim, Insoon Yang	Distributional Robustness in Minimax Linear Quadratic Control with Wasserstein Distance.	SIAM J. Control. Optim.	2023	DBLP DOI BibTeX RDF
12	Marco Coraggio, Saber Jafarpour, Francesco Bullo, Mario di Bernardo	Minimax Flow Over Acyclic Networks: Distributed Algorithms and Microgrid Application.	IEEE Trans. Control. Netw. Syst.	2023	DBLP DOI BibTeX RDF
12	Weibo Fu, Guanyang Wang, Jun Yan	On the minimax spherical designs.	Random Struct. Algorithms	2023	DBLP DOI BibTeX RDF
12	Linh Anh Nguyen, Ivana Micic, Stefan Stanimirovic	Fuzzy Minimax Nets.	IEEE Trans. Fuzzy Syst.	2023	DBLP DOI BibTeX RDF
12	Zicong Xia, Yang Liu 0040, Jiasen Wang, Jun Wang 0002	Two-timescale recurrent neural networks for distributed minimax optimization.	Neural Networks	2023	DBLP DOI BibTeX RDF