Search results for "minimax"

Hits ?▲	Authors	Title	Venue	Year	Link
12	Kyohei Suzuki, Masahiro Yukawa	Sparse Stable Outlier-Robust Regression with Minimax Concave Function.	MLSP	2022	DBLP DOI BibTeX RDF
12	Farah Mahdi Alsalami, Sujan Rajbhandari, Zahir Ahmad, David Grace	Scalar Minimax Filter-based Phase Tracking for Continuous-Variable Quantum Key Distribution.	CSNDSP	2022	DBLP DOI BibTeX RDF
12	Allen Liu, Ankur Moitra	Minimax Rates for Robust Community Detection.	FOCS	2022	DBLP DOI BibTeX RDF
12	Shalev Ben-David, Eric Blais, Mika Göös, Gilbert Maystre	Randomised Composition and Small-Bias Minimax.	FOCS	2022	DBLP DOI BibTeX RDF
12	Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying	Differentially private SGDA for minimax problems.	UAI	2022	DBLP BibTeX RDF
12	Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab S. Mirrokni	Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems.	ALT	2022	DBLP BibTeX RDF
12	Aditya Dave, Nishanth Venkatesh, Andreas A. Malikopoulos	On Decentralized Minimax Control with Nested Subsystems.	ACC	2022	DBLP DOI BibTeX RDF
12	Olle Kjellqvist, Anders Rantzer	Minimax Adaptive Estimation for Finite Sets of Linear Systems.	ACC	2022	DBLP DOI BibTeX RDF
12	Seyed Mohammadreza Mousavi Kalan, Mahdi Soltanolkotabi, Amir Salman Avestimehr	Statistical Minimax Lower Bounds for Transfer Learning in Linear Binary Classification.	ISIT	2022	DBLP DOI BibTeX RDF
12	Liyan Xie	Minimax Robust Quickest Change Detection using Wasserstein Ambiguity Sets.	ISIT	2022	DBLP DOI BibTeX RDF
12	Philippe Jacquet, Gil I. Shamir, Wojciech Szpankowski	Precise Minimax Regret for Logistic Regression.	ISIT	2022	DBLP DOI BibTeX RDF
12	Tianren Peng, Weida Wang, Shao-Lun Huang	A Mathematical Framework to Characterize the Dependency Structures in Multimodal Learning with Minimax Principle.	ISIT	2022	DBLP DOI BibTeX RDF
12	Adeel Mahmood, Aaron B. Wagner	Minimax Rate-Distortion.	ISIT	2022	DBLP DOI BibTeX RDF
12	Ziyi Chen 0002, Shaocong Ma, Yi Zhou 0017	Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning.	ISIT	2022	DBLP DOI BibTeX RDF
12	Daniel Cederberg, Anders Hansson, Anders Rantzer	Synthesis of Minimax Adaptive Controller for a Finite Set of Linear Systems.	CDC	2022	DBLP DOI BibTeX RDF
12	Chengchang Liu, Shuxian Bi, Luo Luo, John C. S. Lui	Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality.	KDD	2022	DBLP DOI BibTeX RDF
12	Yongxu Liu 0004, Xiaoyan Fu, Yu Song, Lijuan Zhou, Wenling Li	MRI Reconstruction using Minimax-Concave Total Variation Regularization based on p-norm.	SMC	2022	DBLP DOI BibTeX RDF
12	Xiaochun Niu, Ermin Wei	GRAND: A Gradient-Related Ascent and Descent Algorithmic Framework for Minimax Problems.	Allerton	2022	DBLP DOI BibTeX RDF
12	Xuan Zhang, Necdet Serhat Aybat, Mert Gürbüzbalaban	SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems.	NeurIPS	2022	DBLP BibTeX RDF
12	Dmitry Kovalev, Alexander V. Gasnikov	The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization.	NeurIPS	2022	DBLP BibTeX RDF
12	Zhenyu Sun, Ermin Wei	A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning.	NeurIPS	2022	DBLP BibTeX RDF
12	Junwen Yang, Vincent Y. F. Tan	Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits.	NeurIPS	2022	DBLP BibTeX RDF
12	Daniel Lee, Georgy Noarov, Mallesh M. Pai, Aaron Roth 0001	Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications.	NeurIPS	2022	DBLP BibTeX RDF
12	Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu 0001, Jiantao Jiao, Kannan Ramchandran	Minimax Optimal Online Imitation Learning via Replay Estimation.	NeurIPS	2022	DBLP BibTeX RDF
12	Gen Li 0005, Yuejie Chi, Yuting Wei, Yuxin Chen 0002	Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model.	NeurIPS	2022	DBLP BibTeX RDF
12	Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant 0001	Minimax Regret for Cascading Bandits.	NeurIPS	2022	DBLP BibTeX RDF
12	Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang	What is a Good Metric to Study Generalization of Minimax Learners?	NeurIPS	2022	DBLP BibTeX RDF
12	Zichu Liu, Lacra Pavel	Recursive Reasoning in Minimax Games: A Level $k$ Gradient Play Method.	NeurIPS	2022	DBLP BibTeX RDF
12	Luo Luo, Yujun Li, Cheng Chen	Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization.	NeurIPS	2022	DBLP BibTeX RDF
12	Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi	Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems.	NeurIPS	2022	DBLP BibTeX RDF
12	Aniket Das, Bernhard Schölkopf, Michael Muehlebach	Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization.	NeurIPS	2022	DBLP BibTeX RDF
12	Junchi Yang, Xiang Li, Niao He	Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization.	NeurIPS	2022	DBLP BibTeX RDF
12	Liang Zhang, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He	Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization.	NeurIPS	2022	DBLP BibTeX RDF
12	Lesi Chen, Boyuan Yao, Luo Luo	Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition.	NeurIPS	2022	DBLP BibTeX RDF
12	Omar Montasser, Steve Hanneke, Nati Srebro	Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization.	NeurIPS	2022	DBLP BibTeX RDF
12	Junpei Komiyama, Taira Tsuchiya, Junya Honda	Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification.	NeurIPS	2022	DBLP BibTeX RDF
12	Gil Kur, Eli Putterman	An Efficient Minimax Optimal Estimator For Multivariate Convex Regression.	COLT	2022	DBLP BibTeX RDF
12	Julian Zimmert, Tor Lattimore	Return of the bias: Almost minimax optimal high probability bounds for adversarial linear bandits.	COLT	2022	DBLP BibTeX RDF
12	Tor Lattimore	Minimax Regret for Partial Monitoring: Infinite Outcomes and Rustichini's Regret.	COLT	2022	DBLP BibTeX RDF
12	Alekh Agarwal, Tong Zhang 0001	Minimax Regret Optimization for Robust Machine Learning under Distribution Shift.	COLT	2022	DBLP BibTeX RDF
12	Jennifer Tang	Minimax Regret on Patterns Using Kullback-Leibler Divergence Covering.	COLT	2022	DBLP BibTeX RDF
12	Yujia Jin, Aaron Sidford, Kevin Tian	Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods.	COLT	2022	DBLP BibTeX RDF
12	Yukiko Takahashi, Sawa Takamuku, Keisuke Imoto, Naotake Natori	Semi-Supervised Domain Adaptation for Acoustic Scene Classification by Minimax Entropy and Self-Supervision Approaches.	IWAENC	2022	DBLP DOI BibTeX RDF
12	Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani	Memory-Efficient Minimax Distance Measures.	PAKDD (1)	2022	DBLP DOI BibTeX RDF
12	Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues	Minimax Demographic Group Fairness in Federated Learning.	FAccT	2022	DBLP DOI BibTeX RDF
12	Tanner Fiez, Chi Jin 0001, Praneeth Netrapalli, Lillian J. Ratliff	Minimax Optimization with Smooth Algorithmic Adversaries.	ICLR	2022	DBLP BibTeX RDF
12	Yiping Lu 0001, Haoxuan Chen, Jianfeng Lu 0001, Lexing Ying, Jose H. Blanchet	Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality.	ICLR	2022	DBLP BibTeX RDF
12	Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher	Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems.	ICLR	2022	DBLP BibTeX RDF
12	Shaojie Li, Yong Liu 0018	High Probability Generalization Bounds with Fast Rates for Minimax Problems.	ICLR	2022	DBLP BibTeX RDF
12	Sitan Chen, Jerry Li 0001, Yuanzhi Li, Raghu Meka	Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs.	ICLR	2022	DBLP BibTeX RDF
12	Ximei Wang, Xinyang Chen, Jianmin Wang 0001, Mingsheng Long	X-model: Improving Data Efficiency in Deep Learning with A Minimax Model.	ICLR	2022	DBLP BibTeX RDF
12	Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak	FedNest: Federated Bilevel, Minimax, and Compositional Optimization.	ICML	2022	DBLP BibTeX RDF
12	Sujay Bhatt, Guanhua Fang, Ping Li 0001, Gennady Samorodnitsky	Minimax M-estimation under Adversarial Contamination.	ICML	2022	DBLP BibTeX RDF
12	Xiaohong Chen, Zhengling Qi	On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation.	ICML	2022	DBLP BibTeX RDF
12	Pihe Hu, Yu Chen, Longbo Huang	Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation.	ICML	2022	DBLP BibTeX RDF
12	Chengchun Shi, Masatoshi Uehara, Jiawei Huang, Nan Jiang 0008	A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes.	ICML	2022	DBLP BibTeX RDF
12	Verónica Álvarez, Santiago Mazuelas, José Antonio Lozano 0001	Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees.	ICML	2022	DBLP BibTeX RDF
12	Pranay Sharma, Rohan Panda, Gauri Joshi, Pramod K. Varshney	Federated Minimax Optimization: Improved Convergence Analyses and Algorithms.	ICML	2022	DBLP BibTeX RDF
12	Claudio Gentile, Zhilei Wang, Tong Zhang 0001	Achieving Minimax Rates in Pool-Based Batch Active Learning.	ICML	2022	DBLP BibTeX RDF
12	Han Zhong 0001, Wei Xiong 0015, Jiyuan Tan, Liwei Wang 0001, Tong Zhang 0001, Zhaoran Wang 0001, Zhuoran Yang	Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets.	ICML	2022	DBLP BibTeX RDF
12	Chinmay Sonar, Subhash Suri, Jie Xue 0003	Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean Space.	IJCAI	2022	DBLP DOI BibTeX RDF
12	Xuhui Zhang, José H. Blanchet, Soumyadip Ghosh, Mark S. Squillante	A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality.	AISTATS	2022	DBLP BibTeX RDF
12	Yue Wu, Dongruo Zhou, Quanquan Gu	Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation.	AISTATS	2022	DBLP BibTeX RDF
12	Junchi Yang, Antonio Orvieto, Aurélien Lucchi, Niao He	Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity.	AISTATS	2022	DBLP BibTeX RDF
12	AmirEmad Ghassami, Andrew Ying, Ilya Shpitser, Eric Tchetgen Tchetgen	Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference.	AISTATS	2022	DBLP BibTeX RDF
12	Yue Xing 0002, Qifan Song, Guang Cheng 0003	Unlabeled Data Help: Minimax Analysis and Adversarial Robustness.	AISTATS	2022	DBLP BibTeX RDF
12	Arman Adibi, Aryan Mokhtari, Hamed Hassani	Minimax Optimization: The Case of Convex-Submodular.	AISTATS	2022	DBLP BibTeX RDF
12	Kiran Koshy Thekumparampil, Niao He, Sewoong Oh	Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization.	AISTATS	2022	DBLP BibTeX RDF
12	Guodong Zhang, Yuanhao Wang 0001, Laurent Lessard, Roger B. Grosse	Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization.	AISTATS	2022	DBLP BibTeX RDF
12	Taisei Taguchi, Ryosuke Adachi, Yuji Wakasa	Resource Allocation for Epidemic Spreading Processes Based on Minimax Strategy.	GCCE	2022	DBLP DOI BibTeX RDF
12	Tatsuya Koyakumaru, Masahiro Yukawa	Efficient Robust Graph Learning Based on Minimax Concave Penalty and $\gamma$-Cross Entropy.	EUSIPCO	2022	DBLP BibTeX RDF
12	Kei Komuro, Masahiro Yukawa, Renato L. G. Cavalcante	Distributed Sparse Optimization Based on Minimax Concave and Consensus Promoting Penalties: Towards Global Optimality.	EUSIPCO	2022	DBLP BibTeX RDF
12	Natalia Martínez	Minimax Fairness in Machine Learning.		2022	RDF
12	Lai Wei 0002, Vaibhav Srivastava	Minimax Policy for Heavy-Tailed Bandits.	IEEE Control. Syst. Lett.	2021	DBLP DOI BibTeX RDF
12	Nathan Kallus, Angela Zhou	Minimax-Optimal Policy Learning Under Unobserved Confounding.	Manag. Sci.	2021	DBLP DOI BibTeX RDF
12	Ming Huang, Jinlong Yuan, Sida Lin, Xijun Liang, Chongyang Liu	On Solving the Convex Semi-Infinite Minimax Problems via Superlinear 풱풰 Incremental Bundle Technique with Partial Inexact Oracle.	Asia Pac. J. Oper. Res.	2021	DBLP DOI BibTeX RDF
12	Tadeusz Antczak, Najeeb Abdulaleem	E -differentiable minimax programming under E -convexity.	Ann. Oper. Res.	2021	DBLP DOI BibTeX RDF
12	Volkan Soner Özsoy, Mediha Örkcü, H. Hasan Örkcü	A minimax approach for selecting the overall and stage-level most efficient unit in two stage production processes.	Ann. Oper. Res.	2021	DBLP DOI BibTeX RDF
12	T. Tony Cai, Hongzhe Li, Rong Ma	Optimal Structured Principal Subspace Estimation: Metric Entropy and Minimax Rates.	J. Mach. Learn. Res.	2021	DBLP BibTeX RDF
12	Meiling Hao, Lianqiang Qu, Dehan Kong, Liuquan Sun, Hongtu Zhu	Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model.	J. Mach. Learn. Res.	2021	DBLP BibTeX RDF
12	Handing Wang, Liang Feng 0001, Yaochu Jin, John Doherty	Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios.	IEEE Comput. Intell. Mag.	2021	DBLP DOI BibTeX RDF
12	Santiago Videgaín, Pablo García-Sánchez	Performance Study of Minimax and Reinforcement Learning Agents Playing the Turn-based Game Iwoki.	Appl. Artif. Intell.	2021	DBLP DOI BibTeX RDF
12	Jungho Park, Hadi El-Amine, Nevin Mutlu	An Exact Algorithm for Large-Scale Continuous Nonlinear Resource Allocation Problems with Minimax Regret Objectives.	INFORMS J. Comput.	2021	DBLP DOI BibTeX RDF
12	Weiwei Pan, Jingjing Shen, Zi Xu	An efficient algorithm for nonconvex-linear minimax optimization problem and its application in solving weighted maximin dispersion problem.	Comput. Optim. Appl.	2021	DBLP DOI BibTeX RDF
12	He Jiang 0003, Weihua Zheng, Yao Dong 0002	Sparse and robust estimation with ridge minimax concave penalty.	Inf. Sci.	2021	DBLP DOI BibTeX RDF
12	Yi Xu, Jinju Shao, Song Gao, Yingchao Zhou	Emergency Autonomous Steering Control Research Based on Receding Horizon H∞ Control and Minimax Criteria.	IEEE Access	2021	DBLP DOI BibTeX RDF
12	Masayoshi Nakamoto, Naoyuki Aikawa	Minimax Design of Sparse IIR Filters Using Sparse Linear Programming.	IEICE Trans. Fundam. Electron. Commun. Comput. Sci.	2021	DBLP DOI BibTeX RDF
12	Giuseppe Marra	Bridging symbolic and subsymbolic reasoning with minimax entropy models.	Intelligenza Artificiale	2021	DBLP DOI BibTeX RDF
12	Yulan Wang, Zhixia Yang, Xiaomei Yang	Kernel-Free Quadratic Surface Minimax Probability Machine for a Binary Classification Problem.	Symmetry	2021	DBLP DOI BibTeX RDF
12	Donal O'Regan	Coincidence Theory in the Coercive Case and Minimax Inequalities.	Symmetry	2021	DBLP DOI BibTeX RDF
12	Pascal Heid, Thomas P. Wihler	Adaptive Local Minimax Galerkin Methods for Variational Problems.	SIAM J. Sci. Comput.	2021	DBLP DOI BibTeX RDF
12	Dorota Bors	Optimal control of systems governed by fractional Laplacian in the minimax framework.	Int. J. Control	2021	DBLP DOI BibTeX RDF
12	Sanjiban Sekhar Roy, Pijush Samui	Predicting longitudinal dispersion coefficient in natural streams using minimax probability machine regression and multivariate adaptive regression spline.	Int. J. Adv. Intell. Paradigms	2021	DBLP DOI BibTeX RDF
12	Chien-Cheng Tseng, Su-Ling Lee	Minimax Design of Graph Filter Using Chebyshev Polynomial Approximation.	IEEE Trans. Circuits Syst. II Express Briefs	2021	DBLP DOI BibTeX RDF
12	Timothy L. Molloy	Misspecified and Asymptotically Minimax Robust Quickest Change Diagnosis.	IEEE Trans. Autom. Control.	2021	DBLP DOI BibTeX RDF
12	Lucia Minah Yang, Ian G. Grooms, Keith A. Julien	Corrigendum to "The fidelity of exponential and IMEX integrators for wave turbulence: Introduction of a new near-minimax integrating factor scheme" [J. Comput. Phys. 434 (2021) 109992].	J. Comput. Phys.	2021	DBLP DOI BibTeX RDF
12	Lucia Minah Yang, Ian G. Grooms, Keith A. Julien	The fidelity of exponential and IMEX integrators for wave turbulence: Introduction of a new near-minimax integrating factor scheme.	J. Comput. Phys.	2021	DBLP DOI BibTeX RDF
12	Arezu Zare, Ali Ashrafi, Yong Xia 0002	Quadratic double-ratio minimax optimization.	Oper. Res. Lett.	2021	DBLP DOI BibTeX RDF
12	Henry Lam, Haidong Li, Xuhui Zhang	Minimax efficient finite-difference stochastic gradient estimators using black-box function evaluations.	Oper. Res. Lett.	2021	DBLP DOI BibTeX RDF
12	Gökhan Gül	Minimax Robust Decentralized Hypothesis Testing for Parallel Sensor Networks.	IEEE Trans. Inf. Theory	2021	DBLP DOI BibTeX RDF