| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 12 | Kei Komuro, Masahiro Yukawa, Renato L. G. Cavalcante |
Distributed Sparse Optimization With Minimax Concave Regularization.  |
SSP  |
2021 |
DBLP DOI BibTeX RDF |
|
| 12 | Jeffrey Negrea, Blair L. Bilodeau, Nicolò Campolongo, Francesco Orabona, Daniel M. Roy 0001 |
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Sucheol Lee, Donghwan Kim |
Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Alon Cohen, Yonathan Efroni, Yishay Mansour, Aviv Rosenberg 0002 |
Minimax Regret for Stochastic Shortest Path. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Jiafan He, Dongruo Zhou, Quanquan Gu |
Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Feihu Huang, Xidong Wu, Heng Huang |
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Jean Tarbouriech, Runlong Zhou, Simon S. Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric |
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Shubhanshu Shekhar, Greg Fields, Mohammad Ghavamzadeh, Tara Javidi |
Adaptive Sampling for Minimax Fair Classification. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Wenhan Xian, Feihu Huang, Yanfu Zhang, Heng Huang |
A Faster Decentralized Algorithm for Nonconvex Minimax Problems. |
NeurIPS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Dongruo Zhou, Quanquan Gu, Csaba Szepesvári |
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes. |
COLT |
2021 |
DBLP BibTeX RDF |
|
| 12 | Liyu Chen, Haipeng Luo, Chen-Yu Wei |
Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition. |
COLT |
2021 |
DBLP BibTeX RDF |
|
| 12 | Steve Hanneke, Roi Livni, Shay Moran |
Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games. |
COLT |
2021 |
DBLP BibTeX RDF |
|
| 12 | Alexander Korotin, Lingxiao Li, Justin Solomon 0001, Evgeny Burnaev |
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. |
ICLR |
2021 |
DBLP BibTeX RDF |
|
| 12 | Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu 0003, Wotao Yin, Zhangyang Wang |
Learning A Minimax Optimizer: A Pilot Study. |
ICLR |
2021 |
DBLP BibTeX RDF |
|
| 12 | Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth 0001 |
Minimax Group Fairness: Algorithms and Experiments. |
AIES |
2021 |
DBLP DOI BibTeX RDF |
|
| 12 | Anders Rantzer |
Minimax Adaptive Control for a Finite Set of Linear Systems. |
L4DC |
2021 |
DBLP BibTeX RDF |
|
| 12 | Farzan Farnia, Asuman E. Ozdaglar |
Train simultaneously, generalize better: Stability of gradient-based minimax learners. |
ICML |
2021 |
DBLP BibTeX RDF |
|
| 12 | Yunwen Lei, Zhenhuan Yang, Tianbao Yang, Yiming Ying |
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems. |
ICML |
2021 |
DBLP BibTeX RDF |
|
| 12 | Chung-Wei Lee, Haipeng Luo, Chen-Yu Wei, Mengxiao Zhang, Xiaojin Zhang 0002 |
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously. |
ICML |
2021 |
DBLP BibTeX RDF |
|
| 12 | Tianyuan Jin, Pan Xu 0002, Jieming Shi, Xiaokui Xiao, Quanquan Gu |
MOTS: Minimax Optimal Thompson Sampling. |
ICML |
2021 |
DBLP BibTeX RDF |
|
| 12 | Taeho Yoon, Ernest K. Ryu |
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm. |
ICML |
2021 |
DBLP BibTeX RDF |
|
| 12 | Theo Diamandis, Yonina C. Eldar, Alireza Fallah 0001, Farzan Farnia, Asuman E. Ozdaglar |
A Wasserstein Minimax Framework for Mixed Linear Regression. |
ICML |
2021 |
DBLP BibTeX RDF |
|
| 12 | Marc Abeille, Louis Faury, Clément Calauzènes |
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits. |
AISTATS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Cameron Voloshin, Nan Jiang 0008, Yisong Yue |
Minimax Model Learning. |
AISTATS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Jeongyeol Kwon, Nhat Ho, Constantine Caramanis |
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression. |
AISTATS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Alden Green, Sivaraman Balakrishnan, Ryan J. Tibshirani |
Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs. |
AISTATS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Guodong Zhang, Yuanhao Wang 0001 |
On the Suboptimality of Negative Momentum for Minimax Optimization. |
AISTATS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Gauthier Gidel, David Balduzzi, Wojciech Czarnecki 0001, Marta Garnelo, Yoram Bachrach |
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. |
AISTATS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Jiaxi Ying, José Vinícius de Miranda Cardoso, Daniel P. Palomar |
Minimax Estimation of Laplacian Constrained Precision Matrices. |
AISTATS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Federico Toffano, Paolo Viappiani, Nic Wilson |
Efficient Exact Computation of Setwise Minimax Regret for Interactive Preference Elicitation. (PDF / PS) |
AAMAS |
2021 |
DBLP BibTeX RDF |
|
| 12 | Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi 0001 |
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. |
ACL/IJCNLP (Findings) |
2021 |
DBLP DOI BibTeX RDF |
|
| 12 | Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy, Anders Søgaard |
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages. |
ACL/IJCNLP (Findings) |
2021 |
DBLP DOI BibTeX RDF |
|
| 12 | Xujin Chen, Guoli Ding, Wenan Zang, Qiulan Zhao |
Ranking tournaments with no errors II: Minimax relation. |
J. Comb. Theory, Ser. B |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Guanrong Li, Jianjun Qiu, Xiaopeng Yang |
Weighted minimax programming subject to the two-sides fuzzy relation inequalities with max-product composition. |
J. Intell. Fuzzy Syst. |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Yanan Shao, Zhen Jane Wang 0001, Brian Wodlinger, Septimiu E. Salcudean |
Improving Prostate Cancer (PCa) Classification Performance by Using Three-Player Minimax Game to Reduce Data Source Heterogeneity. |
IEEE Trans. Medical Imaging |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Xin Xing, Meimei Liu, Ping Ma, Wenxuan Zhong |
Minimax Nonparametric Parallelism Test. |
J. Mach. Learn. Res. |
2020 |
DBLP BibTeX RDF |
|
| 12 | Steven Le Moan, Claude Cariou |
Minimax Bridgeness-Based Clustering for Hyperspectral Data. |
Remote. Sens. |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Anurag Jayswal, Preeti |
An exact minimax penalty function approach to solve multitime variational problems. |
RAIRO Oper. Res. |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | James B. Martin, Roman Stasinski |
Minimax functions on Galton-Watson trees. |
Comb. Probab. Comput. |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Jan Eliás, Miroslav Vorechovský, Václav Sadílek |
Periodic version of the minimax distance criterion for Monte Carlo integration. |
Adv. Eng. Softw. |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Jun Mao, Hui Yi, Chao Gao, Renyou Zhang, Feng Jiang |
A New Minimax Optimization Design of H∞ LQ Fault-Tolerant Tracking Control for Multi-Phase Batch Processes. |
IEEE Access |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Qingyu Su, Heda Wang, Fei Dong, Jian Li 0026 |
Valve Controller Design of Multi-Machine Power Systems Based on Adaptive Hamilton Minimax Method. |
IEEE Access |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Andie Setiyoko, Tjan Basaruddin, Aniati Murni Arymurthy |
Minimax Approach for Semivariogram Fitting in Ordinary Kriging. |
IEEE Access |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Marzieh Khakifirooz, Chen Fu Chien 0001, Mahdi Fathi 0001, Panos M. Pardalos |
Minimax Optimization for Recipe Management in High-Mixed Semiconductor Lithography Process. |
IEEE Trans. Ind. Informatics |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Kaixun He, Maiying Zhong, Jingzhong Fang, Yiran Li |
Biased Minimax Probability Machine-Based Adaptive Regression for Online Analysis of Gasoline Property. |
IEEE Trans. Ind. Informatics |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Afief D. Pambudi, Michael Fauß, Fauzia Ahmad, Abdelhak M. Zoubir |
Minimax Robust Landmine Detection Using Forward-Looking Ground-Penetrating Radar. |
IEEE Trans. Geosci. Remote. Sens. |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Yuji Nakatsukasa, Lloyd N. Trefethen |
An Algorithm for Real and Complex Rational Minimax Approximation. |
SIAM J. Sci. Comput. |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Jaechan Lim, Hun-Seok Kim, Hyung-Min Park |
Interactive-Multiple-Model Algorithm Based on Minimax Particle Filtering. |
IEEE Signal Process. Lett. |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Andrei Pavlov, Iman Shames, Chris Manzie |
Minimax strategy in approximate model predictive control. |
Autom. |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Lucian Busoniu, Jihene Ben Rejeb, Ioana Lal, Irinel-Constantin Morarescu, Jamal Daafouz |
Optimistic minimax search for noncooperative switched control with or without dwell time. |
Autom. |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Kei Takada, Hiroyuki Iizuka, Masahito Yamamoto |
Reinforcement Learning to Create Value and Policy Functions Using Minimax Tree Search in Hex. |
IEEE Trans. Games |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Morteza Haghir Chehreghani |
Unsupervised representation learning with Minimax distance measures. |
Mach. Learn. |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Yanjun Han, Jiantao Jiao, Tsachy Weissman |
Minimax Estimation of Divergences Between Discrete Distributions. |
IEEE J. Sel. Areas Inf. Theory |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Juan-Antonio Martínez-García, José-Luis Sancho-Gómez, Adrián Sánchez-Morales, Aníbal R. Figueiras-Vidal |
Designing non-linear minimax and related discriminants by disjoint tangent configurations applied to RBF networks. |
Neurocomputing |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Guanqun Ni, Xin Feng 0001, Lei Chen |
Hotel room allocation with multiple sales channels: a perspective of minimax regret. |
J. Control. Decis. |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Puning Zhao, Lifeng Lai |
Minimax Optimal Estimation of KL Divergence for Continuous Distributions. |
IEEE Trans. Inf. Theory |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Cheuk Ting Li, Xiugang Wu, Ayfer Özgür, Abbas El Gamal |
Minimax Learning for Distributed Inference. |
IEEE Trans. Inf. Theory |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Sharu Theresa Jose, Ankur A. Kulkarni |
Shannon Meets von Neumann: A Minimax Theorem for Channel Coding in the Presence of a Jammer. |
IEEE Trans. Inf. Theory |
2020 |
DBLP DOI BibTeX RDF |
|
| 12 | Jeongyeol Kwon, Nhat Ho, Constantine Caramanis |
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Seyed Mohammadreza Mousavi Kalan, Zalan Fabian, Amir Salman Avestimehr, Mahdi Soltanolkotabi |
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Dehao Liu, Yan Wang 0029 |
A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Pascal Heid, Thomas P. Wihler |
Adaptive local minimax Galerkin methods for variational problems. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab S. Mirrokni |
The Landscape of Nonconvex-Nonconcave Minimax Optimization. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Dongruo Zhou, Quanquan Gu, Csaba Szepesvári |
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Blerta Lindqvist, Rauf Izmailov |
Minimax Defense against Gradient-based Adversarial Attacks. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Jiafan He, Dongruo Zhou, Quanquan Gu |
Minimax Optimal Reinforcement Learning for Discounted MDPs. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Puning Zhao, Lifeng Lai |
Minimax Optimal Estimation of KL Divergence for Continuous Distributions. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Zhongruo Wang, Krishnakumar Balasubramanian 0002, Shiqian Ma, Meisam Razaviyayn |
Zeroth-Order Algorithms for Nonconvex Minimax Problems with Improved Complexities. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Lai Wei 0002, Vaibhav Srivastava |
Minimax Policy for Heavy-tailed Multi-armed Bandits. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Giuseppe Genovese |
Minimax formula for the replica symmetric free energy of deep restricted Boltzmann machines. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | T. Tony Cai, Yichen Wang 0005, Linjun Zhang |
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Tianyuan Jin, Pan Xu 0002, Jieming Shi, Xiaokui Xiao, Quanquan Gu |
MOTS: Minimax Optimal Thompson Sampling. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Quentin Cohen-Solal, Tristan Cazenave |
Minimax Strikes Back. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Farzan Farnia, Asuman E. Ozdaglar |
Train simultaneously, generalize better: Stability of gradient-based minimax learners. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Zihan Zhang, Simon S. Du, Xiangyang Ji |
Nearly Minimax Optimal Reward-free Reinforcement Learning. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Tianyi Lin, Chi Jin 0001, Michael I. Jordan |
Near-Optimal Algorithms for Minimax Optimization. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Natalia Martínez, Martín Bertrán, Guillermo Sapiro |
Minimax Pareto Fairness: A Multi Objective Perspective. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani |
Memory-Efficient Sampling for Minimax Distance Measures. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Islam M. Tanash, Taneli Riihonen |
Global Minimax Approximations and Bounds for the Gaussian Q-Function by Sums of Exponentials. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Yangang Ren, Jingliang Duan, Yang Guan, Shengbo Eben Li |
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Kartik Gupta, Arun Sai Suggala, Adarsh Prasad, Praneeth Netrapalli, Pradeep Ravikumar |
Learning Minimax Estimators via Online Learning. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Yaqi Duan, Mengdi Wang |
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Blair L. Bilodeau, Dylan J. Foster, Daniel M. Roy 0001 |
Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Blair L. Bilodeau, Jeffrey Negrea, Daniel M. Roy 0001 |
Relaxing the I.I.D. Assumption: Adaptive Minimax Optimal Sequential Prediction with Expert Advice. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Junchi Yang, Negar Kiyavash, Niao He |
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Santiago Mazuelas, Andrea Zanoni, Aritz Pérez |
Minimax Classification with 0-1 Loss and Performance Guarantees. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Arun Sai Suggala, Praneeth Netrapalli |
Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Yuxin Chen 0002, Jianqing Fan, Bingyan Wang, Yuling Yan |
Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Omar Darwiche Domingues, Pierre Ménard, Emilie Kaufmann, Michal Valko |
Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Shalev Ben-David, Eric Blais |
A New Minimax Theorem for Randomized Algorithms. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Kush Bhatia, Karthik Sridharan |
Online learning with dynamics: A minimax perspective. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Pablo Montiel López |
A minimax approach for inverse variational inequalities. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Benjamin Grimmer, Haihao Lu, Pratik Worah, Vahab S. Mirrokni |
Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Vincent Divol |
Minimax adaptive estimation in manifold inference. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang |
Accelerated Zeroth-Order Momentum Methods from Mini to Minimax Optimization. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Kihyun Kim, Insoon Yang |
Minimax control of ambiguous linear stochastic systems using the Wasserstein metric. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Luo Luo, Haishan Ye, Tong Zhang 0001 |
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Huimin Zeng, Chen Zhu 0001, Tom Goldstein, Furong Huang |
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Nan Jiang 0008, Jiawei Huang |
Minimax Confidence Interval for Off-Policy Evaluation and Policy Optimization. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
| 12 | Sayna Ebrahimi, William Gan, Kamyar Salahi, Trevor Darrell |
Minimax Active Learning. |
CoRR |
2020 |
DBLP BibTeX RDF |
|
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