NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

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Machine Learning

2022 · 2,671 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

2022 · NeurIPS
Subsidiary Prototype Alignment for Universal Domain Adaptation
Jogendra Nath Kundu, Suvaansh Bhambri, Akshay R Kulkarni, Hiran Sarkar, Varun Jampani, Venkatesh Babu R
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Subspace Recovery from Heterogeneous Data with Non-isotropic Noise
John C. Duchi, Vitaly Feldman, Lunjia Hu, Kunal Talwar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
Luca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Supervised Training of Conditional Monge Maps
Charlotte Bunne, Andreas Krause, Marco Cuturi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Supervising the Multi-Fidelity Race of Hyperparameter Configurations
Martin Wistuba, Arlind Kadra, Josif Grabocka
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Support Recovery in Sparse PCA with Incomplete Data
Hanbyul Lee, Qifan Song, Jean Honorio
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Supported Policy Optimization for Offline Reinforcement Learning
Jialong Wu, Haixu Wu, Zihan Qiu, Jianmin Wang, Mingsheng Long
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Surprise Minimizing Multi-Agent Learning with Energy-based Models
Karush Suri, Xiao Qi Shi, Konstantinos N Plataniotis, Yuri Lawryshyn
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis
Yuxin Sun, DONG LAO, Ganesh Sundaramoorthi, Anthony Yezzi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Sustainable Online Reinforcement Learning for Auto-bidding
Zhiyu Mou, Yusen Huo, Rongquan Bai, Mingzhou Xie, Chuan Yu, Jian Xu, Bo Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
SwinTrack: A Simple and Strong Baseline for Transformer Tracking
Liting Lin, Heng Fan, Zhipeng Zhang, Yong Xu, Haibin Ling
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization
Minsu Kim, Junyoung Park, Jinkyoo Park
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Symbolic Distillation for Learned TCP Congestion Control
S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Symmetry Teleportation for Accelerated Optimization
Bo Zhao, Nima Dehmamy, Robin Walters, Rose Yu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Symmetry-induced Disentanglement on Graphs
Giangiacomo Mercatali, Andre Freitas, Vikas Garg
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
Yusuke Tanaka, Tomoharu Iwata, naonori ueda
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms
QIN DING, Yue Kang, Yi-Wei Liu, Thomas Chun Man Lee, Cho-Jui Hsieh, James Sharpnack
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness
Sen Cui, Jingfeng ZHANG, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang
Machine Learning
日本大学: 東京大学
2022 · NeurIPS
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning
Alex Chan, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Systematic improvement of neural network quantum states using Lanczos
Hongwei Chen, Douglas Hendry, Phillip Weinberg, Adrian Feiguin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TA-GATES: An Encoding Scheme for Neural Network Architectures
Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training
Chang Chen, Min Li, Zhihua Wu, Dianhai Yu, Chao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction
Wei Lu, Qifeng Wu, Jixian Zhang, Jiahua Rao, Chengtao Li, Shuangjia Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
Yaodong Yu, Alexander Wei, Sai Praneeth Karimireddy, Yi Ma, Michael I. Jordan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation
Pengfei Li, Beiwen Tian, Yongliang Shi, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Ya-Qin Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s
Felix Chern, Blake Hechtman, Andy Davis, Ruiqi Guo, David Majnemer, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TREC: Transient Redundancy Elimination-based Convolution
Jiawei Guan, Feng Zhang, Jiesong Liu, Hsin-Hsuan Sung, Ruofan Wu, Xiaoyong Du, Xipeng Shen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S CICHOCKI, Ivan Oseledets
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TUSK: Task-Agnostic Unsupervised Keypoints
Yuhe Jin, Weiwei Sun, Jan Hosang, Eduard Trulls, Kwang Moo Yi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TVLT: Textless Vision-Language Transformer
Zineng Tang, Jaemin Cho, Yixin Nie, Mohit Bansal
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TaSIL: Taylor Series Imitation Learning
Daniel Pfrommer, Thomas Zhang, Stephen Tu, Nikolai Matni
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets
Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V Le, Da Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning
Haibo Yang, Peiwen Qiu, Jia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification
Mingdong Wu, Fangwei Zhong, Yulong Xia, Hao Dong
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Target alignment in truncated kernel ridge regression
Arash Amini, Richard Baumgartner, Dai Feng
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Task Discovery: Finding the Tasks that Neural Networks Generalize on
Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Task-Agnostic Graph Explanations
Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye, Adrian G. Bors
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Task-level Differentially Private Meta Learning
Xinyu Zhou, Raef Bassily
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation
Yichen Zhu, Ning Liu, Zhiyuan Xu, Xin Liu, Weibin Meng, Louis Wang, Zhicai Ou, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Teacher Forcing Recovers Reward Functions for Text Generation
Yongchang Hao, Yuxin Liu, Lili Mou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Template based Graph Neural Network with Optimal Transport Distances
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction
Muralidhar Andoorveedu, Zhanda Zhu, Bojian Zheng, Gennady Pekhimenko
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Temporal Effective Batch Normalization in Spiking Neural Networks
Chaoteng Duan, Jianhao Ding, Shiyan Chen, Zhaofei Yu, Tiejun Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning
Aniket Didolkar, Kshitij Gupta, Anirudh Goyal, Nitesh Bharadwaj Gundavarapu, Alex M Lamb, Nan Rosemary Ke, Yoshua Bengio
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Temporally Disentangled Representation Learning
Weiran Yao, Guangyi Chen, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Temporally-Consistent Survival Analysis
Lucas Maystre, Daniel Russo
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Tensor Program Optimization with Probabilistic Programs
Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Tensor Wheel Decomposition and Its Tensor Completion Application
Zhong-Cheng Wu, Ting-Zhu Huang, Liang-Jian Deng, Hong-Xia Dou, Deyu Meng
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Test Time Adaptation via Conjugate Pseudo-labels
Sachin Goyal, Mingjie Sun, Aditi Raghunathan, J. Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Test-Time Training with Masked Autoencoders
Yossi Gandelsman, Yu Sun, Xinlei Chen, Alexei Efros
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Text Classification with Born's Rule
Emanuele Guidotti, Alfio Ferrara
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval
Chengzhi Lin, Ancong Wu, Junwei Liang, Jun Zhang, Wenhang Ge, Wei-Shi Zheng, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound
Liam O'Carroll, Vaidehi Srinivas, Aravindan Vijayaraghavan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Curse of Unrolling: Rate of Differentiating Through Optimization
Damien Scieur, Gauthier Gidel, Quentin Bertrand, Fabian Pedregosa
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Effects of Regularization and Data Augmentation are Class Dependent
Randall Balestriero, Leon Bottou, Yann LeCun
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization
Dmitry Kovalev, Alexander Gasnikov
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization
Dmitry Kovalev, Alexander Gasnikov
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics
Afonso S Bandeira, Ahmed El Alaoui, Samuel Hopkins, Tselil Schramm, Alexander S Wein, Ilias Zadik
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Gyro-Structure of Some Matrix Manifolds
Xuan Son Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Hessian Screening Rule
Johan Larsson, Jonas Wallin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning
Vindula Jayawardana, Catherine Tang, Sirui Li, Dajiang Suo, Cathy Wu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Implicit Delta Method
Nathan Kallus, James McInerney
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen, Yuanzhi Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Missing Invariance Principle found -- the Reciprocal Twin of Invariant Risk Minimization
Dongsung Huh, Avinash Baidya
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning
Yunhao Tang, Remi Munos, Mark Rowland, Bernardo Avila Pires, Will Dabney, Marc Bellemare
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization
Mufan Li, Mihai Nica, Dan Roy
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Neural Testbed: Evaluating Joint Predictions
Ian Osband, Zheng Wen, Seyed Mohammad Asghari, Vikranth Dwaracherla, Xiuyuan Lu, MORTEZA IBRAHIMI, Dieterich Lawson, Botao Hao, Brendan O'Donoghue, Benjamin Van Roy
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Phenomenon of Policy Churn
Tom Schaul, Andre Barreto, John Quan, Georg Ostrovski
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Pitfalls of Regularization in Off-Policy TD Learning
Gaurav Manek, J. Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design
Ruoyu Cheng, Xianglong Lyu, Yang Li, Junjie Ye, Jianye Hao, Junchi Yan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift
Jingfeng Wu, Difan Zou, Vladimir Braverman, Quanquan Gu, Sham Kakade
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Privacy Onion Effect: Memorization is Relative
Nicholas Carlini, Matthew Jagielski, Chiyuan Zhang, Nicolas Papernot, Andreas Terzis, Florian Tramer
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Query Complexity of Cake Cutting
Simina Branzei, Noam Nisan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Role of Baselines in Policy Gradient Optimization
Jincheng Mei, Wesley Chung, Valentin Thomas, Bo Dai, Csaba Szepesvari, Dale Schuurmans
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Sample Complexity of One-Hidden-Layer Neural Networks
Gal Vardi, Ohad Shamir, Nati Srebro
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
Conglong Li, Minjia Zhang, Yuxiong He
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
Peter Kocsis, Peter Súkeník, Guillem Braso, Matthias Niessner, Laura Leal-Taixé, Ismail Elezi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning
Xi Ye, Greg Durrett
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The alignment property of SGD noise and how it helps select flat minima: A stability analysis
Lei Wu, Mingze Wang, Weijie Su
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The computational and learning benefits of Daleian neural networks
Adam Haber, Elad Schneidman
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The least-control principle for local learning at equilibrium
Alexander Meulemans, Nicolas Zucchet, Seijin Kobayashi, Johannes von Oswald, João Sacramento
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
Jean Barbier, TianQi Hou, Marco Mondelli, Manuel Saenz
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The price of unfairness in linear bandits with biased feedback
Solenne Gaucher, Alexandra Carpentier, Christophe Giraud
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model
Aditya Desai, Anshumali Shrivastava
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Theoretical analysis of deep neural networks for temporally dependent observations
Mingliang Ma, Abolfazl Safikhani
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques
Bokun Wang, Mher Safaryan, Peter Richtarik
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Theoretically Provable Spiking Neural Networks
Shao-Qun Zhang, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources
Peter Lippmann, Enrique Fita Sanmartín, Fred A. Hamprecht
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Theseus: A Library for Differentiable Nonlinear Optimization
Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel DeTone, Austin Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization
Idan Amir, Roi Livni, Nati Srebro
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Thinned random measures for sparse graphs with overlapping communities
Federica Zoe Ricci, Michele Guindani, Erik B. Sudderth
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Thompson Sampling Efficiently Learns to Control Diffusion Processes
Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh, Mohsen Bayati
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers
Albert Qiaochu Jiang, Wenda Li, Szymon Tworkowski, Konrad Czechowski, Tomasz Odrzygóźdź, Piotr Miłoś, Yuhuai Wu, Mateja Jamnik
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret
Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems
Pouria Mahdavinia, Yuyang Deng, Haochuan Li, Mehrdad Mahdavi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
Alessio Mazzetto, Cristina Menghini, Andrew Yuan, Eli Upfal, Stephen Bach
Machine Learning
日本大学: 関与なし（対象大学）