NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

NeurIPS 公式サイト ↗

Machine Learning

2021 · 2,334 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。

2021 · NeurIPS
Retiring Adult: New Datasets for Fair Machine Learning
Frances Ding, Moritz Hardt, John P. Miller, Ludwig Schmidt
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes
Jai Moondra, Hassan Mortagy, Swati Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Revealing and Protecting Labels in Distributed Training
Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Revenue maximization via machine learning with noisy data
Ellen Vitercik, Tom Yan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Reverse engineering learned optimizers reveals known and novel mechanisms
Niru Maheswaranathan, David Sussillo, Luke Metz, Ruoxi Sun, Jascha Sohl-Dickstein
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems
Jimmy Smith, Scott Linderman, David Sussillo
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Reverse-Complement Equivariant Networks for DNA Sequences
Vincent Mallet, Jean-Philippe Vert
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning
Milad Abdollahzadeh, Touba Malekzadeh, Ngai-Man (Man) Cheung
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Revisiting 3D Object Detection From an Egocentric Perspective
Boyang Deng, Charles R Qi, Mahyar Najibi, Thomas Funkhouser, Yin Zhou, Dragomir Anguelov
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc V Gool
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Revisiting Deep Learning Models for Tabular Data
Yury Gorishniy, Ivan Rubachev, Valentin Khrulkov, Artem Babenko
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme
Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness
Zifeng Wang, Tong Jian, Aria Masoomi, Stratis Ioannidis, Jennifer Dy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Revisiting Model Stitching to Compare Neural Representations
Yamini Bansal, Preetum Nakkiran, Boaz Barak
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello, William Fedus, Xianzhi Du, Ekin Dogus Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Revisiting Smoothed Online Learning
Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Revisiting the Calibration of Modern Neural Networks
Matthias Minderer, Josip Djolonga, Rob Romijnders, Frances Hubis, Xiaohua Zhai, Neil Houlsby, Dustin Tran, Mario Lucic
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning
Chongjian GE, Youwei Liang, YIBING SONG, Jianbo Jiao, Jue Wang, Ping Luo
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Reward is enough for convex MDPs
Tom Zahavy, Brendan O'Donoghue, Guillaume Desjardins, Satinder P. Singh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation
Weitong ZHANG, Dongruo Zhou, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method
Heyuan Liu, Paul Grigas
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures
Yuan Cao, Quanquan Gu, Mikhail Belkin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning
Aurelien Bibaut, Nathan Kallus, Maria Dimakopoulou, Antoine Chambaz, Mark van der Laan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Risk Monotonicity in Statistical Learning
Zakaria Mhammedi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Risk-Averse Bayes-Adaptive Reinforcement Learning
Marc Rigter, Bruno Lacerda, Nick Hawes
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Risk-Aware Transfer in Reinforcement Learning using Successor Features
Michael Gimelfarb, Andre Barreto, Scott Sanner, Chi-Guhn Lee
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Risk-averse Heteroscedastic Bayesian Optimization
Anastasia Makarova, Ilnura Usmanova, Ilija Bogunovic, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
RoMA: Robust Model Adaptation for Offline Model-based Optimization
Sihyun Yu, Sungsoo Ahn, Le Song, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Allocations with Diversity Constraints
Zeyu Shen, Lodewijk Gelauff, Ashish Goel, Aleksandra Korolova, Kamesh Munagala
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Auction Design in the Auto-bidding World
Santiago Balseiro, Yuan Deng, Jieming Mao, Vahab Mirrokni, Song Zuo
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Compressed Sensing MRI with Deep Generative Priors
Ajil Jalal, Marius Arvinte, Giannis Daras, ecprice, Alexandros G Dimakis, Jon Tamir
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Contrastive Learning Using Negative Samples with Diminished Semantics
Songwei Ge, Shlok Mishra, Chun-Liang Li, Haohan Wang, David Jacobs
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Counterfactual Explanations on Graph Neural Networks
Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Deep Reinforcement Learning through Adversarial Loss
Tuomas Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
Tobias Sutter, Andreas Krause, Daniel Huhn
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Implicit Networks via Non-Euclidean Contractions
Saber Jafarpour, Alexander Davydov, Anton Proskurnikov, Francesco Bullo
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
Luca Viano, Yu-Ting Huang, Parameswaran Kamalaruban, Adrian Weller, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Learning of Optimal Auctions
Wenshuo Guo, Michael I. Jordan, Emmanouil Zampetakis
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Online Correlation Clustering
Silvio Lattanzi, Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang, Rudy Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Optimization for Multilingual Translation with Imbalanced Data
Xian Li, Hongyu Gong
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Pose Estimation in Crowded Scenes with Direct Pose-Level Inference
Dongkai Wang, Shiliang Zhang, Gang Hua
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Predictable Control
Ben Eysenbach, Ruslan Salakhutdinov, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Regression Revisited: Acceleration and Improved Estimation Rates
Arun Jambulapati, Jerry Li, Tselil Schramm, Kevin Tian
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust Visual Reasoning via Language Guided Neural Module Networks
Arjun Akula, Varun Jampani, Soravit Changpinyo, Song-Chun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust and Decomposable Average Precision for Image Retrieval
Elias Ramzi, Nicolas THOME, Clément Rambour, Nicolas Audebert, Xavier Bitot
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems
Zixiu Wang, Yiwen Guo, Hu Ding
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robust and differentially private mean estimation
Xiyang Liu, Weihao Kong, Sham Kakade, Sewoong Oh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robustifying Algorithms of Learning Latent Trees with Vector Variables
Fengzhuo Zhang, Vincent Tan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robustness between the worst and average case
Leslie Rice, Anna Bair, Huan Zhang, J. Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robustness of Graph Neural Networks at Scale
Simon Geisler, Tobias Schmidt, Hakan Şirin, Daniel Zügner, Aleksandar Bojchevski, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Robustness via Uncertainty-aware Cycle Consistency
Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
Tengwei Song, Jie Luo, Lei Huang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Miltiadis Kofinas, Naveen Nagaraja, Efstratios Gavves
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Row-clustering of a Point Process-valued Matrix
Lihao Yin, Ganggang Xu, Huiyan Sang, Yongtao Guan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks
Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing XU, Vahid Partovi Nia
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL
Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-hornung, Daniel Cohen-or
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization
Ziming Zhang, Yun Yue, Guojun Wu, Yanhua Li, Haichong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
Oliver Unke, Mihail Bogojeski, Michael Gastegger, Mario Geiger, Tess Smidt, Klaus-Robert Müller
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
Devendra Singh Chaplot, Murtaza Dalal, Saurabh Gupta, Jitendra Malik, Ruslan Salakhutdinov
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs
Ayush Sekhari, Karthik Sridharan, Satyen Kale
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
Victor Zhong, Austin W. Hanjie, Sida Wang, Karthik Narasimhan, Luke Zettlemoyer
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Suraj Kothawade, Nathan Beck, Krishnateja Killamsetty, Rishabh Iyer
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
Rishabh Kabra, Daniel Zoran, Goker Erdogan, Loic Matthey, Antonia Creswell, Matt Botvinick, Alexander Lerchner, Chris Burgess
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression
Steve Yadlowsky, Taedong Yun, Cory Y McLean, Alexander D'Amour
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SNIPS: Solving Noisy Inverse Problems Stochastically
Bahjat Kawar, Gregory Vaksman, Michael Elad
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation
Abhinav Moudgil, Arjun Majumdar, Harsh Agrawal, Stefan Lee, Dhruv Batra
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SOFT: Softmax-free Transformer with Linear Complexity
Jiachen Lu, Jinghan Yao, Junge Zhang, Xiatian Zhu, Hang Xu, Weiguo Gao, Chunjing XU, Tao Xiang, Li Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SOLQ: Segmenting Objects by Learning Queries
Bin Dong, Fangao Zeng, Tiancai Wang, Xiangyu Zhang, Yichen Wei
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SOPE: Spectrum of Off-Policy Estimators
Christina Yuan, Yash Chandak, Stephen Giguere, Philip S. Thomas, Scott Niekum
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search
Qi Chen, Bing Zhao, Haidong Wang, Mingqin Li, Chuanjie Liu, Zengzhong Li, Mao Yang, Jingdong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
Mattia Atzeni, Jasmina Bogojeska, Andreas Loukas
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Muhammad Akhtar Munir, Muhammad Haris Khan, M. Sarfraz, Mohsen Ali
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SSMF: Shifting Seasonal Matrix Factorization
Koki Kawabata, Siddharth Bhatia, Rui Liu, Mohit Wadhwa, Bryan Hooi
Machine Learning
日本大学: 大阪大学
2021 · NeurIPS
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
Sungmin Cha, beomyoung kim, YoungJoon Yoo, Taesup Moon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
Prashant Khanduri, PRANAY SHARMA, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod Varshney
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data
Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng, Yu-Feng Li, Shiliang Pu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization
Kfir Levy, Ali Kavis, Volkan Cevher
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients
Feihu Huang, Junyi Li, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha, Sanghyuk Chun, Kyungjae Lee, Han-Cheol Cho, Seunghyun Park, Yunsung Lee, Sungrae Park
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Safe Policy Optimization with Local Generalized Linear Function Approximations
Akifumi Wachi, Yunyue Wei, Yanan Sui
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Safe Pontryagin Differentiable Programming
Wanxin Jin, Shaoshuai Mou, George J. Pappas
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Safe Reinforcement Learning by Imagining the Near Future
Garrett Thomas, Yuping Luo, Tengyu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Safe Reinforcement Learning with Natural Language Constraints
Tsung-Yen Yang, Michael Y Hu, Yinlam Chow, Peter J Ramadge, Karthik Narasimhan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries
Jungwuk Park, Dong-Jun Han, Minseok Choi, Jaekyun Moon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Aaron Chan, Jiashu Xu, Boyuan Long, Soumya Sanyal, Tanishq Gupta, Xiang Ren
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons
Wenbo Ren, Jia Liu, Ness Shroff
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond
Maria-Florina F Balcan, Siddharth Prasad, Tuomas Sandholm, Ellen Vitercik
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Sample Selection for Fair and Robust Training
Yuji Roh, Kangwook Lee, Steven Whang, Changho Suh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games
Yu Bai, Chi Jin, Huan Wang, Caiming Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting
Gen Li, Yuxin Chen, Yuejie Chi, Yuantao Gu, Yuting Wei
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
Bingyan Wang, Yuling Yan, Jianqing Fan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Sampling with Trusthworthy Constraints: A Variational Gradient Framework
Xingchao Liu, Xin Tong, Qiang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
Xiaolong Ma, Geng Yuan, Xuan Shen, Tianlong Chen, Xuxi Chen, Xiaohan Chen, Ning Liu, Minghai Qin, Sijia Liu, Zhangyang Wang, Yanzhi Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models
Kristopher Jensen, Ta-Chu Kao, Jasmine Stone, Guillaume Hennequin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Scalable Diverse Model Selection for Accessible Transfer Learning
Daniel Bolya, Rohit Mittapalli, Judy Hoffman
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation
Arno Solin, Ella Tamir, Prakhar Verma
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields
Salar Fattahi, Andres Gomez
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Scalable Intervention Target Estimation in Linear Models
Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, Ali Tajer
Machine Learning
日本大学: 関与なし（対象大学）