Papers
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems
Guangzeng Xie, Luo Luo, Yijiang Lian et al.
LowFER: Low-rank Bilinear Pooling for Link Prediction
Saadullah Amin, Stalin Varanasi, Katherine Ann Dunfield et al.
Low-loss connection of weight vectors: distribution-based approaches
Ivan Anokhin, Dmitry Yarotsky
Low-Rank Bottleneck in Multi-head Attention Models
Srinadh Bhojanapalli, Chulhee Yun, Ankit Singh Rawat et al.
Low-Variance and Zero-Variance Baselines for Extensive-Form Games
Trevor Davis, Martin Schmid, Michael Bowling
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
Vlad Niculae, Andre Martins
LTF: A Label Transformation Framework for Correcting Label Shift
Jiaxian Guo, Mingming Gong, Tongliang Liu et al.
Manifold Identification for Ultimately Communication-Efficient Distributed Optimization
Yu-Sheng Li, Wei-Lin Chiang, Ching-Pei Lee
Mapping natural-language problems to formal-language solutions using structured neural representations
Kezhen Chen, Qiuyuan Huang, Hamid Palangi et al.
Margin-aware Adversarial Domain Adaptation with Optimal Transport
Sofien Dhouib, Ievgen Redko, Carole Lartizien
Maximum-and-Concatenation Networks
Xingyu Xie, Hao Kong, Jianlong Wu et al.
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
Silviu Pitis, Harris Chan, Stephen Zhao et al.
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
Amr Alexandari, Anshul Kundaje, Avanti Shrikumar
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics
Debjani Saha, Candice Schumann, Duncan Mcelfresh et al.
Median Matrix Completion: from Embarrassment to Optimality
Weidong Liu, Xiaojun Mao, Raymond K. W. Wong
Message Passing Least Squares Framework and its Application to Rotation Synchronization
Yunpeng Shi, Gilad Lerman
MetaFun: Meta-Learning with Iterative Functional Updates
Jin Xu, Jean-Francois Ton, Hyunjik Kim et al.
Meta-learning for Mixed Linear Regression
Weihao Kong, Raghav Somani, Zhao Song et al.
Meta-Learning with Shared Amortized Variational Inference
Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari
Meta-learning with Stochastic Linear Bandits
Leonardo Cella, Alessandro Lazaric, Massimiliano Pontil
Meta Variance Transfer: Learning to Augment from the Others
Seong-Jin Park, Seungju Han, Ji-Won Baek et al.
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
Francesco Croce, Matthias Hein
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
Yaqi Duan, Zeyu Jia, Mengdi Wang
Minimax Pareto Fairness: A Multi Objective Perspective
Natalia Martinez, Martin Bertran, Guillermo Sapiro
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model
Julien Hendrickx, Alex Olshevsky, Venkatesh Saligrama