Papers
4,025 papers found
Learning Sparse Graphon Mean Field Games
Christian Fabian, Kai Cui, Heinz Koeppl
Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles
Rajeev Verma, Daniel Barrejon, Eric Nalisnick
Learning to Generalize Provably in Learning to Optimize
Junjie Yang, Tianlong Chen, Mingkang Zhu et al.
Learning to Optimize with Stochastic Dominance Constraints
Hanjun Dai, Yuan Xue, Niao He et al.
Learning Treatment Effects from Observational and Experimental Data
Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper
Learning While Scheduling in Multi-Server Systems With Unknown Statistics: MaxWeight with Discounted UCB
Zixian Yang, R. Srikant, Lei Ying
Learning with Partial Forgetting in Modern Hopfield Networks
Toshihiro Ota, Ikuro Sato, Rei Kawakami et al.
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision
Jieyu Zhang, Linxin Song, Alex Ratner
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation
Yaxuan Zhu, Jianwen Xie, Ping Li
Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization
Ziqing Xu, Hancheng Min, Salma Tarmoun et al.
LOFT: Finding Lottery Tickets through Filter-wise Training
Qihan Wang, Chen Dun, Fangshuo Liao et al.
Loss-Curvature Matching for Dataset Selection and Condensation
Seungjae Shin, Heesun Bae, Donghyeok Shin et al.
Manifold Restricted Interventional Shapley Values
Muhammad Faaiz Taufiq, Patrick Blöbaum, Lenon Minorics
MARS: Masked Automatic Ranks Selection in Tensor Decompositions
Maxim Kodryan, Dmitry Kropotov, Dmitry Vetrov
Matching Map Recovery with an Unknown Number of Outliers
Arshak Minasyan, Tigran Galstyan, Sona Hunanyan et al.
Mean Parity Fair Regression in RKHS
Shaokui Wei, Jiayin Liu, Bing Li et al.
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality
Ikko Yamane, Yann Chevaleyre, Takashi Ishida et al.
Membership Inference Attacks against Synthetic Data through Overfitting Detection
Boris van Breugel, Hao Sun, Zhaozhi Qian et al.
Meta-learning for Robust Anomaly Detection
Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi et al.
Meta-Learning with Adjoint Methods
Shibo Li, Zheng Wang, Akil Narayan et al.
Meta-Uncertainty in Bayesian Model Comparison
Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets
Hussein Hazimeh, Natalia Ponomareva
Minimax-Bayes Reinforcement Learning
Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson et al.
Minimax Nonparametric Two-Sample Test under Adversarial Losses
Rong Tang, Yun Yang
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier
Spencer Compton, Dmitriy Katz, Benjamin Qi et al.