Papers
4,025 papers found
The Galerkin method beats Graph-Based Approaches for Spectral Algorithms
Vivien A. Cabannes, Francis Bach
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
Anqi Mao, Mehryar Mohri, Yutao Zhong
Theory-guided Message Passing Neural Network for Probabilistic Inference
Zijun Cui, Hanjing Wang, Tian Gao et al.
The Relative Gaussian Mechanism and its Application to Private Gradient Descent
Hadrien Hendrikx, Paul Mangold, Aurélien Bellet
The Risks of Recourse in Binary Classification
Hidde Fokkema, Damien Garreau, Tim van Erven
The sample complexity of ERMs in stochastic convex optimization
Daniel Carmon, Amir Yehudayoff, Roi Livni
The Solution Path of SLOPE
Xavier Dupuis, Patrick Tardivel
Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources
Rohan Deb, Aadirupa Saha, Arindam Banerjee
Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators
Kenny Olsen, Rasmus M. Hoeegh Lindrup, Morten Mørup
Thompson Sampling Itself is Differentially Private
Tingting Ou, Rachel Cummings, Marco Avella Medina
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks
Ben Batten, Mehran Hosseini, Alessio Lomuscio
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model
Nikolaos Nakis, Abdulkadir Celikkanat, Louis Boucherie et al.
Timing as an Action: Learning When to Observe and Act
Helen Zhou, Audrey Huang, Kamyar Azizzadenesheli et al.
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models
Cyrus Cousins, I. Elizabeth Kumar, Suresh Venkatasubramanian
Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL
Arnob Ghosh, Xingyu Zhou, Ness Shroff
Towards a Complete Benchmark on Video Moment Localization
Jinyeong Chae, Donghwa Kim, Kwanseok Kim et al.
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
Huy Nguyen, TrungTin Nguyen, Khai Nguyen et al.
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective
Sanath Kumar Krishnamurthy, Adrienne M Propp, Susan Athey
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach
Juanwu Lu, Wei Zhan, Masayoshi Tomizuka et al.
Towards Practical Non-Adversarial Distribution Matching
Ziyu Gong, Ben Usman, Han Zhao et al.
Training a Tucker Model With Shared Factors: a Riemannian Optimization Approach
Ivan Peshekhonov, Aleksey Arzhantsev, Maxim Rakhuba
Training Implicit Generative Models via an Invariant Statistical Loss
José Manuel de Frutos, Pablo Olmos, Manuel Alberto Vazquez Lopez et al.
Transductive conformal inference with adaptive scores
Ulysse Gazin, Gilles Blanchard, Etienne Roquain
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
Zelin He, Ying Sun, Runze Li
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression
Kevin Li, Max Balakirsky, Simon Mak