Papers
Analysis of high-dimensional Continuous Time Markov Chains using the Local Bouncy Particle Sampler
Tingting Zhao, Alexandre Bouchard-Côté
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms
Alain Celisse, Martin Wahl
An Empirical Study of Bayesian Optimization: Acquisition Versus Partition
Erich Merrill, Alan Fern, Xiaoli Fern et al.
An Importance Weighted Feature Selection Stability Measure
Victor Hamer, Pierre Dupont
An Inertial Newton Algorithm for Deep Learning
Camille Castera, Jérôme Bolte, Cédric Févotte et al.
An Online Sequential Test for Qualitative Treatment Effects
Chengchun Shi, Shikai Luo, Hongtu Zhu et al.
Approximate Newton Methods
Haishan Ye, Luo Luo, Zhihua Zhang
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning
Pascal Klink, Hany Abdulsamad, Boris Belousov et al.
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
Oliver Kroemer, Scott Niekum, George Konidaris
Are We Forgetting about Compositional Optimisers in Bayesian Optimisation?
Antoine Grosnit, Alexander I. Cowen-Rivers, Rasul Tutunov et al.
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration
Yuetian Luo, Garvesh Raskutti, Ming Yuan et al.
Asynchronous Online Testing of Multiple Hypotheses
Tijana Zrnic, Aaditya Ramdas, Michael I. Jordan
As You Like It: Localization via Paired Comparisons
Andrew K. Massimino, Mark A. Davenport
A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines
Marco C. Campi, Simone Garatti
Attention is Turing-Complete
Jorge Pérez, Pablo Barceló, Javier Marinkovic
A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems
Giulio Galvan, Matteo Lapucci, Chih-Jen Lin et al.
A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints
Guodong Zhang, Xuchan Bao, Laurent Lessard et al.
A Unified Convergence Analysis for Shuffling-Type Gradient Methods
Lam M. Nguyen, Quoc Tran-Dinh, Dzung T. Phan et al.
A Unified Framework for Random Forest Prediction Error Estimation
Benjamin Lu, Johanna Hardin
A Unified Framework for Spectral Clustering in Sparse Graphs
Lorenzo Dall'Amico, Romain Couillet, Nicolas Tremblay
A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective
Gaoxia Jiang, Wenjian Wang, Yuhua Qian et al.
Banach Space Representer Theorems for Neural Networks and Ridge Splines
Rahul Parhi, Robert D. Nowak
Bandit Convex Optimization in Non-stationary Environments
Peng Zhao, Guanghui Wang, Lijun Zhang et al.
Bandit Learning in Decentralized Matching Markets
Lydia T. Liu, Feng Ruan, Horia Mania et al.