Papers
4,025 papers found
A Greedy Approximation for k-Determinantal Point Processes
Julia Grosse, Rahel Fischer, Roman Garnett et al.
ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data
Maria C. Novitasari, Johannes Quaas, Miguel Rodrigues
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization
Mathieu Dagréou, Thomas Moreau, Samuel Vaiter et al.
Analysis of Kernel Mirror Prox for Measure Optimization
Pavel Dvurechensky, Jia-Jie Zhu
Analysis of Privacy Leakage in Federated Large Language Models
Minh Vu, Truc Nguyen, Tre’ Jeter et al.
Analysis of Using Sigmoid Loss for Contrastive Learning
Chungpa Lee, Joonhwan Chang, Jy-yong Sohn
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions
Zulqarnain Q. Khan, Davin Hill, Aria Masoomi et al.
An Analytic Solution to Covariance Propagation in Neural Networks
Oren Wright, Yorie Nakahira, José M. F. Moura
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
Lesi Chen, Haishan Ye, Luo Luo
A Neural Architecture Predictor based on GNN-Enhanced Transformer
Xunzhi Xiang, Kun Jing, Jungang Xu
An Impossibility Theorem for Node Embedding
T. Mitchell Roddenberry, Yu Zhu, Santiago Segarra
An Improved Algorithm for Learning Drifting Discrete Distributions
Alessio Mazzetto
An Online Bootstrap for Time Series
Nicolai Palm, Thomas Nagler
Any-dimensional equivariant neural networks
Eitan Levin, Mateo Diaz
Anytime-Constrained Reinforcement Learning
Jeremy McMahan, Xiaojin Zhu
Approximate Bayesian Class-Conditional Models under Continuous Representation Shift
Thomas L. Lee, Amos Storkey
Approximate Control for Continuous-Time POMDPs
Yannick Eich, Bastian Alt, Heinz Koeppl
Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers
Arnab Auddy, Haolin Zou, Kamiar Rahnamarad et al.
A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning
Kihyuk Hong, Yuhang Li, Ambuj Tewari
A Scalable Algorithm for Individually Fair k-Means Clustering
MohammadHossein Bateni, Vincent Cohen-Addad, Alessandro Epasto et al.
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms
Rustem Islamov, Mher Safaryan, Dan Alistarh
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport
Tianyi Lin, Marco Cuturi, Michael Jordan
Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers
Matteo Vilucchio, Emanuele Troiani, Vittorio Erba et al.
Asynchronous Randomized Trace Estimation
Vasileios Kalantzis, Shashanka Ubaru, Chai Wah Wu et al.
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization
Mathieu Even, Anastasia Koloskova, Laurent Massoulie