Papers
938 papers found
Testification of Condorcet Winners in dueling bandits
Björn Haddenhorst, Viktor Bengs, Jasmin Brandt et al.
The complexity of nonconvex-strongly-concave minimax optimization
Siqi Zhang, Junchi Yang, Cristóbal Guzmán et al.
The curious case of adversarially robust models: More data can help, double descend, or hurt generalization
Yifei Min, Lin Chen, Amin Karbasi
The neural moving average model for scalable variational inference of state space models
Thomas Ryder, Dennis Prangle, Andrew Golightly et al.
The promises and pitfalls of deep kernel learning
Sebastian W. Ober, Carl E. Rasmussen, Mark van der Wilk
Thompson sampling for Markov games with piecewise stationary opponent policies
Anthony DiGiovanni, Ambuj Tewari
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms
Fengxiang He, Bohan Wang, Dacheng Tao
Time-variant variational transfer for value functions
Giuseppe Canonaco, Andrea Soprani, Matteo Giuliani et al.
Towards a unified framework for fair and stable graph representation learning
Chirag Agarwal, Himabindu Lakkaraju, Marinka Zitnik
Towards robust episodic meta-learning
Beyza Ermis, Giovanni Zappella, Cédric Archambeau
Towards tractable optimism in model-based reinforcement learning
Aldo Pacchiano, Philip Ball, Jack Parker-Holder et al.
Tractable computation of expected kernels
Wenzhe Li, Zhe Zeng, Antonio Vergari et al.
TreeBERT: A tree-based pre-trained model for programming language
Xue Jiang, Zhuoran Zheng, Chen Lyu et al.
Trumpets: Injective flows for inference and inverse problems
Konik Kothari, AmirEhsan Khorashadizadeh, Maarten de Hoop et al.
Trusted-maximizers entropy search for efficient Bayesian optimization
Quoc Phong Nguyen, Zhaoxuan Wu, Bryan Kian Hsiang Low et al.
Unbiased gradient estimation for variational auto-encoders using coupled Markov chains
Francisco J. R. Ruiz, Michalis K. Titsias, Taylan Cemgil et al.
Uncertainty-aware sensitivity analysis using Rényi divergences
Topi Paananen, Michael Riis Andersen, Aki Vehtari
Uncertainty in minimum cost multicuts for image and motion segmentation
Amirhossein Kardoost, Margret Keuper
Unsupervised anomaly detection with adversarial mirrored autoencoders
Gowthami Somepalli, Yexin Wu, Yogesh Balaji et al.
Unsupervised constrained community detection via self-expressive graph neural network
Sambaran Bandyopadhyay, Vishal Peter
Unsupervised program synthesis for images by sampling without replacement
Chenghui Zhou, Chun-Liang Li, Barnabás Póczos
Variance-dependent best arm identification
Pinyan Lu, Chao Tao, Xiaojin Zhang
Variance reduction in frequency estimators via control variates method
Rameshwar Pratap, Raghav Kulkarni
variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference
Antonio Khalil Moretti, Liyi Zhang, Christian A. Naesseth et al.
Variational inference with continuously-indexed normalizing flows
Anthony Caterini, Rob Cornish, Dino Sejdinovic et al.