Papers
938 papers found
Classification with abstention but without disparities
Nicolas Schreuder, Evgenii Chzhen
Combinatorial semi-bandit in the non-stationary environment
Wei Chen, Liwei Wang, Haoyu Zhao et al.
Combining pseudo-point and state space approximations for sum-separable Gaussian Processes
Will Tebbutt, Arno Solin, Richard E. Turner
Communication efficient parallel reinforcement learning
Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal
Competitive policy optimization
Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger et al.
Compositional abstraction error and a category of causal models
Eigil F. Rischel, Sebastian Weichwald
Conditionally independent data generation
Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam et al.
Condition number bounds for causal inference
Spencer L. Gordon, Vinayak M. Kumar, Leonard J. Schulman et al.
Confidence in causal discovery with linear causal models
David Strieder, Tobias Freidling, Stefan Haffner et al.
Constrained differentially private federated learning for low-bandwidth devices
Raouf Kerkouche, Gergely Ács, Claude Castelluccia et al.
Constrained labeling for weakly supervised learning
Chidubem Arachie, Bert Huang
Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts
Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee
Contingency-aware influence maximization: A reinforcement learning approach
Haipeng Chen, Wei Qiu, Han-Ching Ou et al.
Contrastive prototype learning with augmented embeddings for few-shot learning
Yizhao Gao, Nanyi Fei, Guangzhen Liu et al.
Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions
Harald Leisenberger, Christian Knoll, Richard Seeber et al.
CORe: Capitalizing On Rewards in Bandit Exploration
Nan Wang, Branislav Kveton, Maryam Karimzadehgan
Correlated weights in infinite limits of deep convolutional neural networks
Adrià Garriga-Alonso, Mark van der Wilk
Decentralized multi-agent active search for sparse signals
Ramina Ghods, Arundhati Banerjee, Jeff Schneider
Deep kernels with probabilistic embeddings for small-data learning
Ankur Mallick, Chaitanya Dwivedi, Bhavya Kailkhura et al.
Defending SVMs against poisoning attacks: the hardness and DBSCAN approach
Hu Ding, Fan Yang, Jiawei Huang
Dependency in DAG models with hidden variables
Robin J. Evans
Diagnostics for conditional density models and Bayesian inference algorithms
David Zhao, Niccolò Dalmasso, Rafael Izbicki et al.
Dimension reduction for data with heterogeneous missingness
Yurong Ling, Zijing Liu, Jing-Hao Xue
Disentangling mixtures of unknown causal interventions
Abhinav Kumar, Gaurav Sinha
Distribution-free uncertainty quantification for classification under label shift
Aleksandr Podkopaev, Aaditya Ramdas