Papers
938 papers found
Multi-source domain adaptation via weighted joint distributions optimal transport
Rosanna Turrisi, Rémi Flamary, Alain Rakotomamonjy et al.
Multistate analysis with infinite mixtures of Markov chains
Lucas Maystre, Tiffany Wu, Roberto Sanchis-Ojeda et al.
Multi-winner approval voting goes epistemic
Tahar Allouche, Jérôme Lang, Florian Yger
Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games
Kenshi Abe, Mitsuki Sakamoto, Atsushi Iwasaki
Mutual information based Bayesian graph neural network for few-shot learning
Kaiyu Song, Kun Yue, Liang Duan et al.
Near-optimal Thompson sampling-based algorithms for differentially private stochastic bandits
Bingshan Hu, Nidhi Hegde
Neural ensemble search via Bayesian sampling
Yao Shu, Yizhou Chen, Zhongxiang Dai et al.
Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming
Supriyo Ghosh, Laura Wynter, Shiau Hong Lim et al.
NeuroBE: Escalating neural network approximations of Bucket Elimination
Sakshi Agarwal, Kalev Kask, Alex Ihler et al.
Neuro-symbolic entropy regularization
Kareem Ahmed, Eric Wang, Kai-Wei Chang et al.
Noisy L0-sparse subspace clustering on dimensionality reduced data
Yingzhen Yang, Ping Li
Nonparametric exponential family graph embeddings for multiple representation learning
Chien Lu, Jaakko Peltonen, Timo Nummenmaa et al.
Non-parametric inference of relational dependence
Ragib Ahsan, Zahra Fatemi, David Arbour et al.
Offline change detection under contamination
Sujay Bhatt, Guanhua Fang, Ping Li
Offline policy optimization with eligible actions
Yao Liu, Yannis Flet-Berliac, Emma Brunskill
Offline reinforcement learning under value and density-ratio realizability: The power of gaps
Jinglin Chen, Nan Jiang
Offline stochastic shortest path: Learning, evaluation and towards optimality
Ming Yin, Wenjing Chen, Mengdi Wang et al.
On early extinction and the effect of travelling in the SIR model
Petra Berenbrink, Colin Cooper, Cristina Gava et al.
On provably robust meta-Bayesian optimization
Zhongxiang Dai, Yizhou Chen, Haibin Yu et al.
On testability of the front-door model via Verma constraints
Rohit Bhattacharya, Razieh Nabi
On the definition and computation of causal treewidth
Yizuo Chen, Adnan Darwiche
On the effectiveness of adversarial training against common corruptions
Klim Kireev, Maksym Andriushchenko, Nicolas Flammarion
On-the-fly adaptation of patrolling strategies in changing environments
Tomáš Brázdil, David Klaška, Antonı́n Kučera et al.
On the inductive bias of neural networks for learning read-once DNFs
Ido Bronstein, Alon Brutzkus, Amir Globerson
Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints
Krishna C. Kalagarla, Kartik Dhruva, Dongming Shen et al.