Papers
938 papers found
Addressing token uniformity in transformers via singular value transformation
Hanqi Yan, Lin Gui, Wenjie Li et al.
A free lunch from the noise: Provable and practical exploration for representation learning
Tongzheng Ren, Tianjun Zhang, Csaba Szepesvári et al.
A geometric method for improved uncertainty estimation in real-time
Gabriella Chouraqui, Liron Cohen, Gil Einziger et al.
A label efficient two-sample test
Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy et al.
A mutually exciting latent space Hawkes process model for continuous-time networks
Zhipeng Huang, Hadeel Soliman, Subhadeep Paul et al.
AND/OR branch-and-bound for computational protein design optimizing K*
Bobak Pezeshki, Radu Marinescu, Alexander Ihler et al.
A new constructive criterion for Markov equivalence of MAGs
Marcel Wienöbst, Max Bannach, Maciej Liśkiewicz
An explore-then-commit algorithm for submodular maximization under full-bandit feedback
Guanyu Nie, Mridul Agarwal, Abhishek Kumar Umrawal et al.
A robustness test for estimating total effects with covariate adjustment
Zehao Su, Leonard Henckel
Asymmetric DQN for partially observable reinforcement learning
Andrea Baisero, Brett Daley, Christopher Amato
Asymptotic optimality for active learning processes
Xueying Zhan, Yaowei Wang, Antoni B. Chan
Attribution of predictive uncertainties in classification models
Iker Perez, Piotr Skalski, Alec Barns-Graham et al.
AUTM flow: atomic unrestricted time machine for monotonic normalizing flows
Difeng Cai, Yuliang Ji, Huan He et al.
Balancing adaptability and non-exploitability in repeated games
Anthony DiGiovanni, Ambuj Tewari
Balancing utility and scalability in metric differential privacy
Jacob Imola, Shiva Kasiviswanathan, Stephen White et al.
Bayesian federated estimation of causal effects from observational data
Thanh Vinh Vo, Young Lee, Trong Nghia Hoang et al.
Bayesian quantile and expectile optimisation
Victor Picheny, Henry Moss, Léonard Torossian et al.
Bayesian spillover graphs for dynamic networks
Grace Deng, David S. Matteson
Bayesian structure learning with generative flow networks
Tristan Deleu, António Góis, Chris Emezue et al.
Bias aware probabilistic Boolean matrix factorization
Changlin Wan, Pengtao Dang, Tong Zhao et al.
Binary independent component analysis: a non-stationarity-based approach
Antti Hyttinen, Vitória Barin Pacela, Aapo Hyvärinen
Byzantine-tolerant distributed multiclass sparse linear discriminant analysis
Yajie Bao, Weidong Liu, Xiaojun Mao et al.
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift
Ananya Kumar, Tengyu Ma, Percy Liang et al.
Can mean field control (mfc) approximate cooperative multi agent reinforcement learning (marl) with non-uniform interaction?
Washim Uddin Mondal, Vaneet Aggarwal, Satish V. Ukkusuri
Capturing actionable dynamics with structured latent ordinary differential equations
Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin et al.