Papers
938 papers found
ResIST: Layer-wise decomposition of ResNets for distributed training
Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine et al.
Resolving label uncertainty with implicit posterior models
Esther Rolf, Nikolay Malkin, Alexandros Graikos et al.
Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning
Jackson A. Killian, Lily Xu, Arpita Biswas et al.
ReVar: Strengthening policy evaluation via reduced variance sampling
Subhojyoti Mukherjee, Josiah P. Hanna, Robert D Nowak
Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation
Or Dinari, Oren Freifeld
Revisiting the general identifiability problem
Yaroslav Kivva, Ehsan Mokhtarian, Jalal Etesami et al.
Robust Bayesian recourse
Tuan-Duy H. Nguyen, Ngoc Bui, Duy Nguyen et al.
Robust identifiability in linear structural equation models of causal inference
Karthik A. Sankararaman, Anand Louis, Navin Goyal
Robust learning of tractable probabilistic models
Rohith Peddi, Tahrima Rahman, Vibhav Gogate
Robustness of model predictions under extension
Tineke Blom, Joris M. Mooij
Robust textual embedding against word-level adversarial attacks
Yichen Yang, Xiaosen Wang, Kun He
Safety aware changepoint detection for piecewise i.i.d. bandits
Subhojyoti Mukherjee
SASH: Efficient secure aggregation based on SHPRG for federated learning
Zizhen Liu, Si Chen, Jing Ye et al.
Self-distribution distillation: efficient uncertainty estimation
Yassir Fathullah, Mark J. F. Gales
Self-supervised representations for multi-view reinforcement learning
Huanhuan Yang, Dianxi Shi, Guojun Xie et al.
Semiparametric causal sufficient dimension reduction of multidimensional treatments
Razieh Nabi, Todd McNutt, Ilya Shpitser
Semi-supervised novelty detection using ensembles with regularized disagreement
Alexandru Tifrea, Eric Stavarache, Fanny Yang
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning
Hannes Eriksson, Debabrota Basu, Mina Alibeigi et al.
Sequential algorithmic modification with test data reuse
Jean Feng, Gene Pennllo, Nicholas Petrick et al.
Set-valued prediction in hierarchical classification with constrained representation complexity
Thomas Mortier, Eyke Hüllermeier, Krzysztof Dembczyński et al.
Shifted compression framework: generalizations and improvements
Egor Shulgin, Peter Richtárik
Shoring up the foundations: fusing model embeddings and weak supervision
Mayee F. Chen, Daniel Y. Fu, Dyah Adila et al.
Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning
Daiki Suehiro, Eiji Takimoto
SMT-based weighted model integration with structure awareness
Giuseppe Spallitta, Gabriele Masina, Paolo Morettin et al.