Country
Optimal Gradient Sliding and its Application to Distributed Optimization Under Similarity
This is, e.g., the typical setting of many ERM
Maximum-Entropy Fine Grained Classification
Abhimanyu Dubey, Otkrist Gupta, Ramesh Raskar, Nikhil Naik
Neural Information Processing Systems http://nips.cc/
Disentangling Influence: Usingdisentangled representationstoauditmodelpredictions
Motivated by the need to audit complex and black box models, there has been extensiveresearch onquantifying howdatafeatures influence model predictions.
Streaming Bayesian Inference for Crowdsourced Classification
Edoardo Manino, Long Tran-Thanh, Nicholas Jennings
Neural Information Processing Systems http://nips.cc/
Near-OptimalRegretforAdversarialMDPwith DelayedBanditFeedback
The standard assumption in reinforcement learning (RL) is that agents observe feedback for their actions immediately. However, in practice feedback is often observedindelay.
Near-OptimalRegretforAdversarialMDPwith DelayedBanditFeedback
The standard assumption in reinforcement learning (RL) is that agents observe feedback for their actions immediately. However, in practice feedback is often observedindelay.