共 50 条
- [32] APPROXIMATE BAYESIAN INFERENCE AS A FORM OF STOCHASTIC APPROXIMATION: A NEW CONSISTENCY THEORY WITH APPLICATIONS 2016 WINTER SIMULATION CONFERENCE (WSC), 2016, : 534 - 544
- [33] Stochastic Reweighted Gradient Descent INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 162, 2022,
- [34] Stochastic gradient descent tricks Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, 7700 LECTURE NO : 421 - 436
- [35] Byzantine Stochastic Gradient Descent ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31
- [36] Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks 2018 INFORMATION THEORY AND APPLICATIONS WORKSHOP (ITA), 2018,
- [37] EFFORT ALLOCATION AND STATISTICAL INFERENCE FOR 1-DIMENSIONAL MULTISTART STOCHASTIC GRADIENT DESCENT 2018 WINTER SIMULATION CONFERENCE (WSC), 2018, : 1850 - 1861
- [40] Distortion estimates for approximate Bayesian inference CONFERENCE ON UNCERTAINTY IN ARTIFICIAL INTELLIGENCE (UAI 2020), 2020, 124 : 1208 - 1217