COVARIATE-POWERED EMPIRICAL BAYES ESTIMATION
|
2020 |
Ignatiadis, Nikolaos |
GUIDED META-POLICY SEARCH
|
2020 |
Mendonca, Russell |
CONTEXTUAL BANDITS WITH CROSS-LEARNING
|
2020 |
Balseiro, Santiago |
A BAYESIAN THEORY OF CONFORMITY IN COLLECTIVE DECISION MAKING
|
2020 |
Khalvati, Koosha |
A BENCHMARK FOR INTERPRETABILITY METHODS IN DEEP NEURAL NETWORKS
|
2020 |
Hooker, Sara |
DATA-DEPENDENT SAMPLE COMPLEXITY OF DEEP NEURAL NETWORKS VIA LIPSCHITZ AUGMENTATION
|
2020 |
Wei, Colin |
A UNIFIED FRAMEWORK FOR DATA POISONING ATTACK TO GRAPH-BASED SEMI-SUPERVISED LEARNING
|
2020 |
Liu, Xuanging |
BAYESIAN JOINT ESTIMATION OF MULTIPLE GRAPHICAL MODELS
|
2020 |
Gan, Lingrui |
LEADER STOCHASTIC GRADIENT DESCENT FOR DISTRIBUTED TRAINING OF DEEP LEARNING MODELS
|
2020 |
Teng, Yunfei |
ON THE VALUE OF TARGET DATA IN TRANSFER
|
2020 |
Hanneke, Steve |
MULTI-AGENT COMMON KNOWLEDGE REINFORCEMENT LEARNING
|
2020 |
Witt, Christian Schroeder De |
MODEL SIMILARITY MITIGATES TEST SET OVERUSE
|
2020 |
Mania, Horia |
ON SAMPLE COMPLEXITY UPPER AND LOWER BOUNDS FOR EXACT RANKING FROM NOISY COMPARISONS
|
2020 |
Ren, Wenbo |
LOCALITY-SENSITIVE HASHING FOR F-DIVERGENCES: MUTUAL INFORMATION LOSS AND BEYOND
|
2020 |
Chen, Lin |
SHE: A FAST AND ACCURATE DEEP NEURAL NETWORK FOR ENCRYPTED DATA
|
2020 |
Lou, Qian |
EFFICIENTLY AVOIDING SADDLE POINTS WITH ZERO ORDER METHODS: NO GRADIENTS REQUIRED
|
2020 |
Vlatakis-Gkaragkounis, Emmanouil-Vasileios |
LOGARITHMIC REGRET FOR ONLINE CONTROL
|
2020 |
Agarwal, Naman |
KNG: THE K-NORM GRADIENT MECHANISM
|
2020 |
Reimherr, Matthew |
DEVIGN: EFFECTIVE VULNERABILITY IDENTIFICATION BY LEARNING COMPREHENSIVE PROGRAM SEMANTICS VIA GRAPH NEURAL NETWORKS
|
2020 |
Zhou, Yagin |
DETOX: A REDUNDANCY-BASED FRAMEWORK FOR FASTER AND MORE ROBUST GRADIENT AGGREGATION
|
2020 |
Rajput, Shashank |