| IMPLICIT REGULARIZATION OF DISCRETE GRADIENT DYNAMICS IN LINEAR NEURAL NETWORKS
|
2020 |
Gidel, Gauthier |
| INHERENT WEIGHT NORMALIZATION IN STOCHASTIC NEURAL NETWORKS
|
2020 |
Detorakis, Georgios |
| META CURVATURE
|
2020 |
Park, Eunbyung |
| PC-FAIRNESS: A UNIFIED FRAMEWORK FOR MEASURING CAUSALITY-BASED FAIRNESS
|
2020 |
Wu, Yongkai |
| SGD ON NEURAL NETWORKS LEARNS FUNCTIONS OF INCREASING COMPLEXITY
|
2020 |
Kalimeris, Dimitris |
| THE LANDSCAPE OF NON-CONVEX EMPIRICAL RISK WITH DEGENERATE POPULATION RISK
|
2020 |
Li, Shuang |
| DEEP GENERALIZED METHOD OF MOMENTS FOR INSTRUMENTAL VARIABLE ANALYSIS
|
2020 |
Bennett, Andrew |
| DECONSTRUCTING LOTTERY TICKETS: ZEROS, SIGNS, AND THE SUPERMASK
|
2020 |
Zhou, Hattie |
| IMPLICIT GENERATION AND MODELING WITH ENERGY BASED MODELS
|
2020 |
Du, Yilun |
| ADAPTIVE GNN FOR IMAGE ANALYSIS AND EDITING
|
2020 |
Liang, Lingyu |
| LCA: LOSS CHANGE ALLOCATION FOR NEURAL NETWORK TRAINING
|
2020 |
Lan, Janice |
| MCP: LEARNING COMPOSABLE HIERARCHICAL CONTROL WITH MULTIPLICATIVE
|
2020 |
Peng, Xue Bin |
| CODA: AN END-TO-END NEURAL PROGRAM
|
2020 |
Fu, Cheng |
| EXACT INFERENCE IN STRUCTURED PREDICTION
|
2020 |
Bello, Kevin |
| SCALABLE STRUCTURE LEARNING OF CONTINUOUS-TIME BAYESIAN NETWORKS FROM INCOMPLETE DATA
|
2020 |
Linzner, Dominik |
| EFFICIENTLY ESTIMATING ERDOS-RENYI GRAPHS WITH NODE DIFFERENTIAL PRIVACY
|
2020 |
Ullman, Jonathan |
| VERIFIED UNCERTAINTY CALIBRATION
|
2020 |
Kumar, Ananya |
| A NORMATIVE THEORY FOR CAUSAL INFERENCE AND BAYES FACTOR COMPUTATION IN NEURAL CIRCUITS
|
2020 |
Zhang, Wenhao |
| STOCHASTIC GRADIENT HAMILTONIAN MONTE CARLO METHODS WITH RECURSIVE VARIANCE REDUCTION
|
2020 |
Zou, Difan |
| CROSS-SECTIONAL LEARNING OF EXTREMAL DEPENDENCE AMONG FINANCIAL ASSETS
|
2020 |
Yan, Xing |
Tag hinzufügen