| RETRO*: LEARNING RETROSYNTHETIC PLANNING WITH NEURAL GUIDED A* SEARCH
|
2021 |
Chen, Binghong |
| SIMPLE AND DEEP GRAPH CONVOLUTIONAL NETWORKS
|
2021 |
Chen, Ming |
| CONVERGENCE RATES OF VARIATIONAL INFERENCE IN SPARSE DEEP LEARNING
|
2021 |
Chérief-Abdellatif, Badr-Eddine |
| ON CORESETS FOR REGULARIZED REGRESSION
|
2021 |
Chhaya, Rachit |
| FAIR GENERATIVE MODELING VIAWEAK SUPERVISION
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2021 |
Choi, K. |
| ESTIMATING GENERALIZATION UNDER DISTRIBUTION SHIFTS VIA DOMAIN-INVARIANT REPRESENTATIONS
|
2021 |
Chuang, Ching-Yao |
| DEEP DIVERGENCE LEARNING
|
2021 |
Cilingir, Kubra |
| SUB-LINEAR MEMORY SKETCHES FOR NEAR NEIGHBOR SEARCH ON STREAMING DATA
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2021 |
Coleman, B. |
| ONLINE LEARNING WITH DEPENDENT STOCHASTIC FEEDBACK GRAPHS
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2021 |
Cortes, Corinna |
| DINO: DISTRIBUTED NEWTON-TYPE OPTIMIZATION METHOD .
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2021 |
Crane, Rixon |
| SUPERVISED QUANTILE NORMALIZATION FOR LOW-RANK MATRIX APPROXIMATION
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2021 |
Cuturi, Marco |
| DOUBLE TROUBLE IN DOUBLE DESCENT: BIAS AND VARIANCE(S) IN THE LAZY REGIME
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2021 |
d'Ascoli, Stéphane |
| CONFIDENCE SETS AND HYPOTHESIS TESTING IN A LIKELIHOOD-FREE INFERENCE SETTING
|
2021 |
Dalmasso, Niccolo |
| ESTIMATING THE ERROR OF RANDOMIZED NEWTON METHODS: A BOOTSTRAP APPROACH
|
2021 |
Chen, Jessie X. T. |
| MORE DATA CAN EXPAND THE GENERALIZATION GAP BETWEEN ADVERSARIALLY ROBUST AND STANDART MODELS
|
2021 |
Chen, Lin |
| OPTIMIZATION FROM STRUCTURED SAMPLES FOR COVERAGE FUNCTIONS
|
2021 |
Chen, Wei |
| AUTOMATED SYNTHETIC-TO-REAL GENERALIZATION
|
2021 |
Chen, Wuyang |
| (LOCALLY) DIFFERENTIALLY PRIVATE COMBINATORIAL SEMI-BANDITS
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2021 |
Chen, X. |
| CLUB: A CONTRASTIVE LOG-RATIO UPPER BOUND OF MUTUAL INFORMATION
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2021 |
Cheng, Pengyu |
| MUTUAL TRANSFER LEARNING FOR MASSIVE DATA
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2021 |
Cheng, Ching-Wei |
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