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2021 |
Chen, Binghong |
| SIMPLE AND DEEP GRAPH CONVOLUTIONAL NETWORKS
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2021 |
Chen, Ming |
| CONVERGENCE RATES OF VARIATIONAL INFERENCE IN SPARSE DEEP LEARNING
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2021 |
Chérief-Abdellatif, Badr-Eddine |
| ON CORESETS FOR REGULARIZED REGRESSION
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2021 |
Chhaya, Rachit |
| FAIR GENERATIVE MODELING VIAWEAK SUPERVISION
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2021 |
Choi, K. |
| ESTIMATING GENERALIZATION UNDER DISTRIBUTION SHIFTS VIA DOMAIN-INVARIANT REPRESENTATIONS
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2021 |
Chuang, Ching-Yao |
| DEEP DIVERGENCE LEARNING
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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
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2021 |
Dalmasso, Niccolo |
| A SIMPLE FRAMEWORK FOR CONTRASTIVE LEARNING OF VISUAL REPRESENTATIONS
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2021 |
Chen, T. |
| NEGATIVE SAMPLING IN SEMI-SUPERVISED LEARNING
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2021 |
Chen, J. |
| ON BREAKING DEEP GENERATIVE MODEL-BASED DEFENSES AND BEYOND
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2021 |
Chen, Yanzhi |
| HIGH-DIMENSIONAL ROBUST MEAN ESTIMATION VIA GRADIENT DESCENT
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2021 |
Cheng, Y. |
| STOCHASTIC GRADIENT AND LANGEVIN PROCESSES
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2021 |
Cheng, X. |
| K-MEANS++: FEW MORE STEPS YIELD CONSTANT APPROXIMATION
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2021 |
Choo, Davin |
| DATA-DEPENDENT DIFFERENTIALLY PRIVATE PARAMETER LEARNING FOR DIRECTED GRAPHICAL MODELS
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2021 |
Chowdhury, A. |
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