ESTIMATING THE ERROR OF RANDOMIZED NEWTON METHODS: A BOOTSTRAP APPROACH
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2021 |
Chen, Jessie X. T. |
MORE DATA CAN EXPAND THE GENERALIZATION GAP BETWEEN ADVERSARIALLY ROBUST AND STANDART MODELS
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2021 |
Chen, Lin |
OPTIMIZATION FROM STRUCTURED SAMPLES FOR COVERAGE FUNCTIONS
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2021 |
Chen, Wei |
AUTOMATED SYNTHETIC-TO-REAL GENERALIZATION
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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 |
REINFORCEMENT LEARNING FOR NON-STATIONARY MARKOV DECISION PROCESSES: THE BLESSING OF (MORE) OPTIMISM
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2021 |
Cheung, Wang Chi |
HOW TO SOLVE FAIR K-CENTER IN MASSIVE DATA MODELS
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2021 |
Chiplunkar, A. |
FEATURE-MAP-LEVEL ONLINE ADVERSARIAL KNOWLEDGE DISTILLATION
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2021 |
Chung, Inseop |
HEALING PRODUCTS OF GAUSSIAN PROCESS EXPERTS
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2021 |
Cohen, S. |
BOOSTING FRANK-WOLFE BY CHASING GRADIENTS
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2021 |
Combettes, Cyrille W. |
ADAPTIVE REGION-BASED ACTIVE LEARNING
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2021 |
Cortes, Corinna |
LEARNABLE GROUP TRANSFORM FOR TIME-SERIES
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2021 |
Cosentino, R. |
CAUSAL MODELING FOR FAIRNESS IN DYNAMICAL SYSTEMS
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2021 |
Creager, Elliot |
PARAMETER-FREE, DYNAMIC, AND STRONGLY-ADAPTIVE ONLINE LEARNING
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2021 |
Cutkosky, Ashok |
SCALABLE DEEP GENERATIVE MODELING FOR SPARSE GRAPHS
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2021 |
Dai, Hanjun |
SHARP STATISTICAL GUARANTEES FOR ADVERSARIALLY ROBUST GAUSSIAN CLASSIFICATION
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2021 |
Dan, Chen |
RETRO*: LEARNING RETROSYNTHETIC PLANNING WITH NEURAL GUIDED A* SEARCH
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2021 |
Chen, Binghong |
SIMPLE AND DEEP GRAPH CONVOLUTIONAL NETWORKS
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2021 |
Chen, Ming |