CONTINUOUS REGULARIZED WASSERSTEIN BARYCENTERS
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2021 |
Li, Lingxiao |
AXIOMS FOR LEARNING FROM PAIRWISE COMPARISONS
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2021 |
Noothigattu, Ritesh |
FEWER IS MORE: A DEEP GRAPH METRIC LEARNING PERSPECTIVE USING FEWER PROXIES
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2021 |
Zhu, Yuehua |
REPLICA-EXCHANGE NOS\VE-HOOVER DYNAMICS FOR BAYESIAN LEARNING ON LARGE DATASETS
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2021 |
Luo, Rui |
NEURAL ANISOTROPY DIRECTIONS
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2021 |
Ortiz-Jimenez, Guillermo |
PAC-BAYESIAN BOUND FOR THE CONDITIONAL VALUE AT RISK
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2021 |
Mhammedi, Zakaria |
STOCHASTIC STEIN DISCREPANCIES
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2021 |
Gorham, Jackson |
CREAM OF THE CROP: DISTILLING PRIORITIZED PATHS FOR ONE-SHOT NEURAL ARCHITECTURE SEARCH
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2021 |
Peng, Houwen |
REPRESENTATION LEARNING FOR INTEGRATING MULTI-DOMAIN OUTCOMES TO OPTIMIZE INDIVIDUALIZED TREATMENT
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2021 |
Chen, Yuan |
DISTRIBUTED NEWTON CAN COMMUNICATE LESS AND RESIST BYZANTINE WORKERS
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2021 |
Ghosh, Avishek |
DIFFGCN: GRAPH CONVOLUTIONAL NETWORKS VIA DIFFERENTIAL OPERATORS AND ALGEBRAIC MULTIGRID POOLING
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2021 |
Eliasof, Moshe |
DECISION TREES AS PARTITIONING MACHINES TO CHARACTERIZE THEIR GENERALIZATION PROPERTIES
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2021 |
Leboeuf, Jean-Samuel |
3D SELF-SUPERVISED METHODS FOR MEDICAL IMAGING
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2021 |
Taleb, Aiham |
BAYESIAN FILTERING UNIFIES ADAPTIVE AND NON-ADAPTIVE NEURAL NETWORK OPTIMIZATION METHODS
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2021 |
Aitchison, Laurence |
WORST-CASE ANALYSIS FOR RANDOMLY COLLECTED DATA
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2021 |
Chen, Justin |
BYZANTINE RESILIENT DISTRIBUTED MULTI-TASK LEARNING
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2021 |
Li, Jiani |
LEARNING ROBUST DECISION POLICIES FROM OBSERVATIONAL DATA
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2021 |
Osama, Muhammad |
X-CAL: EXPLICIT CALIBRATION FOR SURVIVAL ANALYSIS
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2021 |
Goldstein, Mark |
BAIL: BEST-ACTION IMITATION LEARNING FOR BATCH DEEP REINFORCEMENT LEARNING
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2021 |
Chen, Xinyue |
BATCH NORMALIZATION PROVABLY AVOIDS RANKS COLLAPSE FOR RANDOMLY INITIALISED DEEP NETWORKS
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2021 |
Daneshmand, Hadi |