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2021 |
Cabannes, Vivien |
EMPIRICAL STUDY OF THE BENEFITS OF OVERPARAMETERIZATIONIN LEARNING LATENT VARIABLE MODELS
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2021 |
Buhai, Rares-Darius |
BOOSTED HISTOGRAM TRANSFORUM FOR REGRESSION
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2021 |
Cai, Yuchao |
LEARNING TO SIMULATE AND DESIGN FOR STRUCTURAL ENGINEERING
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2021 |
Chang, Kai-Hung |
CIRCUIT-BASED INTRINSIC METHODS TO DETECT OVERFITTING
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2021 |
Chatterjee, Satrajit |
SELF-PU: SELF BOOSTED AND CALIBRATED POSITIVE-UNLABELED TRAINING
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2021 |
Chen, Xuxi |
DEEP REASONING NETWORKS FOR UNSUPERVISED PATTERN DE-MIXING WITH CONSTRAINT REASONING
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2021 |
Chen, Di |
STABILIZING DIFFERENTIABLE ARCHITECTURE SEARCH VIA PERTURBATION-BASED REGULARIZATION
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2021 |
Chen, Xiangning |
CONVOLUTIONAL KERNEL NETWORKS FOR GRAPH-STRUCTURED DATA
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2021 |
Chen, Dexione |
LOW-RANK BOTTLENECK IN MULTI-HEAD ATTENTION MODELS
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2021 |
Bhojanapalli, Srinadh |
BEYOND SIGNAL PROPAGATION: IS FEATURE DIVERSITY NECESSARY IN DEEP NEURAL NETWORK INITILALIZATION?
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2021 |
Blumenfeld, Y. |
PROPER NETWORK INTERPRETABILITY HELPS ADVERSARIAL ROBUSTNESS IN CLASSIFICATION
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2021 |
Boopathy, A. |
ESTIMATING THE NUMBER AND EFFECT SIZES OF NON-NULL HYPOTHESES
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2021 |
Brennan, Jennifer |
SCHATTEN NORMS IN MATRIX STREAMS: HELLO SPARSITY, GOODBYE DIMENSION
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2021 |
Braverman, Vladimir |
THE FAST ALGORITHM FOR SUBMODULAR MAXIMIZATION
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2021 |
Breuer, Adam |
DEBAYES: A BAYESIAN METHOD FOR DEBIASING NETWORK EMBEDDINGS
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2021 |
Buyl, Maarten |
ON VALIDATION AND PLANNING OF AN OPTIMAL DECISION RULE WITH APPLICATION IN HEALTHCARE STUDIES
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2021 |
Cai, Hengrui |
PROVABLY EFFICIENT EXPLORATION IN POLICY OPTIMIZATION
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2021 |
Cai, Q. |
UNCERTAINTY QUANTIFICATION FOR NONCONVEX TENSOR COMPLETION: CONFIDENCE INTERVALS, HETEROSCEDASTICITY AND OPTIMALLITY
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2021 |
Cai, Changxiao |
LOGARITHMIC REGRET FOR LEARNING LINEAR QUADRATIC REGULATORS EFFICIENTLY
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2021 |
Cassel, A. |