ON THE EXPRESSIVENESS OF APPROXIMATE INFERENCE IN BAYESIAN NEURAL NETWORKS
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2021 |
Foong, Andrew |
LEARNING TO UTILIZE SHAPING REWARDS: A NEW APPROACH OF REWARD SHAPING
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2021 |
Hu, Yujing |
THE DIVERSIFIED ENSEMBLE NEURAL NETWORK
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2021 |
Zhang, Shaofeng |
INDUCTIVE QUANTUM EMBEDDING
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2021 |
Srivastava, Santosh Kumar |
VARIATIONAL BAYESIAN UNLEARNING
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2021 |
Nguyen, Quoc Phong |
COMPRESSING IMAGES BY ENCODING THEIR LATENT REPRESENTATIONS WITH RELATIVE ENTROPY CODING
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2021 |
Flamich, Gergely |
IMPROVED GUARANTEES FOR K-MEANS++ AND K-MEANS++ PARALLEL
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2021 |
Makarychev, Konstantin |
EXPLORE AGGRESSIVELY, UPDATE CONSERVATIVELY: STOCHASTIC EXTRAGRADIENT METHODS WITH VARIABLE STEPSIZE SCALING
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2021 |
Hsieh, Yu-Guan |
CONSTRAINED EPISODIC REINFORCEMENT LEARNING IN CONCAVE-CONVEX AND KNAPSACK SETTINGS
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2021 |
Brantley, Kiante |
CROSS-VALIDATION CONFIDENCE INTERVALS FOR TEST ERROR
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2021 |
Bayle, Pierre |
ROBUSTNESS ANALYSIS OF NON-CONVEX STOCHASTIC GRADIENT DESCENT USING BIASED EXPECTATIONS
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2021 |
Scaman, Kevin |
GREEDY OPTIMIZATION PROVABLY WINS THE LOTTERY: LOGARITHMIC NUMBER OF WINNING TICKETS IS ENOUGH
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2021 |
Ye, Mao |
ESTIMATING THE EFFECTS OF CONTINUOUS-VALUED INTERVENTIONS USING GENERATIVE ADVERSARIAL NETWORKS
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2021 |
Bica, Toana |
CONVEX OPTIMIZATION BASED ON GLOBAL LOWER SECOND-ORDER MODELS
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2021 |
Doikov, Nikita |
PREDICTIVE CODING IN BALANCED NEURAL NETWORKS WITH NOISE, CHAOS AND DELAYS
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2021 |
Kadmon, Jonathan |
ON THE EQUIVALENCE BETWEEN ONLINE AND PRIVATE LEARNABILITY BEYOND BINARY CLASSIFICATION
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2021 |
Jung, Young |
AVID DATASET: ANONYMIZED VIDEOS FROM DIVERSE COUNTRIES
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2021 |
Piergiovanni, Aj |
DARK EXPERIENCE FOR GENERAL CONTINUAL LEARNING: A STRONG, SIMPLE BASELINE
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2021 |
Buzzega, Pietro |
NON-CROSSING QUANTILE REGRESSION FOR DISTRIBUTIONAL REINFORCEMENT LEARNING
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2021 |
Zhou, Fan |
DECENTRALIZED LANGEVIN DYNAMICS FOR BAYESIAN LEARNING
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2021 |
Parayil, Anjaly |