NEAR-OPTIMAL SAMPLE COMPLEXITY BOUNDS FOR LEARNING LATENT K-POLYTOPES AND APPLICATIONS TO AD-MIXTURES
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2021 |
Bhattacharyya, Chiranjib |
PROVABLE GUARANTEES FOR DECISION TREE INDUCTION: THE AGNOSTIC SETTING
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2021 |
Blanc, Guy |
FAST DIFFERENTIABLE SORTING AND RANKING
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2021 |
Blondel, M. |
DEEP COORDINATION GRAPHS
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2021 |
Bohmer, W. |
LORENTZ GROUP EQUIVARIANT NEURAL NETWORK FOR PARTICLE PHYSICS
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2021 |
Bogatskiy, Alexander |
SPECTRUM DEPENDENT LEARNING CURVES IN KERNEL REGRESSION AND WIDE NEURAL NETWORKS
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2021 |
Bordelon, Blake |
TIGHTENING EXPLORATION IN UPPER CONFIDENCE REINFORCEMENT LEARNING
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2021 |
Bourel, Hippolyte |
LATENT VARIABLE MODELLING WITH HYPERBOLIC NORMALIZING FLOWS
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2021 |
Bose, Avishek Joey |
CALIBRATION, ENTROPY RATES, AND MEMORY IN LANGUAGE MODELS
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2021 |
Braverman, Mark |
ADVERSARIAL FILTERS OF DATASET BIASES
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2021 |
Bras, Ronan Le |
GNN-FILM: GRAPH NEURAL NETWORKS WITH FEATURE-WISE LINEAR MODULATION
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2021 |
Brockschmidt, M. |
TASKNORM: RETHINKING BATCH NORMALIZATION FOR META-LEARNING
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2021 |
Bronskill, John |
SAFE IMITATION LEARNING VIA FAST BAYESIAN REWARD INFERENCE FROM PREFERENCES
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2021 |
Brown, Daniel S. |
POISSON LEARNING: GRAPH BASED SEMI-SUPERVISED LEARNING AT VERY LOW LABEL RATES
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2021 |
Calder, Jeff |
EXPLORE, DISCOVER AND LEARN: UNSUPERVISED DISCOVERY OF STATE-COVERING SKILLS
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2021 |
Campos, Víctor |
META-LEARNING WITH STOCHASTIC LINEAR BANDITS
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2021 |
Cella, L. |
DATA PREPROCESSING TO MITIGATE BIAS: A MAXIMUM ENTROPY BASED APPROACH
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2021 |
Celis, L. Elisa |
CONCISE EXPLANATIONS OF NEURAL NETWORKS USING ADVERSARIAL TRAINING
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2021 |
Chalasani, P. |
UNLABELLED DATA IMPROVES BAYESIAN UNCERTAINTY CALIBRATION UNDER COVARIATE SHIFT
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2021 |
Chan, Alex J. |
OPTIMIZING FOR THE FUTURE IN NON-STATIONARY MDPS
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2021 |
Chandak, Y. |