STOCHASTIC OPTIMIZATION FOR PERFORMATIVE PREDICTION
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2021 |
Mendler-Dünner, Celestine |
LEARNING DIFFERENTIABLE PROGRAMS WITH ADMISSIBLE NEURAL HEURISTICS
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2021 |
Shah, Ameesh |
META-NEIGHBORHOODS
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2021 |
Shan, Siyuan |
FEATURE IMPORTANCE RANKING FOR DEEP LEARNING
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2021 |
Wojtas, Maksymilian |
MODEL INVERSION NETWORKS FOR MODEL-BASED OPTIMIZATION
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2021 |
Kumar, Aviral |
CERTIFYING CONFIDENCE VIA RANDOMIZED SMOOTHING
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2021 |
Kumar, Aounon |
HAUSDORFF DIMENSION, HEAVY TAILS, AND GENERALIZA TION IN NEURAL NETWORKS
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2021 |
Simsekli, Umut |
EXACT EXPRESSIONS FOR DOUBLE DESCENT AND IMPLICIT REGULARIZATION VIA SURROGATE RANDOM DESIGN
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2021 |
Derezinski, Michal |
SPARSE GRAPHICAL MEMORY FOR ROBUST PLANNING
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2021 |
Emmons, Scott |
SECOND ORDER PAC-BAYESIAN BOUNDS FOR THE WEIGHTED MAJORITY VOTE
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2021 |
Masegosa, Andres |
COUNTERFACTUAL VISION-AND-LANGUAGE NAVIGATION: UNRAVELLING THE UNSEEN
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2021 |
Parvaneh, Amin |
ENABLING CERTIFICATION OF VERIFICATION-AGNOSTIC NETWORKS VIA MEMORY-EFFICIENT SEMIDEFINITE PROGRAMMING
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2021 |
Dathathri, Sumanth |
AN ANALYTIC THEORY OF SHALLOW NETWORKS DYNAMICS FOR HINGE LOSS CLASSIFICATION
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2021 |
Pellegrini, Franco |
LEARNING TO ORIENT SURFACES BY SELF-SUPERVISED SPHERICAL CNNS
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2021 |
Spezialetti, Riccardo |
AGNOSTIC LEARNING OF A SINGLE NEURON WITH GRADIENT DESCENT
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2021 |
Frei, Spencer |
STATISTICAL EFFICIENCY OF THOMPSON SAMPLING FOR COMBINATORIAL SEMI-BANDITS
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2021 |
Perrault, Pierre |
GENERATIVE CAUSAL EXPLANATIONS OF BLACK-BOX CLASSIFIERS
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2021 |
O'Shaughnessy, Matthew |
DVERGE: DIVERSIFYING VULNERABILITIES FOR ENHANCED ROBUST GENERATION OF ENSEMBLES
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2021 |
Yang, Huanrui |
POLICY IMPROVEMENT VIA IMITATION OF MULTIPLE ORACLES
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2021 |
Cheng, Ching-An |
LEARNING OF DISCRETE GRAPHICAL MODELS WITH NEURAL NETWORKS
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2021 |
Jayakumar, Abhijith |