NETWORK SIZE AND SIZE OF THE WEIGHTS IN MEMORIZATION WITH TWO-LAYERS NEUTRAL NETWORKS
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2021 |
Bubeck, Sebastien |
IMPROVED GUARANTEES AND A MULTIPLE-DESCENT CURVE FOR COLUMN SUBSET SELECTION AND THE NYSTROMMETHOD
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2021 |
Derezinski, Michal |
CERTIFYING STRATEGYPROOF AUCTION NETWORKS
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2021 |
Curry, Michael |
CONTINUAL LEARNING OF CONTROL PRIMITIVES : SKILL DISCOVERY VIA RESET-GAMES
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2021 |
Xu, Kelvin |
HOI ANALYSIS: INTEGRATING AND DECOMPOSING HUMAN-OBJECT INTERACTION
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2021 |
Li, Yong-Lu |
STRONGLY LOCAL P-NORM-CUT ALGORITHMS FOR SEMI-SUPERVISED LEARNING AND LOCAL GRAPH CLUSTERING
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2021 |
Liu, Meng |
A NEW INFERENCE APPROACH FOR TRAINING SHALLOW AND DEEP GENERALIZED LINEAR MODELS OF NOISY INTERACTING NEURONS
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2021 |
Mahuas, Gabriel |
A GAME-THEORETIC ANALYSIS OF THE EMPIRICAL REVENUE MAXIMIZATION ALGORITHM WITH ENDOGENOUS SAMPLING
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2021 |
Deng, Xiaotie |
NOISE-CONTRASTIVE ESTIMATION FOR MULTIVARIATE POINT PROCESSES
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2021 |
Mei, Hongyuan |
MODELING TASK EFFECTS ON MEANING REPRESENTATION IN THE BRAIN VIA ZERO-SHOT MEG PREDICTION
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2021 |
Toneva, Mariya |
ADAM WITH BANDIT SAMPLING FOR DEEP LEARNING
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2021 |
Liu, Rui |
PARABOLIC APPROXIMATION LINE SEARCH FOR DNS
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2021 |
Mutschler, Maximus |
LEARNING UNDER MODEL MISSPECIFICATION: APPLICATIONS TO VARIATIONAL AND ENSEMBLE METHODS
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2021 |
Masegosa, Andres |
THE VALUE EQUIVALENCE PRINCIPLE FOR MODEL-BASED REINFORCEMENT LEARNING
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2021 |
Grimm, Christopher |
ESTIMATING RANK-ONE SPIKES FROM HEAVY-TAILED NOISE VIA SELF-AVOIDING WALKS
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2021 |
Ding, Jingqiu |
LATENT WORLD MODELS FOR INTRINSICALLY MOTIVATED EXPLORATION
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2021 |
Ermolov, Aleksandr |
TRAINING GENERATIVE ADVERSARIAL NETWORKS BY SOLVING ORDINARY DIFFERNTIAL EQUATIONS
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2021 |
Oin, Chongli |
SELF-SUPERVISED CO-TRAINING FOR VIDEO REPRESENTATION LEARNING
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2021 |
Han, Tengda |
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 |