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2020 |
Qu, Qing |
| PRACTICAL AND CONSISTENT ESTIMATION OF F-DIVERGENCES
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2020 |
Rubenstein, Paul |
| APPROXIMATION RATIOS OF GRAPH NEURAL NETWORKS FOR COMBINATORIAL PROBLEMS
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2020 |
Sato, Ryoma |
| DIFFERENTIALLY PRIVATE MARKOV CHAIN MONTE CARLO
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2020 |
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| Q-MEANS: A QUANTUM ALGORITHM FOR UNSUPERVISED MACHINE LEARNING
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2020 |
Kerenidis, Iordanis |
| LEARNING DYNAMIC POLYNOMIAL PROOFS
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2020 |
Fawzi, Alhussein |
| DATA CLEANSING FOR MODELS TRAINED WITH SGD
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2020 |
Hara, Satoshi |
| MODELING UNCERTAINTY BY LEARNING A HIERARCHY OF DEEP NEURAL CONNECTIONS
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2020 |
Rohekar, Raanan Yehezkel |
| PROPAGATING UNCERTAINTY IN REINFORCEMENT LEARNING VIA WASSERSTEIN BARYCENTERS
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2020 |
Metelli, Alberto Maria |
| LIIR: LEARNING INDIVIDUAL INTRINSIC REWARD IN MULTI-AGENT REINFORCEMENT LEARNING
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2020 |
Du, Yali |
| MASSIVELY SCALABLE SINKHORN DISTANCES VIA THE NYSTRÖM METHOD
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2020 |
Altschuler, Jason |
| U-TIME: A FULLY CONVOLUTIONAL NETWORK FOR TIME SERIES SEGMENTATION APPLIED TO SLEEPING STAGING
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2020 |
Perslev, Mathias |
| MULTI-RELATIONAL POINCARÉ GRAPH EMBEDDINGS
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2020 |
Balazevic, Ivana |
| NO-PRESS DIPLOMACY: MODELING MULTI-AGENT GAMEPLAY
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2020 |
Paquette, Philip |
| STATE AGGREGATION LEARNING FROM MARKOV TRANSITION DATA
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2020 |
Duan, Yagi |
| DECENTRALIZED COOPERATIVE STOCHASTIC BANDITS
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2020 |
Martinez-Rubio, David |
| KERNEL INSTRUMENTAL VARIABLE REGRESSION
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2020 |
Singh, Rahul |
| OFFLINE CONTEXTUAL BAYESIAN OPTIMIZATION
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2020 |
Char, Ian |
| A STATE-SPACE MODEL FOR INFERRING EFFECTIVE CONNECTIVITY OF LATENT NEURAL DYNAMICS FROM SIMULTANEOUS EEG/FMRI
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2020 |
Tu, Tao |
| GAME DESIGN FOR ELICITING DISTINGUISHABLE BEHAVIOR
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2020 |
Yang, Fan |
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