SOURCE SEPARATION WITH DEEP GENERATIVE PRIORS
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2021 |
Jayaram, Vivek |
EXTRAGRADIENT WITH PLAYER SAMPLING FOR FASTER NASH EQUILIBRIUM FINDING
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2021 |
Jelassi, S. |
HISTORY-GRADIENT AIDED BATCH SIZE ADAPTATION FOR VARIANCE REDUCED ALGORITHMS
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2021 |
Ji, K. |
INFORMATION-THEORETIC LOCAL MINIMA CHARACTERIZATION AND REGULARIZATION
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2021 |
Jia, Zhiwei |
BINOCULARS FOR EFFICIENT, NONMYOPIC SEQUENTIAL EXPERIMENTAL DESIGN
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2021 |
Jiang, Shali |
HIERARCHICAL GENERATION OF MOLECULAR GRAPHS USING STRUCTURAL MOTIES
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2021 |
Jin, Wengong |
REWARD-FREE EXPLORATION FOR REINFORCEMENT LEARNING
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2021 |
Jin, Chi |
FAIR K-CENTERS VIA MAXIMUM MATCHING
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2021 |
Jones, Matthew |
ON RELATIVISTIC F-DIVERGENCES
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2021 |
Jolicoeur-Martineau, A. |
EVALUATING THE PERFORMANCE OF REINFORCEMENT LEARNING ALGORITHMS
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2021 |
Jordan, Scott M. |
SETS CLUSTERING
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2021 |
Jubran, I. |
DISTRIBUTION AUGMENTATION FOR GENERATIVE MODELING
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2021 |
Jun, Heewoo |
PARTIAL TRACE REGRESSION AND LOW-RANK KRAUS DECOMPOSITION
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2021 |
Kadri, Hachem |
STATISTICALLY EFFICIENT OFF-POLICY POLICY GRADIENTS
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2021 |
Kallus, N. |
ON THE POWER OF COMPRESSED SENSING WITH GENERATIVE MODELS
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2021 |
Kamath, Akshay |
OPERATION-AWARE SOFT CHANNEL PRUNING USING DIFFERENTIABLE MASKS
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2021 |
Kang, Minsoo |
SCAFFOLD: STOCHASTIC CONTROLLED AVERAGING FOR FEDERATED LEARNING
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2021 |
Karimireddy, S. |
FEATURE NOISE INDUCES LOSS DISCREPANCY ACROSS GROUPS
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2021 |
Khani, F. |
UNIFORM CONVERGENCE OF RANK-WEIGHTED LEARNING
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2021 |
Khim, Justin |
ACTIVE WORLD MODEL LEARNING WITH PROGRESS CURIOSITY
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2021 |
Kim, Kuno |