ASYNCHRONOUS DECENTRALIZED OPTIMIZATION WITH IMPLICIT STOCHASTIC VARIANCE REDUCTION
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2022 |
NIWA, KENTA |
ACCURACY, INTERPRETABILITY, AND DIFFERENTIAL PRIVACY VIA EXPLAINABLE BOOSTING
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2022 |
NORI, HARSHA |
COMBOPTNET: FIT THE RIGHT NP-HARD PROBLEM BY LEARNING INTEGER PROGRAMMING CONSTRAINTS
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2022 |
PAULUS, ANSELM |
DIFFERENTIABLE SORTING NETWORKS FOR SCALABLE SORTING AND RANKING SUPERVISION
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2022 |
PETERSEN, FELIX |
BIAS-FREE SCALABLE GAUSSIAN PROCESSES VIA RANDOMIZED TRUNCATIONS
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2022 |
POTAPCZYNSKI, ANDRES |
DENSE FOR THE PRICE OF SPARSE: IMPROVED PERFORMANCE OF SPARSELY INITIALIZED NETWORKS VIA A SUBSPACE OFFSET
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2022 |
PRICE, ILAN |
A GENERAL FRAMEWORK FOR DETECTING ANOMALOUS INPUTS TO DNN CLASSIFIERS
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2022 |
RAGHURAM, JAYARAM |
END-TO-END LEARNING OF COHERENT PROBABILISTIC FORECASTS FOR HIERARCHICAL TIME SERIES
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2022 |
RANGAPURAM, SYAMA SUNDAR |
DIFFERENTIALLY PRIVATE SLICED WASSERSTEIN DISTANCE
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2022 |
RAKOTOMAMONJY, ALAIN |
DISENTANGLING LABELING AND SAMPLING BIAS FOR LEARNING IN LARGE-OUTPUT SPACES
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2022 |
RAWAT, ANKIT SINGH |
GLOBAL INDUCING POINT VARIATIONAL POSTERIORS FOR BAYESIAN NEURAL NETWORKS AND DEEP GAUSSIAN PROCESSES
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2022 |
OBER, SEBASTIAN W. |
MODELLING BEHAVIOURAL DIVERSITY FOR LEARNING IN OPEN-ENDED GAMES
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2022 |
NIEVES, NICOLAS PEREZ |
GRAD-TTS: A DIFFUSION PROBABILISTIC MODEL FOR TEXT-TO-SPEECH
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2022 |
POPOV, VADIM |
ON REWARD-FREE RL WITH KERNEL AND NEURAL FUNCTION APPROXIMATIONS: SINGLE-AGENT MDP AND MARKOV GAME
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2022 |
QIU, SHUANG |
SMOOTH P-WASSERSTEIN DISTANCE: STRUCTURE, EMPIRICAL APPROXIMATION, AND STATISTICAL APPLICATIONS
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2022 |
NIETERT, SLOAN |
THE IMPACT OF RECORD LINKAGE ON LEARNING FROM FEATURE PARTITIONED DATA
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2022 |
NOCK, RICHARD |
REGULARIZING TOWARDS CAUSAL INVARIANCE: LINEAR MODELS WITH PROXIES
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2022 |
OBERST, MICHAEL |
RNN WITH PARTICLE FLOW FOR PROBABILISTIC SPATIO-TEMPORAL FORECASTING
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2022 |
PAL, SOUMYASUNDAR |
PRIVACY-PRESERVING VIDEO CLASSIFICATION WITH CONVOLUTIONAL NEURAL NETWORKS
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2022 |
PENTYALA, SIKHA |
OPTIMIZATION PLANNING FOR 3D CONVNETS
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2022 |
QIU, ZHAOFAN |