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2021 |
Ren, Simiao |
DEEP RECONSTRUCTION OF STRANGE ATTRACTORS FROM TIME SERIES
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2021 |
Gilpin, William |
HARD SHAPE-CONSTRAINED KERNEL MACHINES
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2021 |
Aubin-Frankowski, Pierre-Cyril |
ON THE VALUE OF OUT-OF-DISTRIBUTION TESTING: AN EXAMPLE OF GOODHART'S LAW
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2021 |
Teney, Damien |
LEARNING MANIFOLD IMPLICITLY VIA EXPLICIT HEAT-KERNEL LEARNING
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2021 |
Zhou, Yufan |
SUBMODULAR MAXIMIZATION THROUGH BARRIER FUNCTIONS
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2021 |
Badanidiyuru, Ashwinkumar |
RANKMAX: AN ADAPTIVE PROJECTION ALTERNATIVE TO THE SOFTMAX FUNCTION
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2021 |
Kong, Weiwei |
A GRAPH SIMILARITY FOR DEEP LEARNING
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2021 |
Ok, Seongmin |
NEURAL METHODS FOR POINT-WISE DEPENDENCY ESTIMATION
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2021 |
Tsai, Yao-Hung Hubert |
BACKPROPAGATING LINEARLY IMPROVES TRANSFERABILITY OF ADVERSARIAL EXAMPLES
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2021 |
Guo, Yiwen |
FOURIER SPARSE LEVERAGE SCORES AND APPROXIMATE KERNEL LEARNING
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2021 |
Erdelyi, Tamas |
IMPROVED ALGORITHMS FOR ONLINE SUBMODULAR MAXIMIZATION VIA FIRST-ORDER REGRET BOUNDS
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2021 |
Harvey, Nicholas |
TRADING PERSONALIZATION FOR ACCURACY: DATA DEBUGGING IN COLLABORATIVE FILTERING
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2021 |
Chen, Long |
RECIPROCAL ADVERSARIAL LEARNING VIA CHARACTERISTIC FUNCTIONS
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2021 |
Li, Shengxi |
IMPROVING LOCAL IDENTIFIABILITY IN PROBABILISTIC BOX EMBEDDINGS
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2021 |
Dasgupta, Shib |
THE STATISTICAL COMPLEXITY OF EARLY-STOPPED MIRROR DESCENT
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2021 |
Vaskevicius, Tomas |
A CAUSAL VIEW ON ROBUSTNESS OF NEURAL NETWORKS
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2021 |
Zhang, Cheng |
MINIMAX CLASSIFICATION WITH 0-1 LOSS AND PERFORMANCE GUARANTEES
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2021 |
Mazuelas, Santiago |
HOW TO LEARN A USEFUL CRITIC? MODEL-BASED ACTION-GRADIENT-ESTIMATOR POLICY OPTIMIZATION
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2021 |
D'Oro, Pierluca |
EFFICIENT CONTEXTUAL BANDITS WITH CONTINUOUS ACTIONS
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2021 |
Majzoubi, Maryam |