Papers
A Credit Assignment Compiler for Joint Prediction
Kai-Wei Chang, He He, Stephane Ross et al.
Active Learning from Imperfect Labelers
Songbai Yan, Kamalika Chaudhuri, Tara Javidi
Active Learning with Oracle Epiphany
Tzu-Kuo Huang, Lihong Li, Ara Vartanian et al.
Active Nearest-Neighbor Learning in Metric Spaces
Aryeh Kontorovich, Sivan Sabato, Ruth Urner
Adaptive Averaging in Accelerated Descent Dynamics
Walid Krichene, Alexandre Bayen, Peter L Bartlett
Adaptive Concentration Inequalities for Sequential Decision Problems
Shengjia Zhao, Enze Zhou, Ashish Sabharwal et al.
Adaptive Maximization of Pointwise Submodular Functions With Budget Constraint
Nguyen Cuong, Huan Xu
Adaptive Neural Compilation
Rudy R Bunel, Alban Desmaison, Pawan K Mudigonda et al.
Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy
Aryan Mokhtari, Hadi Daneshmand, Aurelien Lucchi et al.
Adaptive optimal training of animal behavior
Ji Hyun Bak, Jung Yoon Choi, Athena Akrami et al.
Adaptive Skills Adaptive Partitions (ASAP)
Daniel J Mankowitz, Timothy A Mann, Shie Mannor
Adaptive Smoothed Online Multi-Task Learning
Keerthiram Murugesan, Hanxiao Liu, Jaime Carbonell et al.
Adversarial Multiclass Classification: A Risk Minimization Perspective
Rizal Fathony, Anqi Liu, Kaiser Asif et al.
A forward model at Purkinje cell synapses facilitates cerebellar anticipatory control
Ivan Herreros, Xerxes Arsiwalla, Paul Verschure
Agnostic Estimation for Misspecified Phase Retrieval Models
Matey Neykov, Zhaoran Wang, Han Liu
Algorithms and matching lower bounds for approximately-convex optimization
Andrej Risteski, Yuanzhi Li
A Locally Adaptive Normal Distribution
Georgios Arvanitidis, Lars K. Hansen, Søren Hauberg
A Minimax Approach to Supervised Learning
Farzan Farnia, David Tse
A Multi-Batch L-BFGS Method for Machine Learning
Albert S Berahas, Jorge Nocedal, Martin Takac
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization
Jingwei Liang, Jalal Fadili, Gabriel Peyré
An algorithm for L1 nearest neighbor search via monotonic embedding
Xinan Wang, Sanjoy Dasgupta
An Architecture for Deep, Hierarchical Generative Models
Philip Bachman
Ancestral Causal Inference
Sara Magliacane, Tom Claassen, Joris M. Mooij
Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm
Kejun Huang, Xiao Fu, Nikolaos D. Sidiropoulos
An Efficient Streaming Algorithm for the Submodular Cover Problem
Ashkan Norouzi-Fard, Abbas Bazzi, Ilija Bogunovic et al.