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Poster
Wed 18:30 A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot · Vinicius Zambaldi · Audrunas Gruslys · Angeliki Lazaridou · Karl Tuyls · Julien Perolat · David Silver · Thore Graepel
Poster
Mon 18:30 Structured Bayesian Pruning via Log-Normal Multiplicative Noise
Kirill Neklyudov · Dmitry Molchanov · Arsenii Ashukha · Dmitry Vetrov
Poster
Tue 18:30 Convolutional Phase Retrieval
Qing Qu · Yuqian Zhang · Yonina Eldar · John Wright
Poster
Mon 18:30 First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization
Aryan Mokhtari · Alejandro Ribeiro
Poster
Tue 18:30 Multi-Objective Non-parametric Sequential Prediction
Guy Uziel · Ran El-Yaniv
Poster
Tue 18:30 On Optimal Generalizability in Parametric Learning
Ahmad Beirami · Meisam Razaviyayn · Shahin Shahrampour · Vahid Tarokh
Poster
Wed 18:30 Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM
Katrina Ligett · Seth Neel · Aaron Roth · Bo Waggoner · Steven Wu
Poster
Tue 18:30 On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm
Masaaki Imaizumi · Takanori Maehara · Kohei Hayashi
Poster
Wed 18:30 The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia C Wilson · Becca Roelofs · Mitchell Stern · Nati Srebro · Benjamin Recht
Poster
Tue 18:30 Consistent Robust Regression
Kush Bhatia · Prateek Jain · Parameswaran Kamalaruban · Purushottam Kar
Poster
Wed 18:30 Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
Noga Alon · Moshe Babaioff · Yannai A. Gonczarowski · Yishay Mansour · Shay Moran · Amir Yehudayoff
Poster
Tue 18:30 On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models
Adarsh Prasad · Alexandru Niculescu-Mizil · Pradeep Ravikumar