conftrace_

learning algorithm

48 papers

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Also known as

LA

Co-occurring keywords

game theory (854) online learning (1777) revenue optimization (63) regret bound (1926) learning theory (519) multi-armed bandit (1098) regret minimization (315) sample complexity (1169) no-regret algorithm (36) neural network (6616)

Papers

Information-theoretic analysis of generalization capability of learning algorithms NIPS 2017
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions NIPS 2017
Effective Parallelisation for Machine Learning NIPS 2017
A Guide to Learning Arithmetic Circuits COLT 2016
Learning Algorithms for Second-Price Auctions with Reserve JMLR 2016
Learning in Games: Robustness of Fast Convergence NIPS 2016
Links Between Multiplicity Automata, Observable Operator Models and Predictive State Representations -- a Unified Learning Framework JMLR 2015
Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms NIPS 2014
Exploiting easy data in online optimization NIPS 2014
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers NIPS 2014
Learning Theory and Algorithms for revenue optimization in second price auctions with reserve ICML 2014
Competing With Strategies COLT 2013
No-Regret Algorithms for Unconstrained Online Convex Optimization NIPS 2012
Interpreting prediction markets: a stochastic approach NIPS 2012
Using More Data to Speed-up Training Time AISTATS 2012
Practical Bayesian Optimization of Machine Learning Algorithms NIPS 2012
Minimax Regret of Finite Partial-Monitoring Games in Stochastic Environments COLT 2011
Learning Acyclic Probabilistic Circuits Using Test Paths JMLR 2009
Near-optimal Regret Bounds for Reinforcement Learning NIPS 2008
The Tradeoffs of Large Scale Learning NIPS 2007
The Interplay of Optimization and Machine Learning Research JMLR 2006
Robotic Grasping of Novel Objects NIPS 2006
Tutorial on Practical Prediction Theory for Classification JMLR 2005