• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 21 matches

• 2024
• 
  Vaneet Aggarwal, Washim Uddin Mondal, Qinbo Bai:
  Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms. Found. Trends Optim. 6(4): 193-298 (2024)
• 
  Bernhard Jaeger, Andreas Geiger:
  An Invitation to Deep Reinforcement Learning. Found. Trends Optim. 7(1): 1-80 (2024)
• 
  Guanghui Lan, Alexander Shapiro:
  Numerical Methods for Convex Multistage Stochastic Optimization. Found. Trends Optim. 6(2): 63-144 (2024)
• 
  Kenneth Lange:
  A Tutorial on Hadamard Semidifferentials. Found. Trends Optim. 6(1): 1-62 (2024)
• 
  Deming Yuan, Alexandre Proutière, Guodong Shi:
  Multi-agent Online Optimization. Found. Trends Optim. 7(2-3): 81-263 (2024)
• 
  Yi Zhou, Shaocong Ma:
  Stochastic Optimization Methods for Policy Evaluation in Reinforcement Learning. Found. Trends Optim. 6(3): 145-192 (2024)
• 2023
• 
  Sungjin Im, Ravi Kumar, Silvio Lattanzi, Benjamin Moseley, Sergei Vassilvitskii:
  Massively Parallel Computation: Algorithms and Applications. Found. Trends Optim. 5(4): 340-417 (2023)
• 2022
• 
  David B. Brown, James E. Smith:
  Information Relaxations and Duality in Stochastic Dynamic Programs: A Review and Tutorial. Found. Trends Optim. 5(3): 246-339 (2022)
• 2021
• 
  Changliu Liu, Tomer Arnon, Christopher Lazarus, Christopher A. Strong, Clark W. Barrett, Mykel J. Kochenderfer:
  Algorithms for Verifying Deep Neural Networks. Found. Trends Optim. 4(3-4): 244-404 (2021)
• 
  Alexandre d'Aspremont, Damien Scieur, Adrien B. Taylor:
  Acceleration Methods. Found. Trends Optim. 5(1-2): 1-245 (2021)
• 2020
• 
  Ruidi Chen, Ioannis Ch. Paschalidis:
  Distributionally Robust Learning. Found. Trends Optim. 4(1-2): 1-243 (2020)
• 
  Zhenan Fan, Halyun Jeong, Yifan Sun, Michael P. Friedlander:
  Atomic Decomposition via Polar Alignment: The Geometry of Structured Optimization. Found. Trends Optim. 3(4): 280-366 (2020)
• 2018
• 
  Konstantinos Benidis, Yiyong Feng, Daniel P. Palomar:
  Optimization Methods for Financial Index Tracking: From Theory to Practice. Found. Trends Optim. 3(3): 171-279 (2018)
• 2017
• 
  Stephen P. Boyd, Enzo Busseti, Steven Diamond, Ronald N. Kahn, Kwangmoo Koh, Peter Nystrup, Jan Speth:
  Multi-Period Trading via Convex Optimization. Found. Trends Optim. 3(1): 1-76 (2017)
• 
  Dmitriy Drusvyatskiy, Henry Wolkowicz:
  The Many Faces of Degeneracy in Conic Optimization. Found. Trends Optim. 3(2): 77-170 (2017)
• 2016
• 
  Elad Hazan:
  Introduction to Online Convex Optimization. Found. Trends Optim. 2(3-4): 157-325 (2016)
• 
  Alex Lemon, Anthony Man-Cho So, Yinyu Ye:
  Low-Rank Semidefinite Programming: Theory and Applications. Found. Trends Optim. 2(1-2): 1-156 (2016)
• 2015
• 
  Lieven Vandenberghe, Martin S. Andersen:
  Chordal Graphs and Semidefinite Optimization. Found. Trends Optim. 1(4): 241-433 (2015)
• 2014
• 
  Stephen P. Boyd, Mark T. Müller, Brendan O'Donoghue, Yang Wang:
  Performance Bounds and Suboptimal Policies for Multi-Period Investment. Found. Trends Optim. 1(1): 1-72 (2014)
• 
  Matt Kraning, Eric Chu, Javad Lavaei, Stephen P. Boyd:
  Dynamic Network Energy Management via Proximal Message Passing. Found. Trends Optim. 1(2): 73-126 (2014)
• 
  Neal Parikh, Stephen P. Boyd:
  Proximal Algorithms. Found. Trends Optim. 1(3): 127-239 (2014)