Accelerating EM: An Empirical Study. - Luis E. Ortiz; Leslie Pack Kaelbling (UAI, 1999)

Sampling Methods for Action Selection in Influence Diagrams. - Luis E. Ortiz; Leslie Pack Kaelbling (AAAI/IAAI, 2000)

Computing Global Strategies for Multi-Market Commodity Trading. - Milos Hauskrecht; Luis E. Ortiz; Ioannis Tsochantaridis; Eli Upfal (AIPS, 2000)

Adaptive Importance Sampling for Estimation in Structured Domains. - Luis E. Ortiz; Leslie Pack Kaelbling (UAI, 2000)

Value-Directed Sampling Methods for POMDPs. - Pascal Poupart; Luis E. Ortiz; Craig Boutilier (UAI, 2001)

Efficient Methods for Computing Investment Strategies for Multi-Market Commodity Trading. - Milos Hauskrecht; Luis E. Ortiz; Ioannis Tsochantaridis; Eli Upfal (Appl. Artif. Intell., 2001)

Nash Propagation for Loopy Graphical Games. - Luis E. Ortiz; Michael J. Kearns (NIPS, 2002)

Selecting Approximately-optimal Actions in Complex Structured Domains. - Luis E. Ortiz (2002)

Algorithms for Interdependent Security Games. - Michael J. Kearns; Luis E. Ortiz (NIPS, 2003)

Correlated equilibria in graphical games. - Sham M. Kakade; Michael J. Kearns; John Langford 001; Luis E. Ortiz (EC, 2003)

The Penn-Lehman Automated Trading Project. - Michael J. Kearns; Luis E. Ortiz (IEEE Intell. Syst., 2003)

Concentration Inequalities for the Missing Mass and for Histogram Rule Error. - David A. McAllester; Luis E. Ortiz (J. Mach. Learn. Res., 2003)

Graphical Economics. - Sham M. Kakade; Michael J. Kearns; Luis E. Ortiz (COLT, 2004)

Economic Properties of Social Networks. - Sham M. Kakade; Michael J. Kearns; Luis E. Ortiz; Robin Pemantle; Siddharth Suri (NIPS, 2004)

Competitive algorithms for VWAP and limit order trading. - Sham M. Kakade; Michael J. Kearns; Yishay Mansour; Luis E. Ortiz (EC, 2004)

Game Theoretic Algorithms for Protein-DNA binding. - Luis Pérez-Breva; Luis E. Ortiz; Chen-Hsiang Yeang; Tommi S. Jaakkola (NIPS, 2006)

CPR for CSPs: A Probabilistic Relaxation of Constraint Propagation. - Luis E. Ortiz (NIPS, 2007)

Maximum Entropy Correlated Equilibria. - Luis E. Ortiz; Robert E. Schapire; Sham M. Kakade (AISTATS, 2007)

Sparse and Locally Constant Gaussian Graphical Models. - Jean Honorio; Luis E. Ortiz; Dimitris Samaras; Nikos Paragios; Rita Z. Goldstein (NIPS, 2009)

A Game-Theoretic Approach to Influence in Networks. - Mohammad Tanvir Irfan; Luis E. Ortiz (AAAI, 2011)

WiGEM: a learning-based approach for indoor localization. - Abhishek Goswami; Luis E. Ortiz; Samir R. Das (CoNEXT, 2011)

Who are you with and where are you going? - Kota Yamaguchi; Alexander C. Berg; Luis E. Ortiz; Tamara L. Berg (CVPR, 2011)

Parsing clothing in fashion photographs. - Kota Yamaguchi; M. Hadi Kiapour; Luis E. Ortiz; Tamara L. Berg (CVPR, 2012)

Interdependent Defense Games: Modeling Interdependent Security under Deliberate Attacks. - Hau Chan; Michael Ceyko; Luis E. Ortiz (UAI, 2012)

On the Convergence Properties of Optimal AdaBoost - Joshua Belanich; Luis E. Ortiz (CoRR, 2012)

Learning probabilistic models of cellular network traffic with applications to resource management. - Utpal Paul; Luis E. Ortiz; Samir Ranjan Das; Giordano Fusco; Milind Madhav Buddhikot (DySPAN, 2014)

Chic or Social: Visual Popularity Analysis in Online Fashion Networks. - Kota Yamaguchi; Tamara L. Berg; Luis E. Ortiz (ACM Multimedia, 2014)

Computing Nash Equilibria in Generalized Interdependent Security Games. - Hau Chan; Luis E. Ortiz (NIPS, 2014)

Causal Strategic Inference in Networked Microfinance Economies. - Mohammad Tanvir Irfan; Luis E. Ortiz (NIPS, 2014)

On influence, stable behavior, and the most influential individuals in networks: A game-theoretic approach. - Mohammad Tanvir Irfan; Luis E. Ortiz (Artif. Intell., 2014)

Computing Nash Equilibrium in Interdependent Defense Games. - Hau Chan; Luis E. Ortiz (AAAI, 2015)

Network-side positioning of cellular-band devices with minimal effort. - Ayon Chakraborty; Luis E. Ortiz; Samir R. Das (INFOCOM, 2015)

Some Open Problems in Optimal AdaBoost and Decision Stumps. - Joshua Belanich; Luis E. Ortiz (CoRR, 2015)

Graphical Potential Games. - Luis E. Ortiz (CoRR, 2015)

Learning the structure and parameters of large-population graphical games from behavioral data. - Jean Honorio; Luis E. Ortiz (J. Mach. Learn. Res., 2015)

Retrieving Similar Styles to Parse Clothing. - Kota Yamaguchi; M. Hadi Kiapour; Luis E. Ortiz; Tamara L. Berg (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Correlated Equilibria for Approximate Variational Inference in MRFs. - Luis E. Ortiz; Ze Gong (CoRR, 2016)

FPTAS for Mixed-Strategy Nash Equilibria in Tree Graphical Games and Their Generalizations. - Luis E. Ortiz; Mohammad Tanvir Irfan (CoRR, 2016)

Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree Structure. - Luis E. Ortiz; Mohammad Tanvir Irfan (AAAI, 2017)

Interdependent Defense Games with Applications to Internet Security at the Level of Autonomous Systems. - Hau Chan; Michael Ceyko; Luis E. Ortiz (Games, 2017)

Learning Game-theoretic Models from Aggregate Behavioral Data with Applications to Vaccination Rates in Public Health. - Hau Chan; Luis E. Ortiz (AAMAS, 2018)

A Versatile Method for Depth Data Error Estimation in RGB-D Sensors. - Elizabeth V. Cabrera; Luis E. Ortiz; Bruno Marques Ferreira da Silva; Esteban Walter Gonzalez Clua; Luiz M. G. Gonçalves (Sensors, 2018)

Causal Strategic Inference in a Game - Theoretic Model of Multiplayer Networked Microfinance Markets. - Mohammad Tanvir Irfan; Luis E. Ortiz (ACM Trans. Economics and Comput., 2018)

Longitudinal Position Control for Highway On-Ramp Merging: A Multi-Agent Approach to Automated Driving. - Larry Schester; Luis E. Ortiz (ITSC, 2019)

Correlated Equilibria for Approximate Variational Inference in MRFs. - Luis E. Ortiz; Boshen Wang; Ze Gong (PGM, 2020)

Sensing Physiological Change and Mental Stress in Older Adults From Hot Weather. - So-Min Cheong; Carlos Bautista; Luis E. Ortiz (IEEE Access, 2020)

On Sparse Discretization for Graphical Games. - Luis E. Ortiz (J. Artif. Intell. Res., 2020)

Automated Driving Highway Traffic Merging using Deep Multi-Agent Reinforcement Learning in Continuous State-Action Spaces. - Larry Schester; Luis E. Ortiz (IV, 2021)

Smart Artificial Markers for Accurate Visual Mapping and Localization. - Luis E. Ortiz; Elizabeth V. Cabrera-Avila; Bruno Marques Ferreira da Silva; Luiz M. G. Gonçalves (Sensors, 2021)

A Machine Learning Approach to Detect Strategic Behavior from Large-Population Observational Data Applied to Game Mode Prediction on a Team-Based Video Game. - Boshen Wang; Luis E. Ortiz (CoRR, 2024)

A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry. - Larry Schester; Luis E. Ortiz (CoRR, 2024)