Panos Toulis

25 papers A* 3A 5Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
Gaussianized Design Optimization for Covariate Balance in Randomized Experiments.
EC
Wenxuan Guo, Tengyuan Liang, Panos Toulis
2025 J jnl
Stabilizing Temporal Difference Learning via Implicit Stochastic Approximation.
CoRR
Hwanwoo Kim, Panos Toulis, Eric Laber
2023 A conf
"Plus/minus the learning rate": Easy and Scalable Statistical Inference with SGD.
AISTATS
Jerry Chee, Hwanwoo Kim, Panos Toulis
2022 — conf
Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum.
L4DC
Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis
2021 J jnl
Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum.
CoRR
Junhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis
2021 A* conf
Robust Inference for High-Dimensional Linear Models via Residual Randomization.
ICML
Y. Samuel Wang, Si Kai Lee, Panos Toulis, Mladen Kolar
2020 A conf
Dynamical Systems Theory for Causal Inference with Application to Synthetic Control Methods.
AISTATS
Yi Ding, Panos Toulis
2018 A conf
Convergence diagnostics for stochastic gradient descent with constant learning rate.
AISTATS
Jerry Chee, Panos Toulis
2017 J jnl
Convergence diagnostics for stochastic gradient descent with constant step size.
CoRR
Jerry Chee, Panos Toulis
2016 — ch.
Stochastic Gradient Methods for Principled Estimation with Large Datasets.
Handbook of Big Data
Panos Toulis, Edoardo M. Airoldi
2016 A conf
Towards Stability and Optimality in Stochastic Gradient Descent.
AISTATS
Panos Toulis, Dustin Tran, Edoardo M. Airoldi
2015 J jnl
Design and analysis of multi-hospital kidney exchange mechanisms using random graphs.
Games Econ. Behav.
Panos Toulis, David C. Parkes
2015 A* conf
Incentive-Compatible Experimental Design.
EC
Panos Toulis, David C. Parkes, Elery Pfeffer, James Y. Zou
2015 J jnl
Scalable estimation strategies based on stochastic approximations: classical results and new insights.
Stat. Comput.
Panos Toulis, Edoardo M. Airoldi
2015 J jnl
Stability and optimality in stochastic gradient descent.
CoRR
Panos Toulis, Dustin Tran, Edoardo M. Airoldi
2015 J jnl
Statistical inference of long-term causal effects in multiagent systems under the Neyman-Rubin model.
CoRR
Panos Toulis, David C. Parkes
2014 J jnl
Implicit Temporal Differences.
CoRR
Aviv Tamar, Panos Toulis, Shie Mannor, Edoardo M. Airoldi
2014 J jnl
Long-term causal effects of economic mechanisms on agent incentives.
CoRR
Panos Toulis, David C. Parkes
2013 — conf
Estimation of Causal Peer Influence Effects.
ICML (3)
Panos Toulis, Edward K. Kao
2010 J jnl
FaceBots: Steps towards enhanced long-term human-robot interaction by utilizing and publishing online social information.
Paladyn J. Behav. Robotics
Nikolaos Mavridis, Michael Petychakis, Alexandros Tsamakos, Panos Toulis, Shervin Emami, Wajahat Kazmi, Chandan Datta, Chiraz BenAbdelkader, Andry Tanoto
2010 — ch.
Friends with Faces: How Social Networks Can Enhance Face Recognition and Vice Versa.
Computational Social Network Analysis
Nikolaos Mavridis, Wajahat Kazmi, Panos Toulis
2009 J jnl
FaceBots: Steps Towards Enhanced Long-Term Human-Robot Interaction by Utilizing and Publishing Online Social Information
CoRR
Nikolaos Mavridis, Shervin Emami, Chandan Datta, Wajahat Kazmi, Chiraz BenAbdelkader, Panos Toulis, Andry Tanoto, Tamer Rabie
2009 — conf
On the Synergies between Online Social Networking, Face Recognition and Interactive Robotics.
CASoN
Nikolaos Mavridis, Wajahat Kazmi, Panos Toulis, Chiraz BenAbdelkader
2006 — conf
A Long-Term Profit Seeking Strategy for Continuous Double Auctions in a Trading Agent Competition.
SETN
Dionisis D. Kehagias, Panos Toulis, Pericles A. Mitkas
2006 A conf
Mertacor: a successful autonomous trading agent.
AAMAS
Panos Toulis, Dionisis D. Kehagias, Pericles A. Mitkas