2019

(forthcoming) Yale (03/2020)

Oct 2019, Stanford GSB; U Chicago Econometrics Seminar; Network Econometrics (Kellogg, Northwestern)

-- Randomization Tests of Causal Effects Under General Interference

Sep 2019, Statistics@5 -- Life After Bootstrap: Residual Randomization Inference in Regression Models

Jul 2019, JSM'19 -- Convergence diagnostics with stochastic gradient descent

Jul 2019, Two-Sigma (NYC) -- Life After Bootstrap: Residual Randomization Inference in Regression Models

April 2019, GraphEx Symposium (Lincoln Labs, MIT) -- Randomization Tests of Causal Effects Under General Interference.

2018

Dec. 2018, CMStatistics Conference (Pisa, Italy) -- Statistics of stochastic gradient descent: Stability, efficiency, and inference.

Nov. 2018, Quantitative Methods Workshop, U. Chicago -- Randomization inference of causal effects under interference.

Oct., 2018, Department of Statistics Seminar, U. Chicago -- (see above)

Oct., 2018, Conference on Advances with Field Experiments (Boston, USA) -- Testing spillover effects on student absenteeism. (www)

Sept. 2018, Temple University, Data Science Seminar -- Long-term Causal Effects via Behavioral Game Theory.

Aug. 2018, DIMACS (link) -- Statistical properties of stochastic gradient descent.

Aug. 2018, Causal Workshop at Uncertainty in Artificial Intelligence (UAI) -- Organizer (link)

July 2018, JSM 2018 -- Randomization tests under interference with conditioning mechanisms.

May 2018, American Causal Inference Conference (ACIC'18@CMU) -- Randomization tests under interference with conditioning mechanisms.

2017

Nov. 2017, Department of Statistics and Data Sciences (UT, Austin) -- Conditional randomization tests for causal inference with interference via conditioning mechanisms.

Nov. 2017, IBM Thomas J. Watson Research Center -- Convergence diagnostics for stochastic gradient descent with constant step size.

July 2017, Political Methodology Conference (PolMeth, 2017) -- Exact tests for causal effects in two-stage randomization in the presence of interference.

May 2017, Working Group in Econometrics (U Chicago, Economics) -- (see above)

May 2017, Working Group in Econometrics (U Chicago, Economics) -- Review of stochastic optimization with emphasis on common models and tasks in econometrics.

Apr. 2017, ForecastNY conference (Microsoft Tech Center, NY) -- Implicit methods in stochastic gradient descent for robust estimation with massive data.

Mar. 2017, Toyota Technology Institute (TTI, Chicago, USA) -- Statistical inference with stochastic gradient descent.

Feb. 2017, Duke University (Durham, USA) -- Asymptotic and finite-sample properties of estimators based on stochastic gradients.

Jan. 2017, American Economic Association meeting (AEA'17, Chicago, USA) -- Comment on paper by S. Athey et. al. Schedule | Slides.

2016-

Dec. 2016, What-If Causality Workshop (NIPS'16, Barcelona, Spain) -- Long-term causal effects via behavioral game theory.

Nov. 2016, Athens University of Economics and Business (AUEB, Athens, Greece) -- Fundamental concepts in statistical causal inference.

May, 2016, American Causal Inference Conference (ACIC'16) -- Computational and Methodological Challenges of Causal Inference in Networks.

June, 2015, Workshop on Algorithmic Game Theory and Data Science (EC'15) -- Long-term Causal Effects of Interventions in Multiagent Economic Mechanisms.

Oct. 2015, Conference on Digital Experimentation (CODE, MIT) -- Causal inference in multi-agent economies.

Oct. 2014, Conference on Digital Experimentation (CODE, MIT) -- Incentive-compatible experimental design.

June, 2014, International Conference in Machine Learning (ICML'14) -- Statistical analysis of stochastic gradient methods for GLMs.