Seminars 2023-24

FALL 2023:

Fall 2023 Seminar Instructor: Prof. Xiao Hui Tai

  • Thur, September 28, 4:10pm - MSB 1147 
    • Speaker: Sabyasachi Chatterjee, Univ. Illinois Urbana-Champaign
      • Title: "Theory for Cross Validation in Nonparametric Regression"
      • ABSTRACT
  • Thur, October 5, 4:10pm - MSB 1147 
    • Speaker: Daisuke Kurisu, University of Tokyo (Japan)
      • Title: "Prediction, Inference, and Hypothesis Testing on non-Euclidean Data"
      • ABSTRACT
  • Thur, October 12, 4:10pm - MSB 1147 
    • Speaker: Jingfeng Wu, UC Berkeley
      • Title: "Risk Convergence and Algorithmic Regularization of Discrete-Stepsize (Stochastic) Gradient Descent"
      • ABSTRACT
  • Thur, October 19, 4:10pm - MSB 1147 
    • Speaker: Partha Lahiri, Univ. of Maryland
      • Title: "A Unified Approach to Small Area Estimation for Finite Population Sampling"
      • ABSTRACT
  • Thur, October 26, 4:10pm - MSB 1147 
    • Speaker: Cornelia Ilin, UC Berkeley
      • Title: "Ped-BERT: Early Detection of Diseases for Pediatric Care"
      • ABSTRACT
  • Thur, November 2, 4:10pm - MSB 1147 
    • Speaker: Jun Liu, Harvard Univ.
      • Title: "Modeling, estimation, and applications of generalized heteroscedastic Gaussian processes" (Taehee Lee and Jun S. Liu)
      • ABSTRACT
  • Thur, November 9, 4:10pm - MSB 1147 
    • Speaker: Lan Wang, Univ. Miami
      • Title: "Distributional Off-Policy Evaluation in Reinforcement Learning"
      • ABSTRACT
  • Thur, November 16, 4:10pm - MSB 1147 
    • Speaker: Zhenggang Wang, UC Davis
      • Title: "CLTs for the Sample Covariance Matrices and Covariance Structure Tests in the Ultra-High Dimension"
      • ABSTRACT
  • Thur, November 23 - No Seminar (Thanksgiving)
  • Thur, November 30, 4:10pm - MSB 1147 
    • Speaker: Nitin Kohli, UC Berkeley
      • Title: "Enabling Humanitarian Applications with Targeted Differential Privacy"
      • ABSTRACT
  • Thur, December 7, 4:10pm - MSB 1147 
    • Speaker: Lee Richardson, Google
      • Title: "Proxy Metrics at YouTube"
      • ABSTRACT

WINTER 2024:

Winter 2024 Seminar Instructor: Prof. Spencer Frei.

  • Fri, January 12, 11:00am - MSB 1147
    • Speaker: Christopher Harshaw
      • Title: "Algorithm Design for Randomized Experiments"
      • ABSTRACT
  • Wed, January 17, 1:00pm - MSB 1147
    • Speaker: Tianhao Wang
      • Title: "Algorithm Dynamics in Modern Statistical Learning: Universality and Implicit Regularization"
      • ABSTRACT
  • Fri, January 19, 11:00am - MSB 1147
    • Speaker: Xinwei Shen
      • Title "Distributional Learning for Statistics"
      • ABSTRACT
  • Mon, January 22, 11:00am - MSB 1147
    • Speaker: Ran Chen
      • Title "Doubly High-Dimensional Contextual Bandits: An Interpretable Model for Joint Assortment and Pricing"
      • ABSTRACT
  • Wed, January 24, 11:00am - MSB 1147
    • Speaker: Wenzhuo Zhou
      • Title "Actor-Critic Graph Neural Networks: A Complete Recipe for Neural Decoding"
      • ABSTRACT
  • Fri, January 26, 11:00am - MSB 1147
    • Speaker: Dogyoon Song
      • Title "Advancing prediction for informed decisions"
      • ABSTRACT
  • Mon, January 29, 11:00am - MSB 1147
    • Speaker: Qijia Jiang
      • Title: "Optimization, Sampling Dynamics and Diffusion"
      • ABSTRACT
  • Wed, January 31, 11:00am - MSB 1147
    • Speaker: Dmitriy Kunisky
      • Title: "The computational cost of detecting hidden structures: from random to deterministic"
      • ABSTRACT
  • Fri, February 2, 11:00am - MSB 1147
    • Speaker: Chan Park
      • Title: "Single Proxy (Synthetic) Control"
      • ABSTRACT
  • Mon, February 5, 11:00am - MSB 1147
    • Speaker: Sen Na
      • Title "Practicality meets Optimality: Real-Time Statistical Inference under Complex Constraints"
      • ABSTRACT
  • Thur, February 8, 4:10pm - MSB 1147 
    • Speaker: Jane-Ling Wang, Statistics, UC Davis
      • Title: "Deep learning for survival and functional data"
      • ABSTRACT
  • Thur, February 15, 4:10pm - MSB 1147 
    • Speaker: Song Mei, UC Berkeley
      • Title: "Revisiting neural network approximation theory in the age of generative AI"
      • ABSTRACT
  • Thur, February 22, 4:10pm - MSB 1147 
    • Speaker: Byeong U. Park, Seoul National University, Korea
      • Title: "Efficient Functional Lasso Kernel Smoothing for High-dimensional Additive Regression"
      • ABSTRACT
  • Fri, February 23, 10:30am - MSB 1147
    • Statistics/Linguistics joint seminar
    • Speaker: Isabel Papadimitriou, Stanford University
      • Title: "What can language models tell us about structure in human language, and vice-versa?"
      • ABSTRACT
  • Thur, February 29, 4:10pm - MSB 1147 
    • Speaker: Nikita Zhivotovskiy, UC Berkeley
      • Title: "Does the sequential analysis of estimators lead to sharp statistical guarantees?"
      • ABSTRACT
  • Fri, March 1, 10:30am - MSB 1147
    • Statistics/Linguistics joint seminar
    • Speaker: Chadi Ben Youssef
      • Title:  "Towards interpretable Machine Learning for linguistic analysis: the case of Code-Switching in a low resource language"
      • ABSTRACT
  • Mon, March 4, 2:00pm - SSH 2203
    • Statistics/Linguistics joint seminar
    • Speaker: Rob Voigt
      • Title:  "Linguistic Mechanisms: Data Science for the Social World"
      • ABSTRACT
  • Thur, March 7, 4:10pm - MSB 1147 
    • Speaker: Jingyi Jessica Li, UCLA
      • Title: "ClusterDE: a post-clustering differential expression (DE) method robust to false-positive inflation caused by double dipping"
      • ABSTRACT
  • Fri, March 8, 10:00am - SSH 2203
    • Statistics/Linguistics joint seminar
    • Speaker: Anna Laurinavichyute
      • Title: "A Bayesian computational model of number agreement in sentence processing"
      • ABSTRACT
  • Thur, March 14, 4:10pm - MSB 1147 
    • Speaker: Eric Mazumdar, CalTech
      • Title: "Rethinking Machine Learning for Strategic Environments"
      • ABSTRACT
  • Tue, March 19, 11:00am - MSB 1147 
    • Speaker: Jianqing Fan, Princeton University
      • Title: "Universally Trainable Optimal Prediction Intervals Aggregation"
      • ABSTRACT
  • Wed, March 20, 4:10pm - MSB 1147 
    • Annual UC Berkeley / UC Davis Joint Symposium
    • Speaker: Aditya Guntuboyina, UC Berkeley
      • Title: "Multivariate nonparametric regression using mixed partial derivatives"
      • ABSTRACT

 

SPRING 2024:

Spring Seminar Instructor: Prof. Ricardo Masini. 

  • Thur, April 4, 4:10pm - MSB 1147
    • Speaker: Krishna Balasubramanian (Statistics, UC Davis)
      • Title: "Recent results on the complexity of non-log-concave and heavy-tailed sampling"
      • ABSTRACT
  • Thur, April 11, 4:10pm - MSB 1147
    • Speaker: Alexander Giessing (University of Washington)
      • Title: "Efficient Inference on high-dimensional linear models with missing outcomes"
      • ABSTRACT
  • Thur, April 18, 4:10pm - MSB 1147
    • Speaker: Larry Goldstein (USC - Dornsife)
      • "Classical and Free Zero Bias for Infinite Divisibility"
      • ABSTRACT
  • Thur, April 25, 4:10pm - MSB 1147
    • Speaker: Shu Shen (Economics, UC Davis)
      • Title: "Dynamic Regression Discontinuity Under Treatment Effect Heterogeneity"
      • ABSTRACT
  • Thur, May 2, 4:10pm - MSB 1147 - SEMINAR POSTPONED
    • PLEASE NOTE: This week's seminar by Sebastian Kühnert will be rescheduled to a later date due to the time clash with the Math-Stats Colloquium (see non-STA 290 list at foot of this page, below)
  • Thur, May 9, 4:10pm - MSB 1147
    • Speaker: Zhou Zhou (University of Toronto)
      • Title: "Some Results in Functional Time Series Analysis: from Structural Approximation to Simultaneous Inference"
      • ABSTRACT
  • Thur, May 16, 4:10pm - MSB 1147
    • Speaker: Marcelo Medeiros (University of Illinois Urbana-Champaign)
      • Title: "Cost-aware Portfolios in a Large Universe of Assets
      • ABSTRACT
  • Wed, May 22, 3:10pm - MSB 1143
    • Speaker: Kai Zhang (University of North Carolina, Chapel Hill)
  • Thur, May 23, 2:10pm - MSB 1147 (note, two seminars this day)
    • Speaker: Qiwei Yao (London School of Economics)
      • Title: "Modelling Matrix Time Series via a Tensor CP-Decomposition"
      • ABSTRACT
  • Thur, May 23, 4:10pm - MSB 1147
    • Speaker: Matias Cattaneo (Princeton University)
      • Title : "Adaptive Decision Tree Methods"
      • ABSTRACT
  • Thur, May 30, 3:10pm - MSB 1147 (note, two seminars this day)
    • Speaker: Sebastian Kühnert (Statistics, UC Davis)
      • Title: "An operator-level GARCH model"
      • ABSTRACT
  • Thur, May 30, 4:10pm - MSB 1147
    • Speaker: Samuel Oman (Hebrew University)
      • Title: "Kriging Using James-Stein Estimators which Contract to Subspaces"
      • ABSTRACT
  • Thur, June 6, 4:10pm - MSB 1147
    • Speaker: Xiao Fang (Chinese University of Hong Kong)
      • Title: "High-dimensional Central Limit Theorems by Stein's Method in the Degenerate Case"
      • ABSTRACT

Other Seminars (not part of STA 290 series)

  • Thur, May 2, 4:10pm - MATH-STATS COLLOQUIUM - remote via Zoom
    • Speaker: Mikhail Belkin (Math, UC San Diego)
      • Title: "The Puzzle of Dimensionality and feature learning in neural networks and kernel machines"
      • ABSTRACT
  • Tue, May 7, 12:00pm - BST 290 SEMINAR - MSB 1147
    • Speaker: Ross L. Prentice (Fred Hutchinson Cancer Center & University of Washington)
      • Title: "Nutritional Epidemiology Using Intake Biomarkers"
      • ABSTRACT

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