Cornell ORIE Young Researchers Workshop 2021 - group hike

Young Researchers Workshop

Info for speakers
Poster session info
Travel info


Thursday, October 6

Evening reception 5:30 PM - 8:00 PM
Liquid State Brewing Co., 620 West Green Street, Ithaca, NY


Friday, October 7

Start Day in G10 Biotechnology Building

Breakfast and Sign-in  8:15 AM -- 8:45 AM

Welcome and Speakers (3)  8:45 AM – 10:00 AM  Session chair: Jamol Pender  (abstracts can be found here)

  • Yiding Feng, Microsoft Research New England--Batching and Optimal Multi-stage Bipartite Allocations
  • Rohan Ghuge, University of Michigan--The Power of Adaptivity for Stochastic Submodular Cover
  • Sophie Yu, Decision Sciences Area, The Fuqua School of Business, Duke University--Random graph matching at Otter's tree-counting constant in polynomial time

Coffee Break  10:00 AM -- 10:30 AM

Speakers (4)  10:30 AM – 12:00 PM  Session Chair: Omar El Housni   (abstracts can be found here)

  • Sean Sinclair, School of Operations Research and Information Engineering, Cornell University--Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve
  • Bailey Flanigan, Carnegie Mellon Computer Science Department--The impact of altruism on elections
  • Yeganeh Alimohammadi, Stanford, MS&E--Using Network Structure to Estimate Epidemics
  • Leonard Boussioux,MIT, Operations Research Center--Multimodality, models, algorithms, and applications to sustainability

Lunch  12:00 PM – 1:00 PM

Speakers (4)  1:00 PM – 2:30 PM  Session Chair: Manxi Wu  (abstracts can be found here)

  • Yunzong Xu, MIT IDSS--Bypassing the Monster: A Faster and Simpler Optimal Algorithm for Contextual Bandits Under Realizability
  • Yichun Hu, Cornell School of ORIE--Fast Rates for Contextual Linear Optimization
  • Bento Natura, London School of Economics--Interior point methods are not worse than Simplex
  • Yujia Jin, Stanford, Management Science and Engineering--The Complexity of Optimizing Single and Multi-player Games

Transition to Physical Sciences Building 2:30 PM – 3:00 PM

Poster Session I 3:00 PM – 4:00 PM  (See below for a full list of poster presenters and topics)

Poster Session II 4:00 PM – 5:00 PM  (See below for a full list of poster presenters and topics)

Tear Down/Wrap Up 5:00 PM – 5:30 PM

Dinner at Statler Terrace Restaurant  5:30 PM -- 8:00PM


Saturday, October 8

G10 Biotechnology Building

Breakfast and Sign-in  8:15 AM -- 9:00 AM

Speakers (4) 9:00 AM – 10:30 AM  Session Chair: Christina Lee Yu  (abstracts can be found here)

  • Maxine Yu, Department of ORFE at Princeton University--Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instrument
  • Yuling Yan, Princeton University--Model-based Reinforcement Learning for Offline Zero-Sum Markov Games
  • Wenlong Mou, UC Berkeley, Department of EECS--Statistical theory for reinforcement learning: Oracle inequalities, Markov chains, and stochastic approximation
  • Michael Huang, USC Marshall School of Business--Policy Evaluation And Learning In Small-data, Weakly-coupled Settings

Coffee Break  10:30 AM -- 11:00 AM

Speakers (4) 11:00 AM – 12:30 PM  Session Chair: Ruihao Zhu  (abstracts can be found here)

  • Alireza Fallah, MIT--Privacy Mechanisms for Data Markets
  • Daniel Alabi, Computer Science Department and Data Science Institute, Columbia University--Hypothesis Testing for Differentially Private Linear Regression
  • Shuangning Li, Harvard University Department of Statistics--Random Graph Asymptotics for Treatment Effect Estimation under Network Interference
  • Ruoqi Shen, University of Washington, Paul G. Allen School of Computer Science & Engineering--Proximal Framework in Sampling: Structured Logconcave Sampling with a Restricted Gaussian Oracle


Workshop Speakers

Talks are approximately 20 minutes long with questions, leaving a couple of minutes to switch to the next speaker (like the INFORMS model). Please bring your own device to connect to Cornell’s G10 Bio Tech space; a laptop is usually best as USB-C or HDMI connectors will be available on site. Technical assistance will be available to help connect your laptop to the projector and handle any technical problems. We recommend that you also bring your slides on a USB as a backup.  (abstracts can be found here)


Poster Session Information

The Friday, October 7th Poster session will be held from 3 – 5:30 PM in the Baker Atrium and Baker Portico spaces in the Physical Sciences building. Participants can either bring physical copies of posters with them, or bring a digital copy on USB drive and pay to print locally at Cornell University’s Mann LibraryPosters should be at most 36" x 48” (inches).

Poster Session I (3pm-4pm, Friday)

Adit Radhakrishnan

Wide and Deep Neural Networks Achieve Consistency in Classification

Aditi Laddha

Socially Fair Network Design via Iterative Rounding

Arielle Anderer

Multi-Armed Bandit Algorithms with Time-to-Event Data: An application to Clinical Trials

Carlos Martinez

Public Transit Design and Transportation Justice

Chen Cheng

How Many Labelers Do You Have? A Closer Look at Gold-Standard Labels

Chenghuai Li

The Blockchain Newsvendor: Value of Freshness Transparency and Smart Contracts

Connor Lawless

Cluster Explanation via Polyhedral Descriptions

Haoyue Wang

Linear Regression with Partially Mismatched Data: Local Search with Theoretical Guarantees

Hemeng Li

Modeling Volunteer Response in Emergency Medical Services

Jason Gaitonde

The Price of Anarchy in Strategic Queuing Systems

Jiawei Zhao

ZerO Initialization: Initializing Neural Networks with only Zeros and Ones

Jingyan Wang

Modeling and Correcting Bias in Sequential Evaluation

Kwassi Joseph Dzahini

Stochastic trust-region algorithm in random subspaces

Leann Thayaparan

UMOTEM: A Method to Jointly Predict and Optimize Tree Ensembles

Lexiao Lai

Lyapunov stability of the subgradient method with constant step size

Matthew Ford

Automatic Differentiation for Gradient Estimators in Simulation

Meichun Lin

Uncertain Search with Knowledge Transfer

Miaolan Xie

High Probability Complexity Bounds for Line Search Based on Stochastic Oracles

Mik Zlatin

New and Improved Approximation Algorithms for Steiner Tree Augmentation Problems

Mingda Qiao

Online Pen Testing

Mingxi Zhu

How Small Amount of Data Sharing Benefits Distributed Optimization and Learning

Moise Blanchard

Universal learning: when is regression possible?

Neha Sharma

Structuring Online Communities

Nisha Chandramoorthy

On the generalization of learning algorithms that do not converge

Qinyi Chen

Fair Assortment Planning

Rachitesh Kumar

Single-Leg Revenue Management with Advice

Renbo Zhao

Multiplicative Gradient Method: When and Why It Works?

Sajad Khodadadian

Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling

Shengyi He

Adaptive Importance Sampling for Efficient Stochastic Root Finding and Quantile Estimation

Tyler Sam


Vassilis Digalakis

Slowly varying regression under sparsity

Xingyu Bai

Asymptotic Optimality of Semi-Open-Loop Policies in Markov Decision Processes with Large Lead Times



Poster Session II (4pm-5pm, Friday)

Anand Kalvit

Dynamic Learning in Large Matching Markets

Arnab Auddy

Orthogonally Decomposable Tensors in Statistics

Gabriele Dragotto

Mathematical Programming Games

Giorgia Ramponi

Active Exploration for Inverse Reinforcement Learning

Hassan Mortagy

Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes

Kan Xu

Learning across bandit in high dimension via robust statistics

Lisa Hillas

Designing Service Menus for Bipartite Queueing Systems

Masatoshi Uehara

Provably Efficient Reinforcement Learning in POMDPs

Mayleen Cortez-Rodriguez

To Treat or not to Treat, That is the Question

Noemie Perivier

The Power of Greedy for Online Matching on the Line

Qian Xie

Sharp Tradeoffs of Envy and Throughput in Warehouse Inventory Management

Qimeng (Kim) Yu

Strong valid inequalities for a class of concave submodular minimization problems under cardinality constraints

Qing Feng

Phase Transition in Learning and Earning under Price Protection

Raaz Dwivedi

Counterfactual inference in sequential experiments

Sara Fridovich-Keil

Plenoxels: Radiance Fields without Neural Networks

Shengding Sun

Aggregations of quadratic inequalities and hyperplane hidden convexity

Shuvomoy Das Gupta

BnB-PEP: A Unified Methodology for Constructing Optimal Optimization Methods

Tinghan (Joe) Ye

Taxi Routing Optimization

Tobia Marcucci

Shortest paths in graphs of convex sets

Varun Suriyanarayana

Joint Replenishment with Rejection Limits

X.Y. Han

Survey Descent: A Multipoint Generalization Of Gradient Descent For Nonsmooth Optimization

Xiaohe Luo

An Entirely Novel Perspective on Choosing Stepsizes for SGD: Entropy Minimization for Optimization of Expensive, Unimodular Functions

Xuezhou (Jack) Zhang

Representation Transfer in Rich Observation Reinforcement Learning

Xujia Liu

Stochastic Replenishment Systems with Multi-Item Inventory Constraints

Xumei Xi

Geometry and Algorithms in Misspecified Gaussian Mixtures

Yongchun Li

Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees

Yueyang Liu

Nonstationary bandit learning via predictive sampling

Yueyang Zhong

Behavior-Aware Queues with Strategic Customers and Strategic Servers

Yunbei Xu

Bayesian Design Principles for Frequentist Bandit and Reinforcement Learning

Zhe (Jimmy) Zhang

Efficient Methods for Nested Optimization

Zhe Du

Learning to Control Markov Jump Systems in Real-Time


Travel Information

Airplane and Bus

Ithaca Airport: The best option for flying would be arriving at the Ithaca airport.  It is only three miles away from Cornell campus, and an easy taxi/uber/lyft ride to get to and from. Many hotels provide shuttle service to and from the airport as well as around town.

Syracuse Airport: While Syracuse has a lot more flight options, it is a bit over an hour lyft/uber ride to get from Syracuse to Ithaca. You can rent a car via this link.

Other nearby airports (less than an hour drive) are Elmira and Binghamton. Both are quite small.

NYC Airports: The last option would be flying into any of the major NYC airports and taking a bus to Ithaca.  This is the longest option, as most buses from NYC to Ithaca take about 4.5 hours.  Some options on buses include:

-Cornell Campus to Campus: Most comfortable option that leaves from the Cornell Club in midtown NYC and drops you off right on Cornell campus in Ithaca.

-OurBus: Has options leaving from either the George Washington Bridge or Port Authority to downtown Ithaca.  From downtown it is a short cab ride to get to Ithaca.


Ithaca Hotels

Cayuga Blu Hotel

2310 N Triphammer Rd, Ithaca, NY 14850•(607) 257-3100


Courtyard by Marriott Ithaca Airport/University

29 Thornwood Dr, Ithaca, NY 14850•(607) 330-1000


Country Inn & Suites by Radisson, Ithaca, NY

1100 Danby Rd #96b, Ithaca, NY 14850•(607) 252-4791


Fairfield Inn & Suites by Marriott Ithaca

359 Elmira Rd, Ithaca, NY 14850•(607) 277-1000


Hampton Inn Ithaca

337 Elmira Rd, Ithaca, NY 14850•(607) 277-5500


Hotels in the Greater Ithaca Area:

Best Western Plus Finger Lakes Inn & Suites

3175 Fingerlake East Dr, Cortland, NY 13045•(607) 756-2233


Fairfield by Marriott Inn & Suites Cortland

3707 NY-281, Cortland, NY 13045•(607) 299-4455


Hampton Inn Cortland

26 River St, Cortland, NY 13045•(607) 662-0007


Where the Locals Stay: 

The Dorm Hotel

518 Stewart Ave, Ithaca, NY 14850•(607) 319-4611


 Firelight Camps 

1150 Danby Road, Ithaca, NY•(607) 229-1644