Publications (37)
Outbound Modeling for Inventory Management
Riccardo Savorgnan, Udaya Ghai, Carson Eisenach +1
BRIDGE: Building Representations In Domain Guided Program Synthesis
Robert Joseph George, Carson Eisenach, Udaya Ghai +3
Deep Factors for Forecasting
Yuyang Wang, Alex Smola, Danielle C. Maddix +3
A shared-revenue Bertrand game
Raj Pabari, Udaya Ghai, Dominique Perrault-Joncas +6
Contextual Bandits for Evaluating and Improving Inventory Control Policies
Dean Foster, Randy Jia, Dhruv Madeka
Towards Optimal Estimators for Randomized Control Trials
Harsh Parikh, Gabriel Levin-Konigsberg, Nilesh Tripuraneni +5
Online Sparse Linear Regression
Dean Foster, Satyen Kale, Howard Karloff
A Level-Set Hit-and-Run Sampler for Quasi-Concave Distributions
Dean Foster, Shane T. Jensen
Invariances and Data Augmentation for Supervised Music Transcription
John Thickstun, Zaid Harchaoui, Dean Foster +1
Scaling Laws for Imitation Learning in Single-Agent Games
Jens Tuyls, Dhruv Madeka, Kari Torkkola +3
Playing Large Games with Oracles and AI Debate
Xinyi Chen, Angelica Chen, Dean Foster +1
Learning an Inventory Control Policy with General Inventory Arrival Dynamics
Sohrab Andaz, Carson Eisenach, Dhruv Madeka +4
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Yuda Song, Hanlin Zhang, Carson Eisenach +3
Trust but Verify: Prover-Verifier Deliberation for Selective LLM Prediction
João Sedoc, Baotong Zhang, Dean Foster
Efficient RL for optimizing conversation level outcomes with an LLM-based tutor
Hyunji Nam, Omer Gottesman, Amy Zhang +3
A Study on the Calibration of In-context Learning
Hanlin Zhang, Yi-Fan Zhang, Yaodong Yu +5
Variable Selection is Hard
Dean Foster, Howard Karloff, Justin Thaler
Structure-Informed Deep Reinforcement Learning for Inventory Management
Alvaro Maggiar, Sohrab Andaz, Akhil Bagaria +4
On Optimal Retirement (How to Retire Early)
Philip Ernst, Dean Foster, Larry Shepp
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis
Zhuang Ma, Yichao Lu, Dean Foster
No Internal Regret via Neighborhood Watch
Dean Foster, Alexander Rakhlin
Optimal Budgeted Adaptation of Large Language Models
Jing Wang, Jie Shen, Dean Foster +2
Variance Reduced Training with Stratified Sampling for Forecasting Models
Yucheng Lu, Youngsuk Park, Lifan Chen +3
Dynamic Local Regret for Non-convex Online Forecasting
Sergul Aydore, Tianhao Zhu, Dean Foster
Marketplace Operators Can Induce Competitive Pricing
Tiffany Ding, Dominique Perrault-Joncas, Orit Ronen +4
Two Step CCA: A new spectral method for estimating vector models of words
Paramveer Dhillon, Jordan Rodu, Dean Foster +1
Ready from Day 1: Population-Aware Coordination for Large-Scale Constrained Multi-Agent Systems
Angel Wang, Dominique Perrault-Joncas, Alvaro Maggiar +2
Domain Adaptation: Overfitting and Small Sample Statistics
Dean Foster, Sham Kakade, Ruslan Salakhutdinov
Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data
Nilesh Tripuraneni, Dhruv Madeka, Dean Foster +2
A Local Regret in Nonconvex Online Learning
Sergul Aydore, Lee Dicker, Dean Foster
Transfer Learning Using Feature Selection
Paramveer S. Dhillon, Dean Foster, Lyle Ungar
Adaptive Monotone Shrinkage for Regression
Zhuang Ma, Dean Foster, Robert Stine
Semantic Word Clusters Using Signed Normalized Graph Cuts
João Sedoc, Jean Gallier, Lyle Ungar +1
Top-$k$ eXtreme Contextual Bandits with Arm Hierarchy
Rajat Sen, Alexander Rakhlin, Lexing Ying +4
PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing
Justin Chan, Dean Foster, Shyam Gollakota +10
How Does Critical Batch Size Scale in Pre-training?
Hanlin Zhang, Depen Morwani, Nikhil Vyas +5
Neural Coordination and Capacity Control for Inventory Management
Carson Eisenach, Udaya Ghai, Dhruv Madeka +3