NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (67)

cs.LG2019

Inferring Multidimensional Rates of Aging from Cross-Sectional Data

Emma Pierson, Pang Wei Koh, Tatsunori Hashimoto +4

stat.ML2013

Dropout Training as Adaptive Regularization

Stefan Wager, Sida Wang, Percy Liang

cs.LG2019

Defending against Whitebox Adversarial Attacks via Randomized Discretization

Yuchen Zhang, Percy Liang

cs.CL2018

Transforming Question Answering Datasets Into Natural Language Inference Datasets

Dorottya Demszky, Kelvin Guu, Percy Liang

cs.CL2018

Generating Sentences by Editing Prototypes

Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren +1

cs.CL2018

Planning, Inference and Pragmatics in Sequential Language Games

Fereshte Khani, Noah D. Goodman, Percy Liang

cs.LG2016

Convexified Convolutional Neural Networks

Yuchen Zhang, Percy Liang, Martin J. Wainwright

cs.LG2016

Unsupervised Risk Estimation Using Only Conditional Independence Structure

Jacob Steinhardt, Percy Liang

stat.ML2016

Data Augmentation via Levy Processes

Stefan Wager, William Fithian, Percy Liang

cs.LG2015

Learning Fast-Mixing Models for Structured Prediction

Jacob Steinhardt, Percy Liang

cs.CL2019

Unifying Human and Statistical Evaluation for Natural Language Generation

Tatsunori B. Hashimoto, Hugh Zhang, Percy Liang

math.ST2014

The Statistics of Streaming Sparse Regression

Jacob Steinhardt, Stefan Wager, Percy Liang

cs.LG2015

Tensor Factorization via Matrix Factorization

Volodymyr Kuleshov, Arun Tejasvi Chaganty, Percy Liang

cs.CL2015

Compositional Semantic Parsing on Semi-Structured Tables

Panupong Pasupat, Percy Liang

cs.CL2018

Know What You Don't Know: Unanswerable Questions for SQuAD

Pranav Rajpurkar, Robin Jia, Percy Liang

cs.AI2017

From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood

Kelvin Guu, Panupong Pasupat, Evan Zheran Liu +1

cs.CL2018

Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer

Juncen Li, Robin Jia, He He +1

cs.CL2016

Learning Executable Semantic Parsers for Natural Language Understanding

Percy Liang

cs.CL2016

Learning Language Games through Interaction

Sida I. Wang, Percy Liang, Christopher D. Manning

cs.AI2015

On-the-Job Learning with Bayesian Decision Theory

Keenon Werling, Arun Chaganty, Percy Liang +1

cs.LG2016

Unanimous Prediction for 100% Precision with Application to Learning Semantic Mappings

Fereshte Khani, Martin Rinard, Percy Liang

cs.LG2017

Certified Defenses for Data Poisoning Attacks

Jacob Steinhardt, Pang Wei Koh, Percy Liang

cs.LG2018

Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss

Stephen Mussmann, Percy Liang

cs.CL2018

The price of debiasing automatic metrics in natural language evaluation

Arun Tejasvi Chaganty, Stephen Mussman, Percy Liang

cs.LG2018

A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics

Yuchen Zhang, Percy Liang, Moses Charikar

cs.CL2018

Mapping Natural Language Commands to Web Elements

Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu +2

cs.PL2017

Synthesizing Program Input Grammars

Osbert Bastani, Rahul Sharma, Alex Aiken +1

cs.CL2018

QuAC : Question Answering in Context

Eunsol Choi, He He, Mohit Iyyer +5

cs.LG2015

Reified Context Models

Jacob Steinhardt, Percy Liang

cs.LG2018

Prediction with a Short Memory

Vatsal Sharan, Sham Kakade, Percy Liang +1

stat.ML2018

Fairness Without Demographics in Repeated Loss Minimization

Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong +1

cs.PL2018

Active Learning of Points-To Specifications

Osbert Bastani, Rahul Sharma, Alex Aiken +1

cs.LG2018

Semidefinite relaxations for certifying robustness to adversarial examples

Aditi Raghunathan, Jacob Steinhardt, Percy Liang

cs.CL2018

Decoupling Strategy and Generation in Negotiation Dialogues

He He, Derek Chen, Anusha Balakrishnan +1

cs.CL2017

Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings

He He, Anusha Balakrishnan, Mihail Eric +1

cs.CL2016

Inferring Logical Forms From Denotations

Panupong Pasupat, Percy Liang

cs.SE2017

Developing Bug-Free Machine Learning Systems With Formal Mathematics

Daniel Selsam, Percy Liang, David L. Dill

cs.LG2019

SPoC: Search-based Pseudocode to Code

Sumith Kulal, Panupong Pasupat, Kartik Chandra +4

cs.CL2016

SQuAD: 100,000+ Questions for Machine Comprehension of Text

Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev +1

cs.AI2018

Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration

Evan Zheran Liu, Kelvin Guu, Panupong Pasupat +2

cs.CL2017

Naturalizing a Programming Language via Interactive Learning

Sida I. Wang, Samuel Ginn, Percy Liang +1

cs.CL2016

Data Recombination for Neural Semantic Parsing

Robin Jia, Percy Liang

cs.CL2017

Adversarial Examples for Evaluating Reading Comprehension Systems

Robin Jia, Percy Liang

cs.LG2019

Maximum Weighted Loss Discrepancy

Fereshte Khani, Aditi Raghunathan, Percy Liang

cs.AI2018

Generalized Binary Search For Split-Neighborly Problems

Stephen Mussmann, Percy Liang

cs.AI2013

Lambda Dependency-Based Compositional Semantics

Percy Liang

cs.CL2018

Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts

Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning +2

cs.DC2019

Ambitious Data Science Can Be Painless

Hatef Monajemi, Riccardo Murri, Eric Jonas +3

cs.CL2018

Training Classifiers with Natural Language Explanations

Braden Hancock, Paroma Varma, Stephanie Wang +3

cs.AI2011

Learning Dependency-Based Compositional Semantics

Percy Liang, Michael I. Jordan, Dan Klein

stat.ML2016

Estimating Mixture Models via Mixtures of Polynomials

Sida I. Wang, Arun Tejasvi Chaganty, Percy Liang

cs.LG2013

Spectral Experts for Estimating Mixtures of Linear Regressions

Arun Tejasvi Chaganty, Percy Liang

stat.ML2018

A Retrieve-and-Edit Framework for Predicting Structured Outputs

Tatsunori B. Hashimoto, Kelvin Guu, Yonatan Oren +1

cs.AI2019

Learning a SAT Solver from Single-Bit Supervision

Daniel Selsam, Matthew Lamm, Benedikt Bünz +3

stat.ML2017

Unsupervised Transformation Learning via Convex Relaxations

Tatsunori B. Hashimoto, John C. Duchi, Percy Liang

cs.CL2016

How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions

Arun Tejasvi Chaganty, Percy Liang

stat.ML2016

Estimation from Indirect Supervision with Linear Moments

Aditi Raghunathan, Roy Frostig, John Duchi +1

stat.ML2014

Altitude Training: Strong Bounds for Single-Layer Dropout

Stefan Wager, William Fithian, Sida Wang +1

cs.LG2018

On the Relationship between Data Efficiency and Error for Uncertainty Sampling

Stephen Mussmann, Percy Liang

cs.PL2018

FrAngel: Component-Based Synthesis with Control Structures

Kensen Shi, Jacob Steinhardt, Percy Liang

cs.CL2017

Macro Grammars and Holistic Triggering for Efficient Semantic Parsing

Yuchen Zhang, Panupong Pasupat, Percy Liang

cs.CL2019

Pun Generation with Surprise

He He, Nanyun Peng, Percy Liang

cs.LG2018

Learning Overcomplete HMMs

Vatsal Sharan, Sham Kakade, Percy Liang +1

cs.CL2016

Simpler Context-Dependent Logical Forms via Model Projections

Reginald Long, Panupong Pasupat, Percy Liang

stat.ML2012

Identifiability and Unmixing of Latent Parse Trees

Daniel Hsu, Sham M. Kakade, Percy Liang

stat.ML2014

Relaxations for inference in restricted Boltzmann machines

Sida I. Wang, Roy Frostig, Percy Liang +1

cs.CL2015

Traversing Knowledge Graphs in Vector Space

Kelvin Guu, John Miller, Percy Liang