POPL 2024 (series) / LAFI 2024 (series) / LAFI 2024 / Abstract Interpretation for Automatic Differentiation
Abstract Interpretation for Automatic DifferentiationOnline
Sun 14 Jan 2024 15:20 - 15:30 at Kelvin Lecture - Third Session Chair(s): Steven Holtzen, Matthijs Vákár
Despite the fact that Automatic Differentiation (AD) underlies much of machine learning, scientific computing and graphics, static analyses of AD code has been limited. In this position paper, we argue why AD code needs precise, general and scalable abstract interpretation and why this abstract interpretation should leverage the specific structure inherent to AD. Lastly, we demonstrate a new use of abstract interpretation of AD to analyze Coordinate MLPs from Graphics, attaining orders of magnitude more precision than prior work.
Sun 14 JanDisplayed time zone: London change
Sun 14 Jan
Displayed time zone: London change
14:00 - 15:30 | Third SessionLAFI at Kelvin Lecture Chair(s): Steven Holtzen Northeastern University, Matthijs Vákár Utrecht University | ||
14:00 10mTalk | Effect Handlers for Choice-Based Learning LAFI File Attached | ||
14:10 10mTalk | Guaranteed Bounds for Discrete Probabilistic Programs with Loops via Generating Functions LAFI File Attached | ||
14:20 10mTalk | JuliaBUGS: A Graph-Based Probabilistic Programming Language using BUGS syntax LAFI Xianda Sun University of Cambridge, Philipp Gabler Independent researcher, Andrew Thomas University of Cambridge, Hong Ge University of Cambridge | ||
14:30 10mTalk | Mixture Languages LAFI File Attached | ||
14:40 10mTalk | Structured Tensor Algebra for Efficient Discrete Probabilistic Inference LAFI Amir Shaikhha University of Edinburgh | ||
14:50 10mTalk | Towards a Categorical Model of the Lilac Separation Logic LAFI John Li Northeastern University, Jon Aytac Sandia National Laboratories, Philip Johnson-Freyd Sandia National Laboratories, Amal Ahmed Northeastern University, USA, Steven Holtzen Northeastern University File Attached | ||
15:00 10mTalk | Toward Probabilistic Coarse-to-Fine Program Synthesis LAFI Maddy Bowers Massachusetts Institute of Technology, Alexander K. Lew Massachusetts Institute of Technology, Vikash K. Mansinghka Massachusetts Institute of Technology, Joshua B. Tenenbaum Massachusetts Institute of Technology, Armando Solar-Lezama Massachusetts Institute of Technology | ||
15:10 10mTalk | Static Posterior Inference of Bayesian Probabilistic Programming via Polynomial SolvingOnline LAFI Peixin Wang University of Oxford, Hongfei Fu Shanghai Jiao Tong University, Tengshun Yang SKLCS, Institute of Software, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Guanyan Li University of Oxford, C.-H. Luke Ong NTU | ||
15:20 10mTalk | Abstract Interpretation for Automatic DifferentiationOnline LAFI Jacob Laurel University of Illinois at Urbana-Champaign, Siyuan Brant Qian University of Illinois at Urbana-Champaign; Zhejiang University, Gagandeep Singh University of Illinois at Urbana-Champaign; VMware Research, Sasa Misailovic University of Illinois at Urbana-Champaign | ||