ICML 2023 Workshop SODS Submissions

Differentiable Search of Evolutionary Trees
Ramith Hettiarachchi, Avi Z Swartz, Sergey Ovchinnikov
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Diffusion on the Probability Simplex
Griffin Floto, Thorsteinn Jonsson, Mihai Nica, Scott Sanner, Eric Zhengyu Zhu
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
DISCS: A Benchmark for Discrete Sampling
Katayoon Goshvadi, Haoran Sun, Xingchao Liu, Azade Nova, Ruqi Zhang, Will Sussman Grathwohl, Dale Schuurmans, Hanjun Dai
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs
Alexander K. Lew, Tan Zhi-Xuan, Gabriel Grand, Vikash Mansinghka
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Oral
- Readers: Everyone
Constrained Sampling of Discrete Geometric Manifolds using Denoising Diffusion Probabilistic Models
Justin Diamond, Markus Alexander Lill
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Accelerating Diffusion-based Combinatorial Optimization Solvers by Progressive Distillation
JUNWEI HUANG, Zhiqing Sun, Yiming Yang
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Oral
- Readers: Everyone
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems
Aaron M Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Oral
- Readers: Everyone
Can LLMs Generate Random Numbers? Evaluating LLM Sampling in Controlled Domains
Aspen K Hopkins, Alex Renda, Michael Carbin
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Protein Design with Guided Discrete Diffusion
Nate Gruver, Samuel Don Stanton, Nathan C. Frey, Tim G. J. Rudner, Isidro Hotzel, Julien Lafrance-Vanasse, Arvind Rajpal, Kyunghyun Cho, Andrew Gordon Wilson
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Efficient Location Sampling Algorithms for Road Networks
Sara Ahmadian, Kostas Kollias, Ameya Velingker, Sreenivas Gollapudi, Vivek Kumar, Santhoshini Velusamy
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Towards Accelerating Benders Decomposition via Reinforcement Learning Surrogate Models
Stephen Mak, Kyle Mana, Parisa Zehtabi, Michael Cashmore, Daniele Magazzeni, Manuela Veloso
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Understanding prompt engineering does not require rethinking generalization
Victor Akinwande, Yiding Jiang, Dylan Sam, J Zico Kolter
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Oral
- Readers: Everyone
GFlowNets for Causal Discovery: an Overview
Dragos Cristian Manta, Edward J Hu, Yoshua Bengio
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Topological Neural Discrete Representation Learning à la Kohonen
Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Oral
- Readers: Everyone
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information
Arman Zharmagambetov, Brandon Amos, Aaron M Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Efficient data selection employing Semantic Similarity-based Graph Structures for model training
Roxana Maria Petcu, Subhadeep Maji
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Tackling Provably Hard Representative Selection viaGraph Neural Networks
Mehran Kazemi, Anton Tsitsulin, Hossein Esfandiari, Mohammadhossein Bateni, Deepak Ramachandran, Bryan Perozzi, Vahab Mirrokni
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Oral
- Readers: Everyone
Training Discrete EBMs with Energy Discrepancy
Tobias Schröder, Zijing Ou, Yingzhen Li, Andrew B. Duncan
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Finite-state Offline Reinforcement Learning with Moment-based Bayesian Epistemic and Aleatoric Uncertainties
Filippo Valdettaro, Aldo A. Faisal
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Annealed Biological Sequence Optimization
Yuxuan Song, Botian Wang, Hao Zhou, Wei-Ying Ma
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Hierarchical Decomposition Framework for Feasibility-hard Combinatorial Optimization
Hanbum Ko, Minu Kim, Han-Seul Jeong, Sunghoon Hong, Deunsol Yoon, Youngjoon Park, Woohyung Lim, Honglak Lee, Moontae Lee, Kanghoon Lee, Sungbin Lim, Sungryull Sohn
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Global Optimality in Bivariate Gradient-based DAG Learning
Chang Deng, Kevin Bello, Pradeep Kumar Ravikumar, Bryon Aragam
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Strictly Low Rank Constraint Optimization \\ --- An Asymptotically $\mathcal{O}(\frac{1}{t^2})$ Method
Mengyuan Zhang, Kai Liu
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning
Taoan Huang, Aaron M Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences
Zhishen Huang
- Published: 20 Jun 2023, Last Modified: 11 Oct 2023
- SODS 2023 Poster
- Readers: Everyone