Mathematical Programming @ UBC

Publications

195 papers from the last 5 years

Estimates of the dynamic structure factor for the finite temperature electron liquid via analytic continuation of path integral Monte Carlo data
T Chuna, N Barnfield, J Vorberger, MP Friedlander, T Hoheisel, T Dornheim
Physical review. B./Physical review. B, 2025
Dual formulation of the maximum entropy method applied to analytic continuation of quantum Monte Carlo data
T Chuna, N Barnfield, T Dornheim, MP Friedlander, T Hoheisel
Journal of Physics A Mathematical and Theoretical, 2025
Tracing Sedimentary Origins in Multivariate Geochronology via Constrained Tensor Factorization
N Graham, N Richardson, MP Friedlander, JE Saylor
Mathematical Geosciences, 2025
On the complexity of a simple primal-dual coordinate method
A Alacaoglu, V Cevher, SJ Wright
Mathematical Programming, 2025
Towards Weaker Variance Assumptions for Stochastic Optimization
A Alacaoglu, Y Malitsky, SJ Wright
arXiv 2504.09951, 2025
The noiseless limit and improved-prior limit of the maximum entropy method and their implications for the analytic continuation problem
T Chuna, P Hamann, S Schwalbe, MP Friedlander, T Dornheim
arXiv 2511.06915, 2025
Average-case thresholds for exact regularization of linear programs
MP Friedlander, S Kubal, Y Plan, MR Scott
arXiv 2510.13083, 2025
Tracking Cu‐Fertile Sediment Sources via Multivariate Petrochronological Mixture Modeling of Detrital Zircons
JE Saylor, N Richardson, N Graham, RG Lee, MP Friedlander
Journal of Geophysical Research Earth Surface, 2025
Scalable Data-Driven Basis Selection for Linear Machine Learning Interatomic Potentials
T Torabi, M Militzer, MP Friedlander, C Ortner
arXiv 2504.16418, 2025
Endmember modelling of detrital zircon petrochronology data via multivariate Tucker-1 tensor decomposition
JE Saylor, N Richardson, N Graham, RG Lee, MP Friedlander
2025
On the expected ℓ∞-norm of high-dimensional martingales
NJA Harvey, C Liaw, VS Portella
Stochastic Processes and their Applications, 2025
Set Smoothness Unlocks Clarke Hyper-stationarity in Bilevel Optimization
H Chen, J Li, AM So
arXiv 2506.04587, 2025
A view on learning robust goal-conditioned value functions: Interplay between RL and MPC
NP Lawrence, PD Loewen, MG Forbes, RB Gopaluni, A Mesbah
Annual Reviews in Control, 2025
Performance of the Offer-Everything Policy
WT Huh, J Paat, M Queyranne
Operations Research, 2025
Optimal Bounds for Tyler's M-Estimator for Elliptical Distributions
L Lau, A Ramachandran
arXiv 2510.13751, 2025
Computational aspects of the trace norm contraction coefficient
I Delsol, O Fawzi, J Kochanowski, A Ramachandran
arXiv 2507.16737, 2025
Glocal Smoothness: Line Search can really help!
C Fox, A Mishkin, S Vaswani, M Schmidt
arXiv 2506.12648, 2025
Implicit Bias of Spectral Descent and Muon on Multiclass Separable Data
F Chen, M Schmidt, C Thrampoulidis
arXiv 2502.04664, 2025
Ringversuch zur Bestimmung der Kohlenstoffgehalte in Oberflächensedimenten der Deutschen Ostsee
K Wallmann, M Schmidt
2025
Beyond submodular maximization via one-sided smoothness
M Ghadiri, R Santiago, FB Shepherd
Mathematical Programming, 2025
Uncrossed Multiflows and Applications to Disjoint Paths
C Chekuri, G Naves, J Poremba, FB Shepherd
arXiv 2511.00254, 2025
Cut-sufficient directed 2-commodity multiflow topologies
J Poremba, FB Shepherd
Mathematical Programming, 2025
Diagonalizing the Softmax: Hadamard Initialization for Tractable Cross-Entropy Dynamics
C Garrod, C Thrampoulidis
arXiv 2512.04006, 2025
Facts in Stats: Impacts of Pretraining Diversity on Language Model Generalization
T Behnia, P Deora, C Thrampoulidis
arXiv 2510.16096, 2025
Next-Token Prediction Capacity: General Upper Bounds and a Lower Bound for Transformers
L Madden, C Fox, C Thrampoulidis
IEEE Transactions on Information Theory, 2025
Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining
N Stromberg, C Thrampoulidis, L Sankar
arXiv 2506.20025, 2025
On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization
W Deng, Y Ren, M Li, DJ Sutherland, X Li, C Thrampoulidis
arXiv 2505.18830, 2025
Geometry of Semantics in Next-Token Prediction: How Optimization Implicitly Organizes Linguistic Representations
Y Zhao, C Thrampoulidis
arXiv 2505.08348, 2025
Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation
S Mahdavi, M Li, K Liu, C Thrampoulidis, L Sigal, R Liao
arXiv 2501.14275, 2025
Where are the Masks: Instance Segmentation with Image-level Supervision
I Laradji, D Vázquez, M Schmidt
arXiv (Cornell University), 2024
On the Column Number and Forbidden Submatrices for Δ-Modular Matrices
J Paat, I Stallknecht, Z Walsh, L Xu
SIAM Journal on Discrete Mathematics, 2024
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
NP Lawrence, PD Loewen, S Wang, MG Forbes, RB Gopaluni
Automatica, 2024
The MIP Workshop 2023 Computational Competition on reoptimization
S Bolusani, M Besançon, A Gleixner, T Berthold, C D’Ambrosio, G Muñoz, J Paat, D Thomopulos
Mathematical Programming Computation, 2024
Memory Capacity of Two Layer Neural Networks with Smooth Activations
L Madden, C Thrampoulidis
SIAM Journal on Mathematics of Data Science, 2024
Tight analyses for subgradient descent I: Lower bounds
NJA Harvey, C Liaw, S Randhawa
Open Journal of Mathematical Optimization, 2024
Guiding Reinforcement Learning with Incomplete System Dynamics
S Wang, J Duan, NP Lawrence, PD Loewen, MG Forbes, RB Gopaluni, L Zhang
2024
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
A Bietti, F Künstner, A Milligan, M Schmidt, R Yadav
2024
Implicit Optimization Bias of Next-token Prediction in Linear Models
C Thrampoulidis
2024
Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity
A Alacaoglu, D Kim, SJ Wright
arXiv 2402.05071, 2024
Cardinality-constrained structured data-fitting problems
Z Fan, F Huang, MP Friedlander
Open Journal of Mathematical Optimization, 2024
TRACING SEDIMENTARY ORIGINS IN MULTIVARIATE GEOCHRONOLOGYVIA CONSTRAINED TENSOR FACTORIZATION
N Graham, N Richardson, JE Saylor, MP Friedlander
Abstracts with programs - Geological Society of America, 2024
Explicit Orthogonal Arrays and Universal Hashing with Arbitrary Parameters
NJA Harvey, A Sahami
2024
Deep Hankel matrices with random elements
NP Lawrence, PD Loewen, S Wang, MG Forbes, RB Gopaluni
arXiv 2404.15512, 2024
Extended formulations for the integer hull of strictly Δ-modular cographic polyhedral cones
J Paat, Z Walsh, L Xu
Operations Research Letters, 2024
A characterization of unimodular hypergraphs with disjoint hyperedges
M Caoduro, M Neuwohner, J Paat
arXiv 2411.10593, 2024
A characterization of maximal homogeneous-quadratic-free sets
G Muñoz, J Paat, F Serrano
Mathematical Programming, 2024
Compressing branch-and-bound trees
G Muñoz, J Paat, ÁS Xavier
Mathematical Programming, 2024
Product Design Problems with Operational Constraints: Efficient Algorithms Within the EBA Framework
N Zhang, WT Huh, J Paat
SSRN Electronic Journal, 2024
Hidden Convexity, Optimization, and Algorithms on Rotation Matrices
A Ramachandran, K Shu, AL Wang
Mathematics of Operations Research, 2024
Strongly Polynomial Frame Scaling to High Precision
D Dadush, A Ramachandran
Society for Industrial and Applied Mathematics eBooks, 2024
Don't Be So Positive: Negative Step Sizes in Second-Order Methods
B Shea, M Schmidt
arXiv 2411.11224, 2024
Why Line Search when you can Plane Search? SO-Friendly Neural Networks allow Per-Iteration Optimization of Learning and Momentum Rates for Every Layer
B Shea, M Schmidt
arXiv 2406.17954, 2024
BlockLLM: Memory-Efficient Adaptation of LLMs by Selecting and Optimizing the Right Coordinate Blocks
AV Ramesh, V Ganapathiraman, I Laradji, M Schmidt
arXiv 2406.17296, 2024
Greedy Newton: Newton's Method with Exact Line Search
B Shea, M Schmidt
arXiv 2401.06809, 2024
A Parameterized Family of Meta-Submodular Functions
M Ghadiri, R Santiago, FB Shepherd
Society for Industrial and Applied Mathematics eBooks, 2024
Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods
H Taheri, C Thrampoulidis, A Mazumdar
arXiv 2410.10024, 2024
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features
T Behnia, C Thrampoulidis
2024
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
X Zhang, M Li, J Chen, C Thrampoulidis, S Oymak
Proceedings of the AAAI Conference on Artificial Intelligence, 2024
Fast Test Error Rates for Gradient-Based Algorithms on Separable Data
P Deora, B Vasudeva, V Sharan, C Thrampoulidis
2024
Data-driven texture design for reducing elastic and plastic anisotropy in titanium alloys
B Ahmadikia, O Paraskevas, WV Hyning, JM Hestroffer, IJ Beyerlein, C Thrampoulidis
Acta Materialia, 2023
Sharp global convergence guarantees for iterative nonconvex optimization with random data
KA Chandrasekher, A Pananjady, C Thrampoulidis
The Annals of Statistics, 2023
Proximity and Flatness Bounds for Linear Integer Optimization
M Celaya, S Kuhlmann, J Paat, R Weismantel
Mathematics of Operations Research, 2023
A colorful Steinitz Lemma with application to block-structured integer programs
T Oertel, J Paat, R Weismantel
Mathematical Programming, 2023
Noise Is Not the Main Factor Behind the Gap Between SGD and Adam on Transformers, but Sign Descent Might Be
F Künstner, J Chen, JW Lavington, M Schmidt
arXiv 2304.13960, 2023
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation
K Wang, V Muthukumar, C Thrampoulidis
IEEE Transactions on Information Theory, 2023
Towards a Characterization of Maximal Quadratic-Free Sets
G Muñoz, J Paat, F Serrano
Lecture notes in computer science, 2023
A modular framework for stabilizing deep reinforcement learning control
NP Lawrence, PD Loewen, S Wang, MG Forbes, RB Gopaluni
IFAC-PapersOnLine, 2023
Predicting DNA kinetics with a truncated continuous-time Markov chain method
S Zolaktaf, F Dannenberg, M Schmidt, A Condon, E Winfree
Computational Biology and Chemistry, 2023
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
X Cai, A Alacaoglu, J Diakonikolas
arXiv 2310.02987, 2023
Optimal anytime regret with two experts
NJA Harvey, C Liaw, E Perkins, S Randhawa
Mathematical Statistics and Learning, 2023
Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models
L Galli, H Rauhut, M Schmidt
arXiv 2306.12747, 2023
Fast Convergence of Random Reshuffling Under Over-Parameterization and the Polyak-Łojasiewicz Condition
F Chen, C Thrampoulidis, M Schmidt
Lecture notes in computer science, 2023
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
W Deng, C Thrampoulidis, X Li
arXiv 2310.18285, 2023
Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints
A Alacaoglu, SJ Wright
arXiv 2311.00678, 2023
Reinforcement Learning with Partial Parametric Model Knowledge
S Wang, PD Loewen, NP Lawrence, MG Forbes, RB Gopaluni
IFAC-PapersOnLine, 2023
Analyzing and Improving Greedy 2-Coordinate Updates for Equality-Constrained Optimization via Steepest Descent in the 1-Norm
AV Ramesh, A Mishkin, M Schmidt, Y Zhou, JW Lavington, J She
arXiv 2307.01169, 2023
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization
F Chen, G Choné-Ducasse, M Schmidt, C Thrampoulidis
arXiv 2305.18666, 2023
Target-based Surrogates for Stochastic Optimization
JW Lavington, S Vaswani, R Babanezhad, M Schmidt, NL Roux
arXiv 2302.02607, 2023
Diversity Embeddings and the Hypergraph Sparsest Cut
AD Jozefiak, FB Shepherd
arXiv 2303.04199, 2023
Asymptotic Behavior of Adversarial Training in Binary Linear Classification
H Taheri, R Pedarsani, C Thrampoulidis
IEEE Transactions on Neural Networks and Learning Systems, 2023
Fast Convergence in Learning Two-Layer Neural Networks with Separable Data
H Taheri, C Thrampoulidis
Proceedings of the AAAI Conference on Artificial Intelligence, 2023
On Weighted Cross-Entropy for Label-Imbalanced Separable Data: An Algorithmic-Stability Study
P Deora, C Thrampoulidis
2023
Deep reinforcement learning with shallow controllers: An experimental application to PID tuning
NP Lawrence, MG Forbes, PD Loewen, DG McClement, JU Backström, RB Gopaluni
Control Engineering Practice, 2022
Improving Fairness for Data Valuation in Horizontal Federated Learning
Z Fan, F Huang, Z Zhou, J Pei, MP Friedlander, C Liu, Y Zhang
2022 IEEE 38th International Conference on Data Engineering (ICDE), 2022
Meta-reinforcement learning for the tuning of PI controllers: An offline approach
DG McClement, NP Lawrence, JU Backström, PD Loewen, MG Forbes, RB Gopaluni
Journal of Process Control, 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data
M Li, X Zhang, C Thrampoulidis, J Chen, S Oymak
arXiv 2201.01212, 2022
On the Convergence of Stochastic Primal-Dual Hybrid Gradient
A Alacaoglu, O Fercoq, V Cevher
SIAM Journal on Optimization, 2022
Fair and efficient contribution valuation for vertical federated learning
Z Fan, F Huang, Z Zhou, J Pei, MP Friedlander, Y Zhang
arXiv 2201.02658, 2022
Binary Classification of Gaussian Mixtures: Abundance of Support Vectors, Benign Overfitting, and Regularization
K Wang, C Thrampoulidis
SIAM Journal on Mathematics of Data Science, 2022
Polynomial Upper Bounds on the Number of Differing Columns of Δ-Modular Integer Programs
J Lee, J Paat, I Stallknecht, L Xu
Mathematics of Operations Research, 2022
Improving the Cook et al. Proximity Bound Given Integral Valued Constraints
M Celaya, S Kuhlmann, J Paat, R Weismantel
Lecture notes in computer science, 2022
SVRG meets AdaGrad: painless variance reduction
B Dubois-Taine, S Vaswani, R Babanezhad, M Schmidt, S Lacoste-Julien
Machine Learning, 2022
From Perspective Maps to Epigraphical Projections
MP Friedlander, A Goodwin, T Hoheisel
Mathematics of Operations Research, 2022
A Splitting Scheme for Flip-Free Distortion Energies
O Stein, J Li, J Solomon
SIAM Journal on Imaging Sciences, 2022
Meta-Reinforcement Learning for Adaptive Control of Second Order Systems
DG McClement, NP Lawrence, MG Forbes, PD Loewen, JU Backström, RB Gopaluni
2022
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent (Extended Abstract)
F Künstner, R Kumar, M Schmidt
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
A dual approach for federated learning
Z Fan, F Huang, MP Friedlander
arXiv 2201.11183, 2022
Quantum algorithms for structured prediction
B Sepehry, E Iranmanesh, MP Friedlander, P Ronagh
Quantum Machine Intelligence, 2022
Polar Deconvolution of Mixed Signals
Z Fan, H Jeong, B Joshi, MP Friedlander
IEEE Transactions on Signal Processing, 2022
When Do Gomory--Hu Subtrees Exist?
G Naves, FB Shepherd
SIAM Journal on Discrete Mathematics, 2022
Beyond the Golden Ratio for Variational Inequality Algorithms
A Alacaoglu, A Böhm, Y Malitsky
arXiv 2212.13955, 2022
Knowledge-Injected Federated Learning
Z Fan, Z Zhou, J Pei, MP Friedlander, J Hu, C Li, Y Zhang
arXiv 2208.07530, 2022
Continuous Prediction with Experts' Advice
VS Portella, C Liaw, NJA Harvey
arXiv 2206.00236, 2022
A Colorful Steinitz Lemma with Applications to Block Integer Programs
T Oertel, J Paat, R Weismantel
arXiv 2201.05874, 2022
A knapsack intersection hierarchy
A Jozefiak, FB Shepherd, N Weninger
Operations Research Letters, 2022
Maximum weight disjoint paths in outerplanar graphs via single-tree cut approximators
G Naves, FB Shepherd, H Xia
Mathematical Programming, 2022
Data-driven texture design for nearly-isotropic elastic and plastic properties in titanium-based materials
B Ahmadikia, O Paraskevas, WV Hyning, JM Hestroffer, IJ Beyerlein, C Thrampoulidis
2022
On how to avoid exacerbating spurious correlations when models are overparameterized
T Behnia, K Wang, C Thrampoulidis
2022 IEEE International Symposium on Information Theory (ISIT), 2022
Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data
A Alacaoglu, H Lyu
arXiv 2203.15797, 2022
On the Complexity of a Practical Primal-Dual Coordinate Method
A Alacaoglu, V Cevher, SJ Wright
arXiv 2201.07684, 2022
Efficient and Optimal Fixed-Time Regret with Two Experts
L Greenstreet, NJA Harvey, VS Portella
arXiv 2203.07577, 2022
SA18 Development and Application of a Taxonomy on the Beneficial Effects of Oral Anticoagulant Switching in Atrial Fibrillation
A Adelakun, RD Turgeon, MAD Vera, K McGrail, A Safari, PD Loewen
Value in Health, 2022
Minimax linear-quadratic controller design
JZ Hu, PD Loewen, SE Salcudean
2022
On the column number and forbidden submatrices for Δ-modular matrices
J Paat, I Stallknecht, Z Walsh, L Xu
arXiv 2212.03819, 2022
Improved Policy Optimization for Online Imitation Learning
JW Lavington, S Vaswani, M Schmidt
arXiv 2208.00088, 2022
A Knapsack Intersection Hierarchy Applied to All-or-Nothing Flow in Trees
A Jozefiak, FB Shepherd, N Weninger
arXiv 2201.02914, 2022
Multi-Environment Meta-Learning in Stochastic Linear Bandits
A Moradipari, M Ghavamzadeh, T Rajabzadeh, C Thrampoulidis, M Alizadeh
2022 IEEE International Symposium on Information Theory (ISIT), 2022
A model of double descent for high-dimensional binary linear classification
Z Deng, A Kammoun, C Thrampoulidis
Information and Inference A Journal of the IMA, 2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
X Chang, Y Li, S Oymak, C Thrampoulidis
Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Forward-reflected-backward method with variance reduction
A Alacaoglu, Y Malitsky, V Cevher
Computational Optimization and Applications, 2021
AutoRetouch: Automatic Professional Face Retouching
A Shafaei, JJ Little, M Schmidt
2021
Stochastic Variance Reduction for Variational Inequality Methods
A Alacaoglu, Y Malitsky
arXiv 2102.08352, 2021
Kinetics of olivine weathering in seawater: an experimental study
M Fuhr, S Geilert, M Schmidt, K Wallmann
Goldschmidt2021 abstracts, 2021
Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)
S Vaswani, I Laradji, F Künstner, SY Meng, M Schmidt, S Lacoste-Julien
2021
Phase Transitions for One-Vs-One and One-Vs-All Linear Separability in Multiclass Gaussian Mixtures
GR Kini, C Thrampoulidis
2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization
GR Kini, O Paraskevas, S Oymak, C Thrampoulidis
arXiv 2103.01550, 2021
Almost Surely Stable Deep Dynamics
NP Lawrence, PD Loewen, MG Forbes, JU Backström, RB Gopaluni
arXiv 2103.14722, 2021
Optimal Combination of Linear and Spectral Estimators for Generalized Linear Models
M Mondelli, C Thrampoulidis, R Venkataramanan
Foundations of Computational Mathematics, 2021
Tractable structured natural gradient descent using local parameterizations
L Wu, F Nielsen, ME Khan, M Schmidt
arXiv 2102.07405, 2021
Benign Overfitting in Binary Classification of Gaussian Mixtures
K Wang, C Thrampoulidis
arXiv (Cornell University), 2021
Improving Fairness for Data Valuation in Federated Learning.
Z Fan, F Huang, Z Zhou, J Pei, MP Friedlander, C Liu, Y Zhang
arXiv (Cornell University), 2021
Visualization of multiscale ring formation in a rotary kiln
LD Rippon, B Hirtz, C Sheehan, T Reinheimer, PD Loewen, RB Gopaluni
Nordic Pulp & Paper Research Journal, 2021
Constructing lattice-free gradient polyhedra in dimension two
J Paat, M Schlöter, E Speakman
Mathematical Programming, 2021
INTRODUCING A FRAMEWORK TO GENERATE AND EVALUATE THE COST EFFECTS OF PRODUCT (FAMILY) CONCEPTS
KG Mertens, M Schmidt, T YILDIZ, M Meyer
Proceedings of the Design Society, 2021
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions
H Taheri, R Pedarsani, C Thrampoulidis
International Conference on Artificial Intelligence and Statistics, 2021
Regret Bounds for Safe Gaussian Process Bandit Optimization
S Amani, M Alizadeh, C Thrampoulidis
arXiv (Cornell University), 2021
Decentralized Multi-Agent Linear Bandits with Safety Constraints
S Amani, C Thrampoulidis
Proceedings of the AAAI Conference on Artificial Intelligence, 2021
Model-plant mismatch detection for cross-directional processes
Q Lu, MG Forbes, PD Loewen, JU Backström, GA Dumont, RB Gopaluni
ISA Transactions, 2021
Polynomial upper bounds on the number of differing columns of an integer program
J Lee, J Paat, I Stallknecht, L Xu
arXiv (Cornell University), 2021
Safe Reinforcement Learning with Linear Function Approximation
S Amani, C Thrampoulidis, LF Yang
arXiv 2106.06239, 2021
Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models
H Taheri, R Pedarsani, C Thrampoulidis
Entropy, 2021
Convergence of adaptive algorithms for constrained weakly convex optimization
A Alacaoglu, Y Malitsky, V Cevher
Infoscience (Ecole Polytechnique Fédérale de Lausanne), 2021
NBIHT: An Efficient Algorithm for 1-Bit Compressed Sensing With Optimal Error Decay Rate
MP Friedlander, H Jeong, Y Plan, Ö Yılmaz
IEEE Transactions on Information Theory, 2021
The integrality number of an integer program
J Paat, M Schlöter, R Weismantel
Lecture notes in computer science, 2021
Structured second-order methods via natural gradient descent
L Wu, F Nielsen, ME Khan, M Schmidt
arXiv 2107.10884, 2021
Robust Asymmetric Learning in POMDPs
A Warrington, J Lavington, A Ścibior, M Schmidt, F Wood
International Conference on Machine Learning, 2021
The pathway elaboration method for mean first passage time estimation in large continuous-time Markov chains with applications to nucleic acid kinetics
S Zolaktaf, F Dannenberg, M Schmidt, A Condon, E Winfree
arXiv 2101.03657, 2021
Safe Linear Thompson Sampling With Side Information
A Moradipari, S Amani, M Alizadeh, C Thrampoulidis
IEEE Transactions on Signal Processing, 2021
UCB-based Algorithms for Multinomial Logistic Regression Bandits
S Amani, C Thrampoulidis
arXiv (Cornell University), 2021
Adaptation in Stochastic Algorithms: From Nonsmooth Optimization to Min-Max Problems and Beyond
A Alacaoglu
Infoscience (Ecole Polytechnique Fédérale de Lausanne), 2021
Safe-screening rules for atomic-norm regularization
Z Fan, F Huang, MP Friedlander
arXiv (Cornell University), 2021
Fast convergence of stochastic subgradient method under interpolation
F Huang, Z Fan, MP Friedlander
International Conference on Learning Representations, 2021
Approximately Optimal Fixed-Structure Controllers Using Neural Networks
DG McClement, NP Lawrence, PD Loewen, MG Forbes, JU Backström, RB Gopaluni
2021
A Meta-Reinforcement Learning Approach to Process Control
DG McClement, NP Lawrence, PD Loewen, MG Forbes, JU Backström, RB Gopaluni
IFAC-PapersOnLine, 2021
Near optimal sample complexity for matrix and tensor normal models via geodesic convexity
C Franks, R Oliveira, A Ramachandran, M Walter
arXiv 2110.07583, 2021
Spectral Analysis of Matrix Scaling and Operator Scaling
TC Kwok, LC Lau, A Ramachandran
arXiv (Cornell University), 2021
Sharp global convergence guarantees for iterative nonconvex optimization: A Gaussian process perspective
KA Chandrasekher, A Pananjady, C Thrampoulidis
arXiv 2109.09859, 2021
SAFE LINEAR BANDITS
A Moradipari, S Amani, M Aliradeh, C Thrampoulidis
2021